{"as_of":"2026-08-07T08:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:12d0089101441181985f043c649d9b330fdf96762da165b8cfa19ba31056f3ea","coverage":[{"denominator":140,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-13T23:19:46.231145Z","state":"measured"},{"denominator":200,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":200,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":153,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:10:57.081621Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T09:06:59.093499Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2307.06435","last_updated":"2024-10-17T01:10:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-12T20:01:52Z","title":"A Comprehensive Overview of Large Language Models","version":10},"reference_index":151,"source":"pdf_text","source_observed_at":"2026-05-19T20:28:38.900026Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2307.06435"},"observation_digest":"sha256:821bcf52a93ca88324e2abfffb4edd332273a75bbf7f34f1b7ba565fe3db2c52","observation_id":"4191cad0-22ca-4e8d-b145-429c81695a1f","resolution":{"observed_at":"2026-05-19T20:28:39.494156Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2310.03684","last_updated":"2024-06-11T19:02:52Z","snapshot_observed_at":"2026-07-06T16:28:22.350574Z","submitted_at":"2023-10-05T17:01:53Z","title":"SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-14T17:11:00.639293Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2310.03684"},"observation_digest":"sha256:da680f55daffad16a146be8058080f5d57c3b0cd33be471cc7541aaea0ca863c","observation_id":"0b439e74-f687-4320-bd89-53a7edc538b3","resolution":{"observed_at":"2026-05-14T17:11:01.002442Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2310.08419","last_updated":"2024-07-18T18:24:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-12T15:38:28Z","title":"Jailbreaking Black Box Large Language Models in Twenty Queries","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-12T09:48:31.721745Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2310.08419"},"observation_digest":"sha256:76fc216bbea914dc96b1e16cd257df5e017859ea39f263d6022bf634885873c7","observation_id":"931076b6-561b-4923-b667-727b6711a8b0","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2401.00870","last_updated":"2026-04-08T14:54:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-30T01:26:42Z","title":"ConfusionPrompt: Practical Private Inference for Online Large Language Models","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-24T04:57:55.197897Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2401.00870"},"observation_digest":"sha256:2d42e07fdb0b5894abb3e93dd327401b922068c39ad23b9ca485defceeec3bf4","observation_id":"8403215b-6f57-4e5b-8d2e-00bd97e024b8","resolution":{"observed_at":"2026-05-24T04:58:54.889907Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2503.22693","last_updated":"2026-05-20T06:35:51Z","snapshot_observed_at":"2026-08-02T19:43:11.453664Z","submitted_at":"2025-03-14T01:35:20Z","title":"Bridging Language Models and Financial Analysis","version":2},"reference_index":106,"source":"pdf_text","source_observed_at":"2026-05-23T01:08:58.528533Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2503.22693"},"observation_digest":"sha256:3a6e191abe556320dcaadc765e7740d58ed57724fb876157aff75aa0d2296b3f","observation_id":"9182115a-589e-47ae-bf2e-b8b63f0daf99","resolution":{"observed_at":"2026-05-23T01:12:20.990236Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2504.02429","last_updated":"2026-05-20T09:31:50Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-03T09:35:07Z","title":"MulFSA: Multi-level Financial Sentiment Analysis Framework for Bond Market","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-22T21:50:24.666622Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2504.02429"},"observation_digest":"sha256:08b3fcfb499e65bcdb9e9ed5f3dc736e6555135755b4300f07aa08d67eb47ebc","observation_id":"0187f15a-cc82-4483-a212-1ffaf1aa36b9","resolution":{"observed_at":"2026-05-22T21:52:10.837940Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2504.09114","last_updated":"2025-04-12T07:55:11Z","snapshot_observed_at":"2026-07-06T21:08:19.202163Z","submitted_at":"2025-04-12T07:55:11Z","title":"Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-22T21:07:40.706681Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2504.09114"},"observation_digest":"sha256:e3be5a0dbf59bc39a020337dfe9a3c4a86afc62d39840667398dbb883eb3912f","observation_id":"d26983a0-b370-4609-8c1e-17d261380895","resolution":{"observed_at":"2026-05-22T21:12:08.750411Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-07T05:01:08.003372Z","title":"BloombergGPT: A Large Language Model for Finance","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.09038","last_updated":"2025-06-10T17:57:30Z","snapshot_observed_at":"2026-08-07T04:54:28.526685Z","submitted_at":"2025-06-10T17:57:30Z","title":"AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:08.003372Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2506.09038"},"observation_digest":"sha256:fcab84e9dbe2f42443c036715c78e025c796d79dd2a18b2fe89908b447e2b6f4","observation_id":"3b30cbc2-a6c9-4a6c-b108-a4bc678d9e7b","resolution":{"observed_at":"2026-08-07T05:01:08.003372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2506.11512","last_updated":"2026-05-08T13:38:42Z","snapshot_observed_at":"2026-07-06T21:41:33.629441Z","submitted_at":"2025-06-13T07:13:05Z","title":"From Time Series Analysis to Question Answering: A Survey in the LLM Era","version":2},"reference_index":108,"source":"pdf_text","source_observed_at":"2026-05-19T09:31:55.829045Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2506.11512"},"observation_digest":"sha256:538f16f1edbc538e145d62c3256fb7068cc1f45a00559c998346787fc8680b08","observation_id":"5b3553ae-e512-4568-99e1-7f48de852341","resolution":{"observed_at":"2026-05-19T09:32:16.077653Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-07T01:02:31.124015Z","title":"Bloomberggpt: A large language model for finance","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12274","last_updated":"2025-06-13T23:03:11Z","snapshot_observed_at":"2026-08-07T00:52:06.958006Z","submitted_at":"2025-06-13T23:03:11Z","title":"InfoFlood: Jailbreaking Large Language Models with Information Overload","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T01:02:31.124015Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2506.12274"},"observation_digest":"sha256:343f3e8875d22140c159f062dca1d9766cc227cfc1af60bc003a64bfee026b05","observation_id":"73cea915-73c7-46c1-b2e3-ef246887c76b","resolution":{"observed_at":"2026-08-07T01:02:31.124015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-07T00:39:42.274831Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12958","last_updated":"2025-06-20T15:52:06Z","snapshot_observed_at":"2026-08-07T07:24:20.034880Z","submitted_at":"2025-06-15T20:42:45Z","title":"Domain Specific Benchmarks for Evaluating Multimodal Large Language Models","version":2},"reference_index":167,"source":"pdf_text","source_observed_at":"2026-08-07T00:39:42.274831Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2506.12958"},"observation_digest":"sha256:5b67127426d45dabfd4e92417e5bbad61583fc49f250f98811df591de38a985d","observation_id":"1bb4198f-01d6-4112-a079-b4d2859d512a","resolution":{"observed_at":"2026-08-07T00:39:42.274831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-07T00:40:53.157704Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13055","last_updated":"2025-06-16T02:52:44Z","snapshot_observed_at":"2026-08-07T00:34:37.705489Z","submitted_at":"2025-06-16T02:52:44Z","title":"CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:53.157704Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2506.13055"},"observation_digest":"sha256:51bfeb72677ff0b5d2e707e72ee68bde5a0d8b539b325de1489961248143469b","observation_id":"00eff4f7-128e-4133-b819-765a69dcb5f9","resolution":{"observed_at":"2026-08-07T00:40:53.157704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-07T00:40:41.094414Z","title":"Irsoy, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13066","last_updated":"2025-06-16T03:19:31Z","snapshot_observed_at":"2026-08-07T02:53:10.665842Z","submitted_at":"2025-06-16T03:19:31Z","title":"FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T00:40:41.094414Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2506.13066"},"observation_digest":"sha256:61528a3c88c383e263ce5c1acd706a70c633a3051a329b96f8bd83eddf881ea8","observation_id":"1e931f0c-4730-4a9a-b1bf-3a2acf6505fd","resolution":{"observed_at":"2026-08-07T00:40:41.094414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2506.13538","last_updated":"2026-04-13T03:45:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-16T14:26:37Z","title":"Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers","version":5},"reference_index":148,"source":"pdf_text","source_observed_at":"2026-05-19T09:32:08.596259Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2506.13538"},"observation_digest":"sha256:d88a95530a3e3af1b8c8984bbeed2f8299ec333546d1f97daecf9cd807eeb3d8","observation_id":"6cf0f89a-26bf-49b3-9d6c-1052d49f9c04","resolution":{"observed_at":"2026-05-19T09:32:15.521392Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-07T05:10:57.081621Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13782","last_updated":"2025-06-10T09:14:30Z","snapshot_observed_at":"2026-08-07T05:04:16.472350Z","submitted_at":"2025-06-10T09:14:30Z","title":"XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T05:10:57.081621Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2506.13782"},"observation_digest":"sha256:c20f47b51fe1a93f3f1afe0ed3f5d949b3c82ca5d0c9c26b2f9ca668a8f99f8d","observation_id":"c7000b6c-1e31-45fb-9c09-e014ad00c42a","resolution":{"observed_at":"2026-08-07T05:10:57.081621Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T21:20:47.010676Z","title":"LLM in Finance: Revolutionizing Financial Operations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00347","last_updated":"2025-07-01T00:48:52Z","snapshot_observed_at":"2026-08-06T21:15:51.949161Z","submitted_at":"2025-07-01T00:48:52Z","title":"VTS-Guided AI Interaction Workflow for Business Insights","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:20:47.010676Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.00347"},"observation_digest":"sha256:6ebfd1c6f27fe362b5f314a8daa6145f607e08ea5c08bfefa65efd645cbb1abe","observation_id":"30dfe0c2-f688-493a-949e-c78a8dc6bebd","resolution":{"observed_at":"2026-08-06T21:20:47.010676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T21:15:10.113038Z","title":"arXiv preprint arXiv:2303.17564","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00718","last_updated":"2025-07-01T12:57:18Z","snapshot_observed_at":"2026-08-06T21:06:22.857582Z","submitted_at":"2025-07-01T12:57:18Z","title":"AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:15:10.113038Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.00718"},"observation_digest":"sha256:c4f064d2cd3787d989d27a2e461b23cd5ea7d0fa0f6d66096bef4b614d5c12e2","observation_id":"c5a5af36-0502-40ee-b9b8-add8c5f28a16","resolution":{"observed_at":"2026-08-06T21:15:10.113038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T20:08:08.837488Z","title":"Bloomberggpt: A large language model for finance","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.03865","last_updated":"2025-08-16T11:42:58Z","snapshot_observed_at":"2026-08-06T19:58:31.345730Z","submitted_at":"2025-07-05T02:29:23Z","title":"OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T20:08:08.837488Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.03865"},"observation_digest":"sha256:854fd9382bc04d5a31f0a1f4f48627dd0188c8d591ad9e93b04f6dd48daf6707","observation_id":"bd2fa558-17d1-4cef-9907-f074a86bf813","resolution":{"observed_at":"2026-08-06T20:08:08.837488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T19:21:55.595765Z","title":"Bloomberggpt: A large language model for finance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.05816","last_updated":"2025-07-08T09:36:14Z","snapshot_observed_at":"2026-08-06T19:14:59.529144Z","submitted_at":"2025-07-08T09:36:14Z","title":"Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:21:55.595765Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.05816"},"observation_digest":"sha256:5f2ff58b1993d1424c4c96e76f584a113a9283040530df9427b57dc381c3c3b6","observation_id":"d0538884-6aae-4a0d-b762-14969e6c7eec","resolution":{"observed_at":"2026-08-06T19:21:55.595765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2507.06850","last_updated":"2026-05-09T07:47:24Z","snapshot_observed_at":"2026-08-02T09:13:37.321679Z","submitted_at":"2025-07-09T13:54:58Z","title":"The Dark Side of LLMs: Agent-based Attack Vectors for System-level Compromise","version":6},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-19T06:14:52.902631Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.06850"},"observation_digest":"sha256:37c2fa60bfbc2b414b6ff2749bb02a84efb504eec946cdb64c56b7555549c3a0","observation_id":"bbd187df-f3e1-425b-af9d-3bc30eecba60","resolution":{"observed_at":"2026-05-19T06:17:07.703169Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T18:33:47.397237Z","title":"Bloomberggpt: A large language model for finance, 2023.URL https://arxiv","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.07906","last_updated":"2025-07-10T16:38:59Z","snapshot_observed_at":"2026-08-06T18:27:13.876418Z","submitted_at":"2025-07-10T16:38:59Z","title":"Agentic Retrieval of Topics and Insights from Earnings Calls","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:33:47.397237Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.07906"},"observation_digest":"sha256:ecb430db94cdbb968929418c29b21c463aee3f088290651f24dec11b53298e10","observation_id":"8f61162b-076b-4944-ba7c-26de8103f0fb","resolution":{"observed_at":"2026-08-06T18:33:47.397237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T19:50:40.846779Z","title":"Bloomberggpt: A large language model for finance.arXiv preprint arXiv:2303.17564, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08015","last_updated":"2025-07-06T20:02:08Z","snapshot_observed_at":"2026-08-06T19:43:29.301522Z","submitted_at":"2025-07-06T20:02:08Z","title":"Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T19:50:40.846779Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.08015"},"observation_digest":"sha256:9ca616d680568f77437df48cceb2b54480308d282cba53a5a589a4c24a6063dc","observation_id":"aa99ed99-a59a-4217-9a98-9c001505b94e","resolution":{"observed_at":"2026-08-06T19:50:40.846779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2507.08339","last_updated":"2026-04-12T15:21:28Z","snapshot_observed_at":"2026-08-03T04:47:14.414076Z","submitted_at":"2025-07-11T06:37:44Z","title":"What Factors Affect LLMs and RLLMs in Financial Question Answering?","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-19T05:06:43.406540Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.08339"},"observation_digest":"sha256:d046a244cd1094a9f7a2017d0419431a94a2493ebca10c820fbfb5a42f1209e3","observation_id":"59bb3795-a127-4c43-88b0-1f9f53e7226c","resolution":{"observed_at":"2026-05-19T05:07:04.500240Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T17:47:40.172271Z","title":"BloombergGPT: A large language model for finance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09955","last_updated":"2025-07-14T06:10:30Z","snapshot_observed_at":"2026-08-06T17:40:46.577608Z","submitted_at":"2025-07-14T06:10:30Z","title":"DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T17:47:40.172271Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.09955"},"observation_digest":"sha256:e73eb288fd2cff1fc4d8942d69d195e963d27b599491bf63135c1eaf1acd764f","observation_id":"f8f6dc85-ec5c-42d2-8e92-ed43b30c1bb3","resolution":{"observed_at":"2026-08-06T17:47:40.172271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T20:02:14.229995Z","title":"arXiv preprint arXiv:2303.17564 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.10448","last_updated":"2025-07-05T10:12:25Z","snapshot_observed_at":"2026-08-06T19:55:33.951855Z","submitted_at":"2025-07-05T10:12:25Z","title":"FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarios","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:02:14.229995Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.10448"},"observation_digest":"sha256:4aa29518180d094abf9a4bad367af2aba33a73ffca6d93ececbcbf3e35a94188","observation_id":"d90730ae-a719-42d2-b6d2-118059db6e97","resolution":{"observed_at":"2026-08-06T20:02:14.229995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T17:32:33.592955Z","title":"Bloomberggpt: A large language model for finance","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.10535","last_updated":"2025-08-14T17:58:50Z","snapshot_observed_at":"2026-08-06T17:26:10.296563Z","submitted_at":"2025-07-14T17:56:29Z","title":"CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T17:32:33.592955Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.10535"},"observation_digest":"sha256:3d747ea1cd9bab81d528104d16c69431b64aa8fe7e9361c727b2d4a01abf8f28","observation_id":"315537e2-45d4-4d6b-8b39-5b45057ab3ba","resolution":{"observed_at":"2026-08-06T17:32:33.592955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T16:19:51.112230Z","title":"Bloomberggpt: A large language model for finance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13858","last_updated":"2025-07-18T12:23:47Z","snapshot_observed_at":"2026-08-07T06:42:15.554513Z","submitted_at":"2025-07-18T12:23:47Z","title":"InTraVisTo: Inside Transformer Visualisation Tool","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T16:19:51.112230Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.13858"},"observation_digest":"sha256:de9881c3ab5f5c9d2ad1ce822264ab8654357996998204fb5092d7d47e03cadc","observation_id":"b3a33212-e8af-4a0f-9e6e-06c3f156b56e","resolution":{"observed_at":"2026-08-06T16:19:51.112230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T15:12:49.971218Z","title":"Bloomberggpt: A large language model for finance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16642","last_updated":"2025-07-22T14:39:54Z","snapshot_observed_at":"2026-08-06T15:02:55.000814Z","submitted_at":"2025-07-22T14:39:54Z","title":"Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:49.971218Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.16642"},"observation_digest":"sha256:a87a7e4b3b4c2d3794cdabb56af1b7bb355226ca7d484a3ad66402a39799b505","observation_id":"13ed3c7b-1ade-4382-9fe9-6e01d6c27ea1","resolution":{"observed_at":"2026-08-06T15:12:49.971218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T13:54:38.200952Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20014","last_updated":"2025-07-30T08:46:55Z","snapshot_observed_at":"2026-08-06T13:54:37.082369Z","submitted_at":"2025-07-26T17:07:01Z","title":"Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T13:54:38.200952Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.20014"},"observation_digest":"sha256:fa5e3aafc8fca76ed784e543e5894f85949ed582afc8c61a721ca0a8a4329492","observation_id":"3a843492-04f4-45f1-afb9-3a9eafba0716","resolution":{"observed_at":"2026-08-06T13:54:38.200952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T13:37:54.862401Z","title":"BloombergGPT: A Large Language Model for Finance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20419","last_updated":"2025-07-27T21:30:50Z","snapshot_observed_at":"2026-08-06T13:37:49.830850Z","submitted_at":"2025-07-27T21:30:50Z","title":"Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks?","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T13:37:54.862401Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.20419"},"observation_digest":"sha256:8279cff7651f291ea3a36b275ed2870dc8a1df54c5a33ccac2e2ffab3f8c6f02","observation_id":"c865e660-91f3-44ca-8312-1150c6491cd4","resolution":{"observed_at":"2026-08-06T13:37:54.862401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T13:10:37.594735Z","title":"Bloomberggpt: A large language model for finance","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.20930","last_updated":"2025-07-30T17:19:41Z","snapshot_observed_at":"2026-08-06T13:10:34.352042Z","submitted_at":"2025-07-28T15:41:53Z","title":"FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T13:10:37.594735Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.20930"},"observation_digest":"sha256:63574baff2a236a1a5c087385e6ee67894ecab3b2fac199bf65aa7104f353f50","observation_id":"0e89e3c1-1212-4d49-8798-db5b22474737","resolution":{"observed_at":"2026-08-06T13:10:37.594735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T15:04:20.873559Z","title":"Bloomberggpt: A large language model for finance, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21134","last_updated":"2026-07-27T09:44:33Z","snapshot_observed_at":"2026-08-06T14:59:02.897315Z","submitted_at":"2025-07-22T17:52:29Z","title":"TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:04:20.873559Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.21134"},"observation_digest":"sha256:cf368be9e96312d9f83c796c213401076cedd323f44c1c7e44f2f92f12ec06ac","observation_id":"8338f70a-785d-4492-bf4a-22d8e7b2c92a","resolution":{"observed_at":"2026-08-06T15:04:20.873559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T12:57:06.919369Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21340","last_updated":"2025-07-28T21:20:44Z","snapshot_observed_at":"2026-08-06T12:57:04.001568Z","submitted_at":"2025-07-28T21:20:44Z","title":"StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T12:57:06.919369Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2507.21340"},"observation_digest":"sha256:034000bdec92bd77c7828b13f7fed14e3483c92f4fec9d3374bfa0f517380548","observation_id":"a0ffa235-16db-44ac-861c-0b0a365fab87","resolution":{"observed_at":"2026-08-06T12:57:06.919369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T10:12:19.871559Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00554","last_updated":"2025-08-18T06:13:10Z","snapshot_observed_at":"2026-08-06T10:12:18.225877Z","submitted_at":"2025-08-01T11:48:13Z","title":"ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T10:12:19.871559Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2508.00554"},"observation_digest":"sha256:0fc566726556a4f22f5d0fccde4628da35530c8d4963be81db5074b77b7b6087","observation_id":"21b60211-ce61-4008-8559-3113524bda01","resolution":{"observed_at":"2026-08-06T10:12:19.871559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T05:22:30.772766Z","title":"arXiv preprint arXiv:2303.17564 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01866","last_updated":"2025-08-03T17:42:00Z","snapshot_observed_at":"2026-08-06T23:06:11.846316Z","submitted_at":"2025-08-03T17:42:00Z","title":"Separation Logic of Generic Resources via Sheafeology","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T05:22:30.772766Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2508.01866"},"observation_digest":"sha256:c3e92221909fba52d04a99f7209b958bf524e80ab83d96fef082e34cccb4ba4d","observation_id":"6ddd7f7f-db73-4673-a2b8-ae9d5ae54d06","resolution":{"observed_at":"2026-08-06T05:22:30.772766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-05T23:40:02.923702Z","title":"Bloomberggpt: A large language model for finance","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.05009","last_updated":"2025-08-07T03:44:20Z","snapshot_observed_at":"2026-08-05T23:40:02.288980Z","submitted_at":"2025-08-07T03:44:20Z","title":"Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T23:40:02.923702Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2508.05009"},"observation_digest":"sha256:73cfb95a8ea98f6e80126895baf450c3f12cef17528a76e257b7c8f385e20b9c","observation_id":"021f6a30-04f4-4f15-a497-f538c2f0c93b","resolution":{"observed_at":"2026-08-05T23:40:02.923702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-06T14:35:42.108571Z","title":"Wu, et al., Bloomberggpt: A large language model for finance, arXiv preprint arXiv:2303.17564 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06497","last_updated":"2025-07-24T20:52:47Z","snapshot_observed_at":"2026-08-06T14:35:41.342029Z","submitted_at":"2025-07-24T20:52:47Z","title":"Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:42.108571Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2508.06497"},"observation_digest":"sha256:adb910303a21eadd3a768c0dec6ad7044462da7dd2e4fc1c5cda2f7b282a9856","observation_id":"f6904334-740d-4f38-b602-8df58ac93bad","resolution":{"observed_at":"2026-08-06T14:35:42.108571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-05T23:59:28.335971Z","title":"arXiv preprint MM ’25, October 27–31, 2025, Dublin, Ireland Wang et al","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.09168","last_updated":"2025-08-06T15:00:24Z","snapshot_observed_at":"2026-08-05T23:59:21.792940Z","submitted_at":"2025-08-06T15:00:24Z","title":"SVGen: Interpretable Vector Graphics Generation with Large Language Models","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T23:59:28.335971Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2508.09168"},"observation_digest":"sha256:eb1b29126d99067f4098856a693790a560977cb8bbe8247538c84ee99da91ef5","observation_id":"41ad172a-10c1-430f-9515-1714692d6e40","resolution":{"observed_at":"2026-08-05T23:59:28.335971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-05T18:07:23.978080Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.15110","last_updated":"2025-08-20T22:57:00Z","snapshot_observed_at":"2026-08-05T18:07:20.839462Z","submitted_at":"2025-08-20T22:57:00Z","title":"LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T18:07:23.978080Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2508.15110"},"observation_digest":"sha256:01d1bb1a2089efa12983d628362872209441b24a0f493131c6dfbfe152ebaa4d","observation_id":"41e96e69-7bc5-4e35-bc87-250a98bcc15b","resolution":{"observed_at":"2026-08-05T18:07:23.978080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-05T15:37:49.326201Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19667","last_updated":"2025-08-27T08:27:23Z","snapshot_observed_at":"2026-08-06T07:44:14.180038Z","submitted_at":"2025-08-27T08:27:23Z","title":"Survey of Specialized Large Language Model","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T15:37:49.326201Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2508.19667"},"observation_digest":"sha256:31727197de9a1b4d36d3aee273bf403ab4abb8f06b530b3356fee852e84600da","observation_id":"148e8baa-1dc2-483d-b57c-170d11ad9427","resolution":{"observed_at":"2026-08-05T15:37:49.326201Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-05T14:22:35.249302Z","title":"arXiv preprint arXiv:2303.17564 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21417","last_updated":"2025-08-29T08:38:58Z","snapshot_observed_at":"2026-08-05T14:22:32.176043Z","submitted_at":"2025-08-29T08:38:58Z","title":"An Empirical Study of Vulnerable Package Dependencies in LLM Repositories","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T14:22:35.249302Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2508.21417"},"observation_digest":"sha256:4e811b1b85862d0e5e76d44f79a47a7ebf2d79b305bdd0d76661410fb3d025eb","observation_id":"c4455567-e132-4b2e-9138-ea2ff0096265","resolution":{"observed_at":"2026-08-05T14:22:35.249302Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-05T11:48:51.259128Z","title":"arXiv preprint arXiv:2303.17564 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.02241","last_updated":"2025-09-02T12:09:49Z","snapshot_observed_at":"2026-08-07T06:10:37.238530Z","submitted_at":"2025-09-02T12:09:49Z","title":"LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-05T11:48:51.259128Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.02241"},"observation_digest":"sha256:4e997ba243cab10efabf6e9108f2213cd73fc6d5793e1028ab80b3b892bc0150","observation_id":"9e25c5e2-6ba8-45cf-9f80-fe491413890a","resolution":{"observed_at":"2026-08-05T11:48:51.259128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-05T10:34:46.791454Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03934","last_updated":"2025-09-04T06:50:47Z","snapshot_observed_at":"2026-08-05T10:34:39.922254Z","submitted_at":"2025-09-04T06:50:47Z","title":"SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-05T10:34:46.791454Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.03934"},"observation_digest":"sha256:4231de50b9cad65d9042807b0ff45168aa8e6646b313a863186b81219e8a96cf","observation_id":"113deaa2-11db-4436-91ca-319811acd3b7","resolution":{"observed_at":"2026-08-05T10:34:46.791454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-05T05:41:41.386887Z","title":"Xiao, Y .; Sun, E.; Luo, D.; and Wang, W","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.05080","last_updated":"2025-09-10T15:45:41Z","snapshot_observed_at":"2026-08-06T10:44:02.961213Z","submitted_at":"2025-09-05T13:19:51Z","title":"MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T05:41:41.386887Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.05080"},"observation_digest":"sha256:93c8c9416eb09267c5d5deb9a11558517952d1fbc45c0bffcd5ce6e046c2e599","observation_id":"73c614c3-5eff-4867-b634-d663dafbcb90","resolution":{"observed_at":"2026-08-05T05:41:41.386887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-05T04:34:30.841739Z","title":"Bloomberggpt: A large language model for finance","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.06069","last_updated":"2025-09-07T14:22:04Z","snapshot_observed_at":"2026-08-05T04:34:27.531791Z","submitted_at":"2025-09-07T14:22:04Z","title":"From Digital Distrust to Codified Honesty: Experimental Evidence on Generative AI in Credence Goods Markets","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T04:34:30.841739Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.06069"},"observation_digest":"sha256:6a1cde0e7f824e8221ae94e994661e42377c4eaded55e8a33fdf7982c6c4dc66","observation_id":"32944e2b-a7db-4160-83b6-21517062ae30","resolution":{"observed_at":"2026-08-05T04:34:30.841739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2509.07177","last_updated":"2026-04-14T15:07:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-08T19:48:52Z","title":"Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-18T17:39:17.456350Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.07177"},"observation_digest":"sha256:40c9deccdb418beea22489d1fdc27256bb25dfcd84430fb068d9da2820f9cd52","observation_id":"a82db7ec-a2de-4329-9c3c-69fd5a288287","resolution":{"observed_at":"2026-05-18T17:42:47.427877Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-04T20:55:41.221204Z","title":"Bloomberggpt: A large language model for finance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.08269","last_updated":"2026-07-17T08:53:46Z","snapshot_observed_at":"2026-08-04T20:55:39.500853Z","submitted_at":"2025-09-10T04:05:54Z","title":"A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving","version":6},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T20:55:41.221204Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.08269"},"observation_digest":"sha256:16c24042cbff968c215db139b68b657720e4aaa504c639296e5e8915f7933d42","observation_id":"15e8957c-2573-46d5-84d2-2be8efd45f9f","resolution":{"observed_at":"2026-08-04T20:55:41.221204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2509.09544","last_updated":"2026-05-26T16:53:51Z","snapshot_observed_at":"2026-08-04T18:57:13.421998Z","submitted_at":"2025-09-11T15:37:56Z","title":"MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-05-18T17:42:34.395450Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.09544"},"observation_digest":"sha256:e10a1a473d1bc26048cff9ddeae6b1aa11c7ae579e0c2993c77e302a2336ef57","observation_id":"290575ec-5b7f-4cbd-b8ff-d46aaf000e38","resolution":{"observed_at":"2026-05-18T17:42:46.459757Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-04T18:57:21.772264Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09544","last_updated":"2026-05-26T16:53:51Z","snapshot_observed_at":"2026-08-04T18:57:13.421998Z","submitted_at":"2025-09-11T15:37:56Z","title":"MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)","version":3},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-04T18:57:21.772264Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.09544"},"observation_digest":"sha256:35e3f6caff14765fdfe6a60b4facd1b70b0d1f20e0baf8375d75ac11fe247a7d","observation_id":"8c283144-1fdc-4302-8c15-91a98521f8e9","resolution":{"observed_at":"2026-08-04T18:57:21.772264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2509.10546","last_updated":"2026-04-24T18:29:01Z","snapshot_observed_at":"2026-08-02T04:58:06.974646Z","submitted_at":"2025-09-07T22:35:15Z","title":"Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-18T17:49:42.112564Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.10546"},"observation_digest":"sha256:40e3298e1ef412fed3c14aed0f5273728d8921cbe1deb36b07fbc86c303b3d0f","observation_id":"d86c8f8a-1419-4d7c-892b-f899131710c4","resolution":{"observed_at":"2026-05-18T17:51:41.875388Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2509.13047","last_updated":"2026-04-12T16:39:21Z","snapshot_observed_at":"2026-07-06T22:30:02.223630Z","submitted_at":"2025-09-16T13:04:48Z","title":"Multi-Model Synthetic Training for Mission-Critical Small Language Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-18T15:47:00.455107Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.13047"},"observation_digest":"sha256:70abbf1fd3c21f3be9d6056f10b1cfb35255db7e1ff9afbb335a4dc2069ff1f1","observation_id":"2ee9807a-7ed4-44f2-874d-8ac26361a264","resolution":{"observed_at":"2026-05-18T15:51:34.982476Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2509.14594","last_updated":"2026-05-07T08:05:08Z","snapshot_observed_at":"2026-07-31T18:59:02.315833Z","submitted_at":"2025-09-18T03:57:50Z","title":"SynBench: A Benchmark for Differentially Private Text Generation","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-18T16:46:22.479895Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.14594"},"observation_digest":"sha256:395edb50cc207bee7c687c80b062cbc9fd97929b49765b129332b931460cad0b","observation_id":"1f4df676-eb90-4175-9846-b142cdc844c2","resolution":{"observed_at":"2026-05-18T16:46:37.495865Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2509.21637","last_updated":"2026-05-07T23:03:51Z","snapshot_observed_at":"2026-08-02T14:46:32.268900Z","submitted_at":"2025-09-25T21:54:09Z","title":"BoHA: Blockwise Hadamard Product Adaptation for Parameter-Efficient Fine-Tuning","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T13:47:15.959308Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.21637"},"observation_digest":"sha256:c7260ee1bea98c64cc52e050855cb2dbd079b4f11f02040bfc419c380591bdd8","observation_id":"85c8e2b0-963f-4e6b-9a7c-45f3edb98beb","resolution":{"observed_at":"2026-05-18T13:51:26.090355Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-04T14:43:28.534733Z","title":"Bloomberggpt: A large language model for finance","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.24372","last_updated":"2026-07-14T15:11:12Z","snapshot_observed_at":"2026-08-06T13:33:46.319626Z","submitted_at":"2025-09-29T07:19:34Z","title":"Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning","version":3},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-04T14:43:28.534733Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2509.24372"},"observation_digest":"sha256:cfd4a929fdb7168d71d5b3f0b3ca9c2ab64af2ba72bbad4aa1d5fecf64cb8071","observation_id":"fa1b9614-df6d-42fb-a2b3-d94f7d0fad23","resolution":{"observed_at":"2026-08-04T14:43:28.534733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2511.13131","last_updated":"2026-04-17T03:37:10Z","snapshot_observed_at":"2026-07-29T19:47:32.070759Z","submitted_at":"2025-11-17T08:34:41Z","title":"MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-17T22:06:30.391838Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2511.13131"},"observation_digest":"sha256:7a7e163904bd84f03edcd11a1ece29e9865367e3420636b97289bd2cd4f8b546","observation_id":"a1a3958a-21e1-448a-8b5d-ca785ce44652","resolution":{"observed_at":"2026-05-17T22:10:22.969281Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-03T17:47:51.423704Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.08211","last_updated":"2026-06-10T08:19:07Z","snapshot_observed_at":"2026-08-06T19:03:47.505682Z","submitted_at":"2025-12-09T03:41:01Z","title":"MobileFineTuner: A Mobile-Native Framework for On-Device LLM Fine-Tuning in Real-World Embedded AI Applications","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-03T17:47:51.423704Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2512.08211"},"observation_digest":"sha256:9da4fbbd68d96e8b36c6f03aec8038d3870133faa83faf7a684be7471e579e60","observation_id":"058799e7-a1bd-4c21-be9b-88ba0f43d700","resolution":{"observed_at":"2026-08-03T17:47:51.423704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2512.13040","last_updated":"2026-04-08T20:16:25Z","snapshot_observed_at":"2026-07-06T22:38:59.725645Z","submitted_at":"2025-12-15T07:09:11Z","title":"Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-16T21:59:13.588901Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2512.13040"},"observation_digest":"sha256:2dc846ae64f37ca994366a92890fc552fc51b7169da0f9d94a2aa361890a4b66","observation_id":"7f901418-3cbb-4182-86b6-7f09fe6cedcd","resolution":{"observed_at":"2026-05-16T22:01:17.931840Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-03T03:59:46.190655Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.07083","last_updated":"2026-06-01T09:27:19Z","snapshot_observed_at":"2026-08-06T22:46:42.220813Z","submitted_at":"2026-02-06T06:57:04Z","title":"Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T03:59:46.190655Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2602.07083"},"observation_digest":"sha256:c552b79e560ec1b576401c9d85b67e877db921399853aa0e753908efc2acba62","observation_id":"860cf0a1-e999-4bb5-b268-59b92150aa1d","resolution":{"observed_at":"2026-08-03T03:59:46.190655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-02T22:21:37.006765Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.17234","last_updated":"2026-05-25T04:53:29Z","snapshot_observed_at":"2026-08-04T15:47:07.006838Z","submitted_at":"2026-02-19T10:28:00Z","title":"All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection and Mitigation in LLM Backtesting","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-02T22:21:37.006765Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2602.17234"},"observation_digest":"sha256:2dd11da9676c4e6fc17d8568f512c1125db8bdf2e5add6d72153382d0eb4deed","observation_id":"7a3a5e78-e2db-43af-85dd-852ab9d0249c","resolution":{"observed_at":"2026-08-02T22:21:37.006765Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-03T02:44:05.991095Z","title":"Bloomberggpt: A large language model for finance.arXiv preprint arXiv:2303.17564, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.18481","last_updated":"2026-05-27T14:41:33Z","snapshot_observed_at":"2026-08-03T07:13:36.244963Z","submitted_at":"2026-02-10T14:29:33Z","title":"AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T02:44:05.991095Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2602.18481"},"observation_digest":"sha256:8709d84a5a685b21a8357b02948d3cc8c4a0d97452b84594fd610c67fc9099bc","observation_id":"4e44bb75-736b-4eb0-8432-266681f8b2ca","resolution":{"observed_at":"2026-08-03T02:44:05.991095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-02T21:28:32.239379Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.20094","last_updated":"2026-06-25T19:27:55Z","snapshot_observed_at":"2026-08-06T03:33:12.041359Z","submitted_at":"2026-02-23T18:06:15Z","title":"CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T21:28:32.239379Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2602.20094"},"observation_digest":"sha256:5fba3eb2b99f8a1bd2e909ece49940fb6ce701635bfea0ff52aff1e8786d7551","observation_id":"e431ab9f-3a51-4e3a-affa-11fd2fec7ae6","resolution":{"observed_at":"2026-08-02T21:28:32.239379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2603.12564","last_updated":"2026-05-25T20:11:48Z","snapshot_observed_at":"2026-08-02T22:21:29.079317Z","submitted_at":"2026-03-13T01:54:00Z","title":"Sell Me This Stock: Unsafe Recommendation Drift in LLM Agents","version":7},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-15T12:33:58.718677Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2603.12564"},"observation_digest":"sha256:02fbdc37e2faa1fbde42361969180afb61922238dabef77692006519fefcce57","observation_id":"266313c9-67f7-4241-b338-ff6ef2c558e1","resolution":{"observed_at":"2026-05-15T12:35:35.342492Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2603.13942","last_updated":"2026-04-22T08:14:00Z","snapshot_observed_at":"2026-07-31T20:35:41.258047Z","submitted_at":"2026-03-14T13:30:18Z","title":"AI Agents in Financial Markets: Architecture, Applications, and Systemic Implications","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-15T12:23:09.343910Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2603.13942"},"observation_digest":"sha256:b767535b1de2de7c26b918f187a8f181b63b3fb7ce23fc18a0a910d537a45698","observation_id":"30231172-8b10-4fce-9bb3-b637eb8af314","resolution":{"observed_at":"2026-05-15T12:25:35.616728Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2603.20480","last_updated":"2026-04-30T11:40:15Z","snapshot_observed_at":"2026-07-06T22:49:57.103822Z","submitted_at":"2026-03-20T20:24:43Z","title":"Developing an ESG-Oriented Large Language Model through ESG Practices","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-15T06:51:46.136032Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2603.20480"},"observation_digest":"sha256:5871a5e5b90ec913b2c87f270817677a06148bbe245a7d20bb3d631dbf8687fd","observation_id":"7a422632-fc71-4526-aa95-0a2c40f1dcd1","resolution":{"observed_at":"2026-05-15T06:55:10.761478Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.03888","last_updated":"2026-04-04T22:51:06Z","snapshot_observed_at":"2026-07-06T22:52:57.182669Z","submitted_at":"2026-04-04T22:51:06Z","title":"PolySwarm: A Multi-Agent Large Language Model Framework for Prediction Market Trading and Latency Arbitrage","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-13T16:55:30.415552Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.03888"},"observation_digest":"sha256:8da7b602c70c1f5d765ef1f3b1fac6cdaec2e5ed0425f8a733a90ab70dc59406","observation_id":"a85be0d2-0bcc-45e0-b158-2eb7f4510e59","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-13T10:02:23.326692Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2604.04300","last_updated":"2026-04-05T22:45:33Z","snapshot_observed_at":"2026-07-13T10:02:18.473496Z","submitted_at":"2026-04-05T22:45:33Z","title":"High-Stakes Personalization: Rethinking LLM Customization for Individual Investor Decision-Making","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-13T10:02:23.326692Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.04300"},"observation_digest":"sha256:a785b7bdabaab09cb249c276c65301656349c7db59a7c7d341cc9111e8f4cc23","observation_id":"6b043897-db69-41d0-a0e4-7546a6d33990","resolution":{"observed_at":"2026-07-13T10:02:23.326692Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.04812","last_updated":"2026-04-06T16:16:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-06T16:16:24Z","title":"SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T19:32:25.959711Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.04812"},"observation_digest":"sha256:55f8b7c18c9c5e392f4dcd0c59313a9757501edae53bb684b3106d3489b5d33c","observation_id":"a9edf46e-38b1-42b1-95a1-5aa5e0bb6ebe","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.05135","last_updated":"2026-04-06T19:55:35Z","snapshot_observed_at":"2026-07-06T22:53:55.926521Z","submitted_at":"2026-04-06T19:55:35Z","title":"SenseAI: A Human-in-the-Loop Dataset for RLHF-Aligned Financial Sentiment Reasoning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T18:42:18.737105Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.05135"},"observation_digest":"sha256:173cc1ff13a1c990c5a0d853549b67e6f22afdc135d62228ab61a30f5e230c40","observation_id":"af55d4a8-2450-478b-a21d-4b72b9fac1c1","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.05966","last_updated":"2026-05-15T16:20:04Z","snapshot_observed_at":"2026-07-06T22:54:34.877944Z","submitted_at":"2026-04-07T15:00:01Z","title":"FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T19:31:28.942597Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.05966"},"observation_digest":"sha256:413eb6301534fd5b63c56da8cf6f29e12f5bd26b60e3ed958cb52b79784b138e","observation_id":"533aeebe-529d-4744-b02b-f0ed748a2c6d","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.05966","last_updated":"2026-05-15T16:20:04Z","snapshot_observed_at":"2026-07-06T22:54:34.877944Z","submitted_at":"2026-04-07T15:00:01Z","title":"FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-19T16:52:20.720471Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.05966"},"observation_digest":"sha256:14eb3d9aa19814ead682ab5b6571d1ba6c5dbcf8562f264ad51864dd34ab1107","observation_id":"cfed80fc-d167-4514-8bf3-c893b2ddd9c1","resolution":{"observed_at":"2026-05-19T16:52:39.724488Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.08649","last_updated":"2026-04-09T18:00:00Z","snapshot_observed_at":"2026-07-06T22:57:40.773778Z","submitted_at":"2026-04-09T18:00:00Z","title":"PRAGMA: Revolut Foundation Model","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T17:37:04.381074Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.08649"},"observation_digest":"sha256:dbb32584296aa6931599c31c409c9ab76cf292cff77686d610913dc32569bdde","observation_id":"e29cb1ef-932f-4fe1-b6fd-5e02c1335577","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.09644","last_updated":"2026-03-24T01:30:36Z","snapshot_observed_at":"2026-07-06T22:58:29.952947Z","submitted_at":"2026-03-24T01:30:36Z","title":"Detecting Corporate AI-Washing via Cross-Modal Semantic Inconsistency Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-11T11:50:26.030339Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.09644"},"observation_digest":"sha256:f39d6505b01f16f8ae2fb61300e2eee4db86ac650522cc7330bc82144717a482","observation_id":"7c059ee0-1305-4051-a07c-357cb856cca2","resolution":{"observed_at":"2026-05-15T01:28:26.843208Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.10996","last_updated":"2026-04-13T04:53:06Z","snapshot_observed_at":"2026-07-06T22:59:32.051572Z","submitted_at":"2026-04-13T04:53:06Z","title":"When Valid Signals Fail: Regime Boundaries Between LLM Features and RL Trading Policies","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T16:29:54.155931Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.10996"},"observation_digest":"sha256:5d91f6b4b896601655d07113ccafff067b2d3a1bceb1f90085c5a7fcad425d82","observation_id":"82714f9d-3a86-4660-ac99-8376a98b3c70","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.14199","last_updated":"2026-04-03T06:25:21Z","snapshot_observed_at":"2026-08-02T23:48:38.385069Z","submitted_at":"2026-04-03T06:25:21Z","title":"PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-13T19:17:22.608745Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.14199"},"observation_digest":"sha256:23c1e3f4468ef62414002b79bfd3b89fbf1d58ef708f450afde8e5f28f493c86","observation_id":"cb49ee59-4721-4b23-9855-672e6647a9fe","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.14214","last_updated":"2026-04-08T19:31:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T19:31:25Z","title":"CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T17:56:21.647213Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.14214"},"observation_digest":"sha256:87bc453fff5a492cf61d60fb663a697cfed1d17d87abd7efb353669e94ec7701","observation_id":"de324d88-3816-48e6-bbda-77b44b4bd691","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.16411","last_updated":"2026-04-01T14:06:53Z","snapshot_observed_at":"2026-07-06T23:03:43.854612Z","submitted_at":"2026-04-01T14:06:53Z","title":"CGCMA: Conditionally-Gated Cross-Modal Attention for Event-Conditioned Asynchronous Fusion","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-13T22:36:26.629041Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.16411"},"observation_digest":"sha256:a0c51bffb31e79b9d3ed80439ed5cd3b52b749ed0d6bdddf2a9279c7507f9c6f","observation_id":"06e2be22-e555-45de-bbdc-909ee4de617c","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.18272","last_updated":"2026-04-20T13:48:05Z","snapshot_observed_at":"2026-07-06T23:05:08.728446Z","submitted_at":"2026-04-20T13:48:05Z","title":"MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-05-10T03:21:32.522414Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.18272"},"observation_digest":"sha256:2c46566bd991f571bd2a917db75ceac8bf81a0df1871f9a2207cc4a9e537b4fb","observation_id":"9bff3f5c-445b-476d-90bf-15548346ec32","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.18500","last_updated":"2026-04-20T16:52:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-20T16:52:22Z","title":"QRAFTI: An Agentic Framework for Empirical Research in Quantitative Finance","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-05-10T03:06:14.794251Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.18500"},"observation_digest":"sha256:1684b2b574bd37109fef8191d29dbe96f5f8b273f0df8773a951fa15fdd245b1","observation_id":"e8348cca-b9bd-4828-906e-53369d4f7762","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.19476","last_updated":"2026-04-26T05:10:37Z","snapshot_observed_at":"2026-07-06T23:06:07.161558Z","submitted_at":"2026-04-21T13:59:30Z","title":"Cross-Stock Predictability via LLM-Augmented Semantic Networks","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-10T01:18:08.946013Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.19476"},"observation_digest":"sha256:adf0c60ea8919ad234e16148a742480ee9763859d00db8494281981643ee97e2","observation_id":"d322c556-e68a-4355-85f8-826fc1ff67a6","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.23577","last_updated":"2026-04-26T07:34:36Z","snapshot_observed_at":"2026-07-06T23:09:48.137856Z","submitted_at":"2026-04-26T07:34:36Z","title":"RouteNLP: Closed-Loop LLM Routing with Conformal Cascading and Distillation Co-Optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-08T06:24:14.635561Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.23577"},"observation_digest":"sha256:0e20a710ef454140cd2b66b46be8fd0619bb8fb0e08a7657c0f3e6deca2699be","observation_id":"fea1a5db-40c9-4767-ae42-a9dec8fa1dbc","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.23585","last_updated":"2026-04-26T07:44:50Z","snapshot_observed_at":"2026-07-06T23:09:48.137856Z","submitted_at":"2026-04-26T07:44:50Z","title":"ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-08T06:17:03.951243Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.23585"},"observation_digest":"sha256:c8e03beb64376c407a66ba4e8880f3a9d502cf868976b8f11f885c086e0d921c","observation_id":"bbc56696-e3b9-4817-8009-44704159bae9","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.23588","last_updated":"2026-04-26T07:52:59Z","snapshot_observed_at":"2026-08-07T01:14:26.691464Z","submitted_at":"2026-04-26T07:52:59Z","title":"FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-08T06:24:43.021602Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.23588"},"observation_digest":"sha256:29e8a135f811c3a5686c5fc3a7621f0ef937a9b6464eb385eff6854dff2727f5","observation_id":"55381110-60ca-48e3-8b7a-6f47225910cd","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2604.26747","last_updated":"2026-04-29T14:46:10Z","snapshot_observed_at":"2026-07-06T23:12:19.460065Z","submitted_at":"2026-04-29T14:46:10Z","title":"From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-07T12:34:07.673361Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2604.26747"},"observation_digest":"sha256:3fea434f60a152ff935c346108e3a82ba7aaf44c25ac434b04c25896d47406c6","observation_id":"57999c14-daad-4065-94e5-f332d708af58","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.03147","last_updated":"2026-05-04T20:40:05Z","snapshot_observed_at":"2026-07-06T23:16:05.372336Z","submitted_at":"2026-05-04T20:40:05Z","title":"Effective Performance Measurement: Challenges and Opportunities in KPI Extraction from Earnings Calls","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-05-08T18:04:50.972507Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.03147"},"observation_digest":"sha256:43974407c410b70da44da8a75568fd0e4602135a410045da013902cff03c0209","observation_id":"768268c8-f7d6-464e-b845-73e3f5e9afac","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.05409","last_updated":"2026-07-05T14:58:21Z","snapshot_observed_at":"2026-08-04T08:24:08.386615Z","submitted_at":"2026-05-06T19:59:51Z","title":"Agentic Retrieval-Augmented Generation for Financial Document Question Answering","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-08T17:03:09.496490Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.05409"},"observation_digest":"sha256:5f63dbb29c0d37ad716a294693bddfec6a1a3fd4623d7c98a61b92044d2cb137","observation_id":"6a52c056-608e-4a92-bcfa-7af08a8e3f12","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.06730","last_updated":"2026-05-07T11:37:40Z","snapshot_observed_at":"2026-07-06T23:19:10.574595Z","submitted_at":"2026-05-07T11:37:40Z","title":"Semantic State Abstraction Interfaces for LLM-Augmented Portfolio Decisions: Multi-Axis News Decomposition and RL Diagnostics","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-11T00:58:24.066300Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.06730"},"observation_digest":"sha256:6937922ea7de498eba35f1f20f3d3569919c33c9000658ea152d6a1a52bbfcdc","observation_id":"664ce752-baac-4f0d-84e1-8142e7b9e9d5","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.09185","last_updated":"2026-05-09T21:51:08Z","snapshot_observed_at":"2026-07-06T23:21:21.560069Z","submitted_at":"2026-05-09T21:51:08Z","title":"AutoRedTrader: Autonomous Red Teaming of Trading Agents through Synthetic Misinformation Injection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-12T02:22:13.974371Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.09185"},"observation_digest":"sha256:5a9f8ac08fa4ae8c1cb982eab6613b0cee1ddc68380d03ac8a29c373187f08ed","observation_id":"02d6fcb9-8388-4717-9689-8049efb31369","resolution":{"observed_at":"2026-05-13T23:19:47.153037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.12532","last_updated":"2026-05-01T16:25:43Z","snapshot_observed_at":"2026-07-06T23:24:13.851504Z","submitted_at":"2026-05-01T16:25:43Z","title":"AgenticAITA: A Proof-Of-Concept About Deliberative Multi-Agent Reasoning for Autonomous Trading Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-14T21:51:48.686900Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.12532"},"observation_digest":"sha256:26379796b25d00cd6de102172e08812e9500d60531f901f7be2a6d14c5714e21","observation_id":"8ffd3d30-4dbd-4729-ae44-8d7edcfb504d","resolution":{"observed_at":"2026-05-14T21:53:02.301368Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.13110","last_updated":"2026-05-13T07:20:16Z","snapshot_observed_at":"2026-08-02T20:12:37.919523Z","submitted_at":"2026-05-13T07:20:16Z","title":"A Multi-Agent Orchestration Framework for Venture Capital Due Diligence","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-14T02:03:07.093779Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.13110"},"observation_digest":"sha256:356b03dd2909ca1fddee4600760c2c912d476a599715a24a4c15ec82e79accfd","observation_id":"a7a7f65f-7a19-494d-99fd-f6c18be59f31","resolution":{"observed_at":"2026-05-14T02:03:37.552137Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.13784","last_updated":"2026-05-13T17:06:15Z","snapshot_observed_at":"2026-08-01T16:38:14.287893Z","submitted_at":"2026-05-13T17:06:15Z","title":"Attention Once Is All You Need: Efficient Streaming Inference with Stateful Transformers","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-14T19:19:43.718149Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.13784"},"observation_digest":"sha256:30d4a04c8ba4fb6135638214f60b461babe352eaeb42ff384d745f7d12c6fc36","observation_id":"6b30c09a-eaa6-42b3-a375-958fe45942c5","resolution":{"observed_at":"2026-05-14T19:22:51.282990Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.15104","last_updated":"2026-05-20T10:20:54Z","snapshot_observed_at":"2026-07-06T23:26:28.006734Z","submitted_at":"2026-05-14T17:22:42Z","title":"From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-05-21T08:45:56.550821Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.15104"},"observation_digest":"sha256:aa37abbdeb7db3f4cd146227f240694539d8a5c215aaeb236871855ec7eb8466","observation_id":"e7fae059-8c90-4593-8baa-4daa4b04621b","resolution":{"observed_at":"2026-05-21T08:49:53.656821Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.15156","last_updated":"2026-05-20T17:53:38Z","snapshot_observed_at":"2026-07-06T23:26:28.006734Z","submitted_at":"2026-05-14T17:51:34Z","title":"MeMo: Memory as a Model","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-15T03:17:23.202604Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.15156"},"observation_digest":"sha256:3564d9ee6c73d44ad07782d9c7b3e55168d30cc8a38973eaf1f11de9e9d52618","observation_id":"48d46e5a-d125-4f3a-8ed6-0b5c73c6fcc9","resolution":{"observed_at":"2026-05-15T03:19:43.578420Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.15156","last_updated":"2026-05-20T17:53:38Z","snapshot_observed_at":"2026-07-06T23:26:28.006734Z","submitted_at":"2026-05-14T17:51:34Z","title":"MeMo: Memory as a Model","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-21T08:36:31.022046Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.15156"},"observation_digest":"sha256:9ecc08e2ab37f7ad445930f047574f8ae3b5a025c91469633bc81dc7cec1f303","observation_id":"57a25e15-4a69-40b9-ab90-18c4ade94879","resolution":{"observed_at":"2026-05-21T08:39:53.577898Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.15412","last_updated":"2026-05-14T20:54:40Z","snapshot_observed_at":"2026-08-02T21:49:10.184287Z","submitted_at":"2026-05-14T20:54:40Z","title":"From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-19T14:45:07.168330Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.15412"},"observation_digest":"sha256:b67e149e370535a9cddfc762feb590d61351c10e73a7f16e860f425340af8139","observation_id":"8d15e896-acde-4ef3-8f90-aea13c4d4da7","resolution":{"observed_at":"2026-05-19T14:47:36.260094Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.16776","last_updated":"2026-05-16T03:15:35Z","snapshot_observed_at":"2026-08-01T18:28:14.332482Z","submitted_at":"2026-05-16T03:15:35Z","title":"Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-05-19T21:49:07.440832Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.16776"},"observation_digest":"sha256:33411421588dd061ad343f44a059544e887d322a11a73c4681ff79b26a7e5a0e","observation_id":"d6a64e35-e0b2-453a-aaad-96d3bea38eee","resolution":{"observed_at":"2026-05-19T21:52:48.274109Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.21975","last_updated":"2026-05-21T04:09:16Z","snapshot_observed_at":"2026-07-06T23:32:20.708664Z","submitted_at":"2026-05-21T04:09:16Z","title":"Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-22T07:15:45.332957Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.21975"},"observation_digest":"sha256:cf5ddd4ecf72a6fa8ca24da05906aba75a53c30edeb211d9e69aa41167341498","observation_id":"2876f9ac-9431-4d07-b3fc-10e9ea3a5730","resolution":{"observed_at":"2026-05-22T07:16:12.872185Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.23243","last_updated":"2026-06-26T18:27:24Z","snapshot_observed_at":"2026-08-05T20:10:56.993835Z","submitted_at":"2026-05-22T05:24:43Z","title":"Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-25T04:27:57.881555Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.23243"},"observation_digest":"sha256:22ba4dfe7ee13109b213b76554d786ac9a23a80ba9068bd546ab237011bf7aca","observation_id":"0f2edcb6-403a-4a8f-816b-70f245479cd1","resolution":{"observed_at":"2026-05-25T04:30:20.195344Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.23243","last_updated":"2026-06-26T18:27:24Z","snapshot_observed_at":"2026-08-05T20:10:56.993835Z","submitted_at":"2026-05-22T05:24:43Z","title":"Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks","version":5},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T16:25:47.480189Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.23243"},"observation_digest":"sha256:79763a4cc3954cd5c92cb828b52272e095574219afd30fc07557ec300854fac5","observation_id":"2c7e73a2-e33c-4532-adaf-703822a7ea41","resolution":{"observed_at":"2026-06-30T16:35:12.917303Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.24490","last_updated":"2026-05-23T09:41:52Z","snapshot_observed_at":"2026-08-02T09:42:05.809412Z","submitted_at":"2026-05-23T09:41:52Z","title":"Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-30T13:22:50.943766Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.24490"},"observation_digest":"sha256:9b10fab46728eea2ab9c9d97b62a67c492b1769bc6fccb19fac8dcae29640453","observation_id":"6a21f9ed-250c-4651-b80a-d5499ace080a","resolution":{"observed_at":"2026-06-30T13:24:40.018791Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":"2303.17564","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-07-10T09:06:59.093499Z","title":"BloombergGPT: A Large Language Model for Finance","venue":"cs.LG","work_id":"04e9adc6-bece-4ff4-a0f6-e836d88414a7","year":2023},"citing_paper":{"arxiv_id":"2605.25030","last_updated":"2026-05-24T12:15:27Z","snapshot_observed_at":"2026-08-01T15:31:44.956983Z","submitted_at":"2026-05-24T12:15:27Z","title":"MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T12:27:46.629948Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2605.25030"},"observation_digest":"sha256:c84f8ed8e19b166976cb69323e80dc7f4680ace43b3c538c8341054561211495","observation_id":"7d052851-db5b-464c-9ab1-9536aedf8454","resolution":{"observed_at":"2026-06-30T12:34:38.870573Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2303.17564/citation-record","integrity":"/paper/2303.17564/integrity","json":"/paper/2303.17564/citation-record.json","paper":"/paper/2303.17564"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.10063","last_updated":"2019-08-27T07:40:48Z","snapshot_observed_at":"2026-07-30T05:49:50.660286Z","submitted_at":"2019-08-27T07:40:48Z","title":"FinBERT: Financial Sentiment Analysis with Pre-trained Language Models","version":1},"cited_work":{"arxiv_id":"1908.10063","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.10063","snapshot_observed_at":"2026-07-10T09:06:59.089034Z","title":"FinBERT: Financial Sentiment Analysis with Pre-trained Language Models","venue":"cs.CL","work_id":"3dd01f6f-6c0f-4a47-a6dd-6ca15bc4e219","year":2019},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/1908.10063","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:d1213670d80be4ce6caf6e58e974c54fd313dd489aecadbcafdd4e7c1047ffa8","observation_id":"8691120c-ce9c-478f-bbb7-0201becb168a","resolution":{"observed_at":"2026-05-15T20:26:05.149770Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"PLATO - XL : Exploring the large-scale pre-training of dialogue generation","venue":null,"work_id":"c1c6d296-00b7-46ca-b0d9-8274a884fa42","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:9360ef69e9b23138b90ef45fca8dd68e26c7e6121f111516add55ed1cda9d665","observation_id":"121b733e-a0c3-42e5-827b-250e51fa4c71","resolution":{"observed_at":"2026-05-13T23:19:46.956813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/d19-1371","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"S ci BERT : A pretrained language model for scientific text","venue":null,"work_id":"f4322284-a0f8-4f17-b855-c0eccacb4545","year":1980},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:1dc973a5b694bc9bc3298ccad88a0339c34b7aad2a33a6f330025061f5cbdde1","observation_id":"c4f4b191-1164-4fec-af1a-ae7b0f58df44","resolution":{"observed_at":"2026-05-13T23:19:46.381846Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T03:53:00.786686+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T03:53:00.786686+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610--623","venue":null,"work_id":"717f4c67-3986-48a0-b9f6-50e30b658cbf","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:a75ede759d4fe566fd040e0fbb2caa28a65ec9abc75dc0e9865e50e2ee0ff68a","observation_id":"c36ee420-d7af-449e-886f-33c2eeed3a3d","resolution":{"observed_at":"2026-05-13T23:19:46.930181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The fifth PASCAL recognizing textual entailment challenge","venue":null,"work_id":"b6e103a5-a597-4905-b033-4a41b167e7ac","year":2009},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:4efa530656be6d30952d47195d76fe75fbaf68776bee551d88100fb7936623aa","observation_id":"3588d77c-8a42-4d40-aacb-26dc8cb358a2","resolution":{"observed_at":"2026-05-13T23:19:47.012233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The values encoded in machine learning research","venue":null,"work_id":"5b46b11e-ad59-4930-93b8-1d5250026fa3","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:4f57b3512e4d65344a4abd4b0c443dc499271a74c33cbc00ed4bdb50ebe4c975","observation_id":"00e1c7ac-32f4-4f09-8af5-915bbe392498","resolution":{"observed_at":"2026-05-13T23:19:47.151971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"PIQA: reasoning about physical commonsense in natural language","venue":null,"work_id":"bba9c1d3-307d-4077-a554-d8ec54b30ab7","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:2642761f09eeb09c4403e51f5778d58d5edd9d6ffae2f69e537539b617666fb2","observation_id":"30482f8a-8305-43d1-8a1a-43e35a6a0b63","resolution":{"observed_at":"2026-05-13T23:19:47.125559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.5297715","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.5281/zenodo.5297715 , url =","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"6c7f8a44-6f52-448c-b819-5ba82a7bbc59","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:63df7711a81026fcd2d752e156207c1afe93a7a2b517159596bae04441df0175","observation_id":"dba84382-886e-4e42-a43a-0389ea149c27","resolution":{"observed_at":"2026-05-13T23:19:46.528243Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-14T15:19:46.660408+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T15:19:46.660408+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2022.bigscience-1.9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"GPT - N eo X -20 B : An Open-Source Autoregressive Language Model","venue":null,"work_id":"2af0caa7-05e2-4d08-961c-64691965a173","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:d58e0bf06acab605e153587232f43da775a92d790a9b1051b39ab5f6da3af88e","observation_id":"7a98386b-9aad-4557-8b5c-c0baf46e4eae","resolution":{"observed_at":"2026-05-13T23:19:46.532395Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-20T13:55:59.209002+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T13:55:59.209002+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"BioMedLM","venue":null,"work_id":"a3f5a882-8a51-4b77-8dfa-025736260ba0","year":2023},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:b62b0bec4205ac08551c24d46c0e52a44350d0725d6608fa29b7f83870d940ac","observation_id":"17a588d7-e78b-4d6f-b225-4dec556dffd1","resolution":{"observed_at":"2026-05-13T23:19:46.982918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":"2108.07258","doi":"10.1016/j.specom.2008.12.003","metadata_source":"pith","pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"On the Opportunities and Risks of Foundation Models","venue":"cs.LG","work_id":"a18039e9-928d-47c9-a836-32656a71bf71","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:adcc15e791610f5a82cdd9504200bed2f02566c52888e800bee95fc981c18f9a","observation_id":"e718c7e0-b313-4399-85e4-1f2a38716985","resolution":{"observed_at":"2026-05-13T23:19:46.605713Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-24T09:22:59.787075+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T09:22:59.787075+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.findings-emnlp.414","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2020 , journal =","venue":null,"work_id":"90e1430f-69ab-492a-9826-e3d9be987247","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:b5db9c72ac007893ba755dba388f0ed8981220dd7169c830b8b6903742222899","observation_id":"72b11fd8-23c7-48bb-ab2e-3dd3a17244c8","resolution":{"observed_at":"2026-05-13T23:19:46.571128Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-20T08:52:21.672241+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T08:52:21.672241+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Popat, Peng Xu, Franz J","venue":null,"work_id":"a7f32a08-62b6-49b4-b764-84fdc02f9e1c","year":2007},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:c6040b97bcd137680753545b3bdf4431b2f1e9e1bebc293881422a97d2902dc6","observation_id":"1910b2ef-8978-4ffd-86d2-f850b677728b","resolution":{"observed_at":"2026-05-13T23:19:46.975072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Class-based n-gram models of natural language","venue":null,"work_id":"1a4eb3c8-056c-48a3-bb1b-cdfe8dfce020","year":1992},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:90e18b7eee75cbbed388ffe06154f67465b6e4ed6a117a97bf03f17ab4ca4523","observation_id":"b585411a-3885-4772-beb7-02a6cb54676e","resolution":{"observed_at":"2026-05-13T23:19:46.960509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b03769f2-be34-4d31-b3a2-34f7b1bec9b9","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:828b23979aee54b2e98dce52a8afd5ae47e3bc7b9696da88787f338b39bf6de5","observation_id":"20cde712-610c-4cc9-89ca-69c940acdd74","resolution":{"observed_at":"2026-05-13T23:19:46.999810Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Brown, Dawn Xiaodong Song, \\'U lfar Erlingsson, Alina Oprea, and Colin Raffel","venue":null,"work_id":"e0655c1b-91b0-427f-b32e-7f4d8277431c","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:6412c02023eaa8f74b794d9e42c153255b7749559942d6d19503d2c55fae501b","observation_id":"93a1e027-1fb4-426b-990b-c409b446200f","resolution":{"observed_at":"2026-05-13T23:19:46.992134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07646","last_updated":"2023-03-06T06:28:18Z","snapshot_observed_at":"2026-08-03T19:51:05.627063Z","submitted_at":"2022-02-15T18:48:31Z","title":"Quantifying Memorization Across Neural Language Models","version":3},"cited_work":{"arxiv_id":"2202.07646","doi":"10.48550/arxiv.2202.07646","metadata_source":"pith","pith_arxiv_id":"2202.07646","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Quantifying Memorization Across Neural Language Models","venue":"cs.LG","work_id":"35487ec1-b90b-4ace-95bd-1bce30064b2e","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2202.07646","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:f0f68494d5b7b459a54be6a02409dac5dbc63f5787f1f40ac235fd31791199c0","observation_id":"4ca9f5e3-0893-43e1-823b-a725d068665c","resolution":{"observed_at":"2026-05-13T23:19:46.611817Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":"2107.03374","doi":"10.48550/arxiv.2107.03374","metadata_source":"pith","pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Evaluating Large Language Models Trained on Code","venue":"cs.LG","work_id":"042493e9-b26f-4b4e-bbde-382072ca9b08","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:9bd0f8be837b393440a283c21d14fc77f4134e3ae18b2e4308ed5d03746c6081","observation_id":"1538bedc-91a6-442b-98e7-90d2e42c6447","resolution":{"observed_at":"2026-05-13T23:19:46.618158Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-01T08:08:23.404839+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T08:08:23.404839+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1604.06174","last_updated":"2016-04-22T19:21:36Z","snapshot_observed_at":"2026-08-04T13:01:58.606241Z","submitted_at":"2016-04-21T04:15:27Z","title":"Training Deep Nets with Sublinear Memory Cost","version":2},"cited_work":{"arxiv_id":"1604.06174","doi":"10.48550/arxiv.1604.06174","metadata_source":"pith","pith_arxiv_id":"1604.06174","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Training Deep Nets with Sublinear Memory Cost","venue":"cs.LG","work_id":"f2c5c287-a500-40e4-a136-e7e3172db1d7","year":2016},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/1604.06174","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:711c6b25eede85556423c0dd71188b117911873bf34ed5fef4d00fdec96b523d","observation_id":"8612be7e-edfb-4383-9753-ca28d5d0c887","resolution":{"observed_at":"2026-05-13T23:19:46.624925Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-21T12:26:33.666045+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T12:26:33.666045+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.emnlp-main.300","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"FinQA: A dataset of numerical reasoning over financial data","venue":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","work_id":"a4902d55-173a-4dbd-bb6f-3cb744680ead","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:c371139630a45e7114f2e61ae821728cc770b450652c0d1d2b266ed498ea16a0","observation_id":"b1181017-3c92-47ce-b9e4-18ca7163d539","resolution":{"observed_at":"2026-05-13T23:19:46.454202Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"C onv F in QA : Exploring the chain of numerical reasoning in conversational finance question answering","venue":null,"work_id":"e93ebfca-67b2-458c-948e-deee98d87871","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:e780439daf394c7b39f00299392b4c52d11030ffb397f79c7728000849cf191b","observation_id":"453e10b5-622b-4658-98c5-39388d1c3032","resolution":{"observed_at":"2026-05-13T23:19:46.941431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.02311","last_updated":"2022-10-05T06:02:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-05T16:11:45Z","title":"PaLM: Scaling Language Modeling with Pathways","version":5},"cited_work":{"arxiv_id":"2204.02311","doi":"10.48550/arxiv.2204.02311","metadata_source":"pith","pith_arxiv_id":"2204.02311","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"PaLM: Scaling Language Modeling with Pathways","venue":"cs.CL","work_id":"a94f3ef7-2c49-4445-93fe-6ec16aafd966","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2204.02311","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:4372f8d75525508ebfbe758a5c373edd70e07af60a6d2ba7cb79ce3abc58573a","observation_id":"2f8f4cc3-dcf7-4e42-bdc3-96760f7d7e76","resolution":{"observed_at":"2026-05-13T23:19:46.631511Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-21T12:25:21.411055+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T12:25:21.411055+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/n19-1300","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions","venue":null,"work_id":"b0eff16f-bbcd-4d66-a41d-d89ff07a80e5","year":2019},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:c893898d3e0ae7ff967c772e6d012abb7b79f1b5a6d3e34cabffc31e8af9e924","observation_id":"21430da9-f9e2-4c3f-b197-580069be3338","resolution":{"observed_at":"2026-05-13T23:19:46.472980Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-12T15:19:26.94061+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T15:19:26.94061+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05457","last_updated":"2018-03-14T18:04:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-03-14T18:04:21Z","title":"Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge","version":1},"cited_work":{"arxiv_id":"1803.05457","doi":"10.1162/tacl_a_00448.https://aclanthology.org/2022.tacl-1.5","metadata_source":"pith","pith_arxiv_id":"1803.05457","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge","venue":"cs.AI","work_id":"28ea1282-d657-4c61-a83c-f1249be6d6b1","year":2018},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/1803.05457","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:b9052dc93a64433de4da9efa644c73593532befc8f99e4d303c97744cae4b890","observation_id":"34072e24-93b4-4b2a-983d-150aee65d509","resolution":{"observed_at":"2026-05-13T23:19:46.637437Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The pascal recognising textual entailment challenge","venue":null,"work_id":"96f4e794-b4f9-41d1-ad35-7bf1db7adc2a","year":2007},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:0a095f739dd1a251c8ec68ec5d333201ccdf98ef69099a78983e72db731920aa","observation_id":"d7b9bad9-6a9c-4b1b-a7ee-6be90f22440b","resolution":{"observed_at":"2026-05-13T23:19:46.909294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The commitmentbank: Investigating projection in naturally occurring discourse","venue":null,"work_id":"3c7c277f-60ee-49ba-b282-eb2cb618c230","year":2019},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:87b2734e64007e7e15d9b12efa97f9ab355085a14ca2a27f1a3dd54ba81db969","observation_id":"9ef1127f-0e04-4fb4-9331-dba06d43afa3","resolution":{"observed_at":"2026-05-13T23:19:47.129475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bernice: A multilingual pre-trained encoder for T witter","venue":null,"work_id":"5e4366af-73f6-4b6d-aa8c-dcb030c6d3c1","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:5dcf61886d870059afb44c5b38305b06fa405a452617b288726519607bc0e78c","observation_id":"d7b83eb8-5767-4f3f-bca0-4232b3a3b87e","resolution":{"observed_at":"2026-05-13T23:19:47.110251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"8-bit optimizers via block-wise quantization","venue":null,"work_id":"073eb6be-f75b-4927-b8fd-d0426ed0249c","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:205f288df9e947a4635f94e0e0a45dd74966533c3643a7fbac88f1fc01776ca3","observation_id":"698e1a14-9d75-4126-8173-12517d9fdfd8","resolution":{"observed_at":"2026-05-13T23:19:47.101954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/n19-1423","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding","venue":"Proceedings of the 2019 Conference of the North","work_id":"3e3c8ac8-b858-4b22-af32-393d98c883e0","year":2019},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:3ce0746b330d361ad5e793d35b6f40c33b9d3584d779f54fc9d00767de5e1cf5","observation_id":"0533a175-170d-48d5-8eaf-c2abbc18e209","resolution":{"observed_at":"2026-05-13T23:19:46.509485Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-01T13:38:13.85894+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T13:38:13.85894+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.emnlp-main.98","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi: 10.18653/v1/2021.emnlp-main.98","venue":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","work_id":"b19ba496-6a3a-4a5f-b6b8-8da3e120a557","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:b444f3ec1cfe6b20531e92e5211a2be162b5e901fcf715cdb8b62708764c2e07","observation_id":"96befe87-3f3b-4cda-8651-509a68bfbf14","resolution":{"observed_at":"2026-05-13T23:19:46.514217Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How twitter is changing the nature of financial news discovery","venue":null,"work_id":"04e5815c-5388-4c6a-a15f-a223446ce341","year":2016},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:577e078312a60bd32eb394ce7ce55f164770486925481f41ba69df7eca8c4600","observation_id":"7ba472de-4fb2-4f19-8d62-4c722b5f3993","resolution":{"observed_at":"2026-05-13T23:19:47.097248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Natural language processing in accounting, auditing and finance: A synthesis of the literature with a roadmap for future research","venue":null,"work_id":"05b051ae-1951-4a21-be4a-aac90b9d966d","year":2016},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:e3f999c46410351988dac9d6bc290a9cba57a3ab4681a52113b483971d51eebb","observation_id":"c8d804aa-4755-4e47-b6b7-a21a52d235aa","resolution":{"observed_at":"2026-05-13T23:19:47.093679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00027","last_updated":"2020-12-31T19:00:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-12-31T19:00:10Z","title":"The Pile: An 800GB Dataset of Diverse Text for Language Modeling","version":1},"cited_work":{"arxiv_id":"2101.00027","doi":"10.1117/1.jmi.10.6.061104","metadata_source":"pith","pith_arxiv_id":"2101.00027","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The Pile: An 800GB Dataset of Diverse Text for Language Modeling","venue":"cs.CL","work_id":"9b10667a-da61-4358-aceb-10578234d45d","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2101.00027","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:dac7eac4eefea93973867bc8ca7d441b765ba123e9928dae54ecc85555300e79","observation_id":"fea63e41-66dc-46e4-8e2b-c77f94be09a1","resolution":{"observed_at":"2026-05-13T23:19:46.642918Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.06935","last_updated":"2022-02-14T18:51:07Z","snapshot_observed_at":"2026-07-06T12:37:39.880827Z","submitted_at":"2022-02-14T18:51:07Z","title":"Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text","version":1},"cited_work":{"arxiv_id":"2202.06935","doi":"10.48550/arxiv.2202.06935","metadata_source":"arxiv_reference","pith_arxiv_id":"2202.06935","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Repairing the cracked foundation: A survey of obstacles in evaluation practices for generated text","venue":"arXiv (Cornell University)","work_id":"25f83845-aa97-4ecd-92b8-c247276b4d11","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2202.06935","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:e7d45443ff84466e44adb2f6a9f1cfeab2aa6a5281400761b170975826ae6a0a","observation_id":"6a529801-cd13-4405-a04f-50bf5fb6f218","resolution":{"observed_at":"2026-05-13T23:19:46.648925Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The third PASCAL recognizing textual entailment challenge","venue":null,"work_id":"627cf63f-1feb-4504-a854-47c022dbc268","year":2007},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:c2b17f8b07efd9b85a087612034242a2befea5cf896049cb2d9674b367eab055","observation_id":"4a2aa864-12ed-4e49-954a-c56286e05967","resolution":{"observed_at":"2026-05-13T23:19:47.085822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.14375","last_updated":"2022-09-28T19:04:43Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-09-28T19:04:43Z","title":"Improving alignment of dialogue agents via targeted human judgements","version":1},"cited_work":{"arxiv_id":"2209.14375","doi":"10.48550/arxiv.2209.14375","metadata_source":"pith","pith_arxiv_id":"2209.14375","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Improving alignment of dialogue agents via targeted human judgements","venue":"cs.LG","work_id":"6ad5970e-7550-4ae8-a158-7084dec7e3cc","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2209.14375","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:cc014f113ace2ec8fd7f3e39c3b9f85ff25ba02d8498a91842da15c9a7efae72","observation_id":"7e140afe-c497-49a5-b7fa-cf2b63fafc98","resolution":{"observed_at":"2026-05-14T17:54:02.323766Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gordon, Zornitsa Kozareva, and Melissa Roemmele","venue":null,"work_id":"9269664d-70c2-4de4-8d19-40b5d934aac1","year":2012},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:f4fd2571e3b3c5d38a8b47fa92da9c1ace29231260966459c1ed381bec89699a","observation_id":"af9a72de-8b0a-4313-bef9-4f63b7122f5c","resolution":{"observed_at":"2026-05-13T23:19:47.077545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.12356","last_updated":"2023-05-23T22:52:18Z","snapshot_observed_at":"2026-08-06T16:34:39.763163Z","submitted_at":"2022-09-26T01:04:52Z","title":"News Summarization and Evaluation in the Era of GPT-3","version":2},"cited_work":{"arxiv_id":"2209.12356","doi":"10.48550/arxiv.2209.12356","metadata_source":"arxiv_reference","pith_arxiv_id":"2209.12356","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"J.; and Durrett, G","venue":"arXiv (Cornell University)","work_id":"ec749274-c88c-461b-8bea-cc527ad5c047","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2209.12356","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:04af75e75d845c3e91dfa05471253628e89fe399c0f8662dfcc81005a118894d","observation_id":"ae8178db-7aa2-4d7a-ba69-4311a0de19f3","resolution":{"observed_at":"2026-05-13T23:19:46.665438Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.acl-main.740","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Don ' t Stop Pretraining: Adapt Language Models to Domains and Tasks","venue":null,"work_id":"66e4c897-cf5d-4cc9-a8a9-444f88232848","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:2501099c3cd0e8d7c377c8e408351a2d3b980d28beae37116aec8623d7dd4a3c","observation_id":"aca441ef-c3f6-4b1f-b875-a9c96b8d1715","resolution":{"observed_at":"2026-05-13T23:19:46.555893Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-23T12:53:21.390046+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T12:53:21.390046+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The second pascal recognising textual entailment challenge","venue":null,"work_id":"a52e5da0-af04-46d6-90f3-34acf3a78412","year":2006},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:79ff77bb599ef03887d2f1d6ad1d406cc49c3246509a1ac5d6fd29d979349ac0","observation_id":"35aab112-6255-4b98-971f-d1c96aa8ce2f","resolution":{"observed_at":"2026-05-13T23:19:47.073166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.08415","last_updated":"2023-06-06T01:53:32Z","snapshot_observed_at":"2026-07-06T05:01:27.910364Z","submitted_at":"2016-06-27T19:20:40Z","title":"Gaussian Error Linear Units (GELUs)","version":5},"cited_work":{"arxiv_id":"1606.08415","doi":"10.18653/v1/n19-1122","metadata_source":"pith","pith_arxiv_id":"1606.08415","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gaussian Error Linear Units (GELUs)","venue":"cs.LG","work_id":"0466fd22-03a1-4a61-af0a-a900e77bb023","year":2016},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/1606.08415","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:3c039a29674bd295853e254cf6f08dc04c084a0e944bb025b464f240c46352f1","observation_id":"903e1b21-dde7-4ffb-8c14-eb6966b0cb86","resolution":{"observed_at":"2026-05-13T23:19:46.672339Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T15:37:20.675521Z","title":"Measuring massive multitask language understanding","venue":null,"work_id":"42c395e2-9c11-4300-9b02-bf1da5b5606b","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:7985be1ae1a1e76b577bc8969395481944bda7c3f4ffe70df4799d48d7e84479","observation_id":"79640ec1-c73e-4b88-b324-87778be43e60","resolution":{"observed_at":"2026-05-13T23:19:47.063925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.findings-emnlp.379","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Query-key normalization for transformers","venue":null,"work_id":"f30abd70-2a9d-411e-a839-15476ea5d14b","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:94bed1e671a84c1281d301185bd7bda5b24e9108f2079db298a4f8874e1b94c7","observation_id":"84ea5711-b221-493d-b392-b311f63f5ac0","resolution":{"observed_at":"2026-05-13T23:19:46.581813Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.01293","last_updated":"2021-02-02T04:07:38Z","snapshot_observed_at":"2026-08-01T22:46:19.170916Z","submitted_at":"2021-02-02T04:07:38Z","title":"Scaling Laws for Transfer","version":1},"cited_work":{"arxiv_id":"2102.01293","doi":"10.48550/arxiv.2102.01293","metadata_source":"pith","pith_arxiv_id":"2102.01293","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling Laws for Transfer","venue":"cs.LG","work_id":"c58fc635-4090-4314-adf6-b45af9da58e5","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2102.01293","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:6a4bc2610499190b237741cea6ef217ad1850629758f9587b55f80d08898807a","observation_id":"d282e3b5-1fa2-49f1-a57e-b9f7606504e7","resolution":{"observed_at":"2026-05-18T00:58:13.994022Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An empirical analysis of compute-optimal large language model training","venue":null,"work_id":"e4f895b1-c42f-4033-9125-cde8f2532bb2","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:d0718eb52eeb456e9a3da19d516d77a0788282d14e3b0b2e2f74feb8aa19d8ed","observation_id":"bf8a2405-20fd-41c9-85d6-ef6534961862","resolution":{"observed_at":"2026-05-13T23:19:47.053423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/p18-1031","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In: Gurevych, I., Miyao, Y","venue":null,"work_id":"b941ac2c-a091-47f2-aefd-0ed19484adc4","year":2018},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:6f302d1e576fea3ebb96aac31286412e1abecfa5d0fe5fddcdac288413bff051","observation_id":"cf81e8c3-1062-4b19-b2d1-3cbc5e617904","resolution":{"observed_at":"2026-05-13T23:19:46.336964Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-21T17:53:41.693341+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T17:53:41.693341+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.05342","last_updated":"2020-11-29T03:40:45Z","snapshot_observed_at":"2026-07-06T07:45:18.053726Z","submitted_at":"2019-04-10T17:53:13Z","title":"ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission","version":3},"cited_work":{"arxiv_id":"1904.05342","doi":"10.48550/arxiv.1904.05342","metadata_source":"pith","pith_arxiv_id":"1904.05342","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission","venue":"cs.CL","work_id":"997be8af-a070-4f1c-8458-8e75c904f12c","year":2019},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/1904.05342","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:193f6a80b0233f5d6aefce8e6547c3c83707a5f1c4410b7d714c61fa077acddf","observation_id":"586bfbf2-90ef-4158-97ed-d0b4b7e74f83","resolution":{"observed_at":"2026-05-15T09:26:53.041773Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Continuous speech recognition by statistical methods","venue":null,"work_id":"d1ac6feb-8072-4a65-a217-89a7b8fa7deb","year":1976},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:9541748703dea067047a561e3e6c599059d35c6c1ebedb541a6d3cebff4bac78","observation_id":"52267bde-34eb-4f42-8b42-bb5589923285","resolution":{"observed_at":"2026-05-13T23:19:47.026949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1146.353463","doi":"10.1145/3531146.3534631","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scott, Sonja Mei Wang, Milagros Miceli, Pieter Delobelle, Karolina Sztandar-Sztanderska, and Bettina Berendt","venue":"2022 ACM Conference on Fairness, Accountability, and Transparency","work_id":"6c598a97-8c08-4d3c-8e61-67e53219e032","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:775d8b605b7f07f051c1af0f6820fce7c9a4cc0c714cb4544f2d04ca7111b9a7","observation_id":"cd045a5b-9df1-485f-8027-59fc6a0fca4b","resolution":{"observed_at":"2026-05-13T23:19:46.356613Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-21T08:52:28.425866+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T08:52:28.425866+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-07-06T08:52:12.656082Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":"2001.08361","doi":"10.1145/3616855.3635845","metadata_source":"pith","pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling Laws for Neural Language Models","venue":"cs.LG","work_id":"b7dd8749-9c45-4977-ab9b-64478dce1ae8","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:4e9ba961067f88314a4ed8ac56f068cbe201a6113dec1b0240b0c48367b6dc65","observation_id":"05ec998e-2aa8-4bc5-bdb7-444e835eb69c","resolution":{"observed_at":"2026-05-13T23:19:46.690408Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.05972","last_updated":"2021-11-10T22:30:21Z","snapshot_observed_at":"2026-07-06T12:07:23.642452Z","submitted_at":"2021-11-10T22:30:21Z","title":"Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training","version":1},"cited_work":{"arxiv_id":"2111.05972","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.05972","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Amazon sagemaker model parallelism: A general and flexible framework for large model training","venue":null,"work_id":"63a6ae87-2df8-4546-a728-0b0dd796069e","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2111.05972","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:bcff828d2bf24ccb4406b1c860ba91eaba5b66f3b66ef3b91063973ee9841ffd","observation_id":"17e714c6-7c11-41d5-a2f1-412ba3b1e12c","resolution":{"observed_at":"2026-05-13T23:19:46.704885Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/n18-1023","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences , url =","venue":null,"work_id":"27070247-76c7-48f5-b45e-14c35bd5e042","year":2018},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:a2717b706048d47c590a86cddc3c5710ab142460f1561be890d4567396d24915","observation_id":"8ad02359-1416-4ea2-90f8-0c08d29a100d","resolution":{"observed_at":"2026-05-13T23:19:46.376695Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.05198","last_updated":"2022-05-10T22:40:17Z","snapshot_observed_at":"2026-07-06T13:08:41.837840Z","submitted_at":"2022-05-10T22:40:17Z","title":"Reducing Activation Recomputation in Large Transformer Models","version":1},"cited_work":{"arxiv_id":"2205.05198","doi":"10.48550/arxiv.2205.05198","metadata_source":"arxiv_reference","pith_arxiv_id":"2205.05198","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Kuaishou","venue":"arXiv (Cornell University)","work_id":"95aeb8ec-f2a2-4ca9-b63d-125f9638d395","year":2024},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2205.05198","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:c5a58ecea4079b76c2315d94d56fe53e351e6a247cefd481080551a3409bd564","observation_id":"23efadb5-39a3-4564-96fa-05b7a3431662","resolution":{"observed_at":"2026-05-13T23:19:46.710952Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-21T12:26:21.423141+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T12:26:21.423141+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/p18-1007","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates","venue":null,"work_id":"ea324ef4-0488-403f-af12-20e0395a5153","year":2018},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:278d905357ca0253c89b1b7af2c1e2f9f5adda9320dd3b5335438022c8cd8151","observation_id":"4a32590e-eae8-4d13-92c9-e0562f0fb881","resolution":{"observed_at":"2026-05-13T23:19:46.387196Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-11T12:19:12.643969+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T12:19:12.643969+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.06226","last_updated":"2018-08-19T16:49:06Z","snapshot_observed_at":"2026-07-06T06:56:20.935388Z","submitted_at":"2018-08-19T16:49:06Z","title":"SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing","version":1},"cited_work":{"arxiv_id":"1808.06226","doi":"10.18653/v1/d18-2012","metadata_source":"doi_reference","pith_arxiv_id":"1808.06226","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text processing","venue":"cs.CL","work_id":"81a6320b-c2e1-4d74-a03e-9e1ff6bbed8d","year":2018},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/1808.06226","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:d2f5da7af5dce576af56f8666bdf1f373ca3d2ad339b57bb7b60d5ec44489d3b","observation_id":"d1bef25e-dd75-4c3c-aa55-de8a79c30315","resolution":{"observed_at":"2026-05-13T23:19:46.392362Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-11T12:19:12.876508+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T12:19:12.876508+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/d17-1082","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi: 10.18653/v1/D17-1082","venue":null,"work_id":"4e65f57b-0562-4172-b6d3-b4ea2e5e62fb","year":2017},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:dd3a31c4d556cef9b6d5977a38c8edb755158ad0e7f981103f3477d47494c491","observation_id":"aa2629f9-63b3-4584-9316-5b7d873dad8e","resolution":{"observed_at":"2026-05-13T23:19:46.396954Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-13T23:49:40.495585+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-13T23:49:40.495585+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"657dd469-4d01-481d-a430-a55aa11d7c29","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:b36d5cad622f3af5b22d3550f765dfe490b55f3baf68f9fa9a3067f66055eee6","observation_id":"1279b326-d23b-479c-b668-04349a75a2fc","resolution":{"observed_at":"2026-05-13T23:19:47.015913Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bioinformatics/btz682","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Bioinformatics , volume =","venue":"Bioinformatics","work_id":"e32e1961-872d-4dc5-84f6-be066ccfc32e","year":2019},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:62417fc94f3dcead6a631046527622b3b86b0a40785a6834515d873d11ab0c7d","observation_id":"ad43c711-6f1d-43d8-b374-42f4f2f3469b","resolution":{"observed_at":"2026-05-13T23:19:46.415732Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-11T03:18:56.980866+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T03:18:56.980866+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2022.acl-long.577","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Deduplicating Training Data Makes Language Models Better","venue":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","work_id":"59f1bbd1-2ddb-4173-821f-545a910ec2aa","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:ebe7607fdf57fc6f925cdd9acbfd15b5373444a90e83082a776329642ce995c3","observation_id":"1f1bdd25-3e70-4600-a0c4-2df811fcd270","resolution":{"observed_at":"2026-05-13T23:19:46.421307Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-14T17:50:54.596138+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T17:50:54.596138+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09746","last_updated":"2024-01-05T22:09:26Z","snapshot_observed_at":"2026-07-06T14:32:37.317828Z","submitted_at":"2022-12-19T18:59:45Z","title":"Evaluating Human-Language Model Interaction","version":5},"cited_work":{"arxiv_id":"2212.09746","doi":"10.48550/arxiv.2212.09746","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.09746","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Evaluating human-language model interaction.arXiv preprint arXiv:2212.09746","venue":"arXiv (Cornell University)","work_id":"943c6c38-155c-4ce6-b179-10ea0f1bcdd6","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2212.09746","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:50df8f5526fdb5c68dcb0f61417a76053bcefe6f3e6eea7f99dad92a3c39780c","observation_id":"396027a2-6847-4902-ac5a-3284a91cd97e","resolution":{"observed_at":"2026-05-13T23:19:46.429120Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.08091","last_updated":"2023-02-16T05:08:34Z","snapshot_observed_at":"2026-07-06T14:52:23.815329Z","submitted_at":"2023-02-16T05:08:34Z","title":"Do We Still Need Clinical Language Models?","version":1},"cited_work":{"arxiv_id":"2302.08091","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.08091","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2302.08091 , year=","venue":null,"work_id":"a33c8941-5311-4f2c-a385-e3979c37b564","year":2023},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2302.08091","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:1caa3c1cadcb8bc4a6cdb41c469ca26e8c5aec0594853dcb666641b00156362b","observation_id":"67ef661a-2710-4aad-939b-2e3e1584ecac","resolution":{"observed_at":"2026-05-13T23:19:46.717536Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Levesque, Ernest Davis, and L","venue":null,"work_id":"7a2441a8-ee7e-4886-8930-ea26ae17c28d","year":2011},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:476753160bba76ea77a4290df3c4c09232a0581ad9a2e7a61321702f88fbbad2","observation_id":"7e5915ad-2142-40ec-9ee4-3537597e785c","resolution":{"observed_at":"2026-05-13T23:19:47.008405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Limits to depth efficiencies of self-attention","venue":null,"work_id":"7cc528c2-070b-4f37-94dd-ca82c69e88fb","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:e1820256cfc68e89dd7fbb129238aeb88e33a1eda8cfabaa70cb2240a568b46b","observation_id":"f6c3395f-3ac2-4afa-b6a3-21c7ef00c00c","resolution":{"observed_at":"2026-05-13T23:19:47.004274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.clinicalnlp-1.17","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art","venue":null,"work_id":"ed9e9cc7-8542-45ae-9c45-d8cc7eebb1c7","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:de86d2cac3ec05933d3bc2e5a11f73ceb43b626110dc451952494a89e88862f7","observation_id":"559f6a7d-6b6a-4271-84f8-e935a0fca5fb","resolution":{"observed_at":"2026-05-13T23:19:46.443798Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.14858","last_updated":"2022-07-01T02:15:12Z","snapshot_observed_at":"2026-08-05T15:41:22.691461Z","submitted_at":"2022-06-29T18:54:49Z","title":"Solving Quantitative Reasoning Problems with Language Models","version":2},"cited_work":{"arxiv_id":"2206.14858","doi":"10.48550/arxiv.2206.14858","metadata_source":"pith","pith_arxiv_id":"2206.14858","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Solving Quantitative Reasoning Problems with Language Models","venue":"cs.CL","work_id":"17214d12-1ca8-4186-806d-53c6715383a0","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2206.14858","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:cc42a12633d42209d060a9b0328852f3a845fba7a07b2a94c469034149ada11d","observation_id":"39cd907c-edf6-495c-beed-0265ba6a244c","resolution":{"observed_at":"2026-05-13T23:19:46.723111Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-21T13:53:28.356363+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T13:53:28.356363+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09110","last_updated":"2023-10-01T21:44:23Z","snapshot_observed_at":"2026-08-01T19:14:56.803459Z","submitted_at":"2022-11-16T18:51:34Z","title":"Holistic Evaluation of Language Models","version":2},"cited_work":{"arxiv_id":"2211.09110","doi":"10.1007/bf01194075","metadata_source":"pith","pith_arxiv_id":"2211.09110","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Holistic Evaluation of Language Models","venue":"cs.CL","work_id":"cc02a01e-7218-47dc-8e66-3333e7e4adec","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2211.09110","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:4b4d158f81f2f8173c7aa4f8216b42dd1f7b7a217e5e06bd002b6fced7e38061","observation_id":"b857d7ae-e7a1-4bad-b72b-3dc02cf82a60","resolution":{"observed_at":"2026-05-13T23:19:46.406429Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Jurassic-1: Technical details and evaluation","venue":null,"work_id":"b5d1e917-8efe-4e35-bcb8-dc0a09a98a80","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:fd0ee70b809a3c6c40c11f2b420cb7e2a9cb56e6d9adcb58138937a1a4605ca3","observation_id":"5a46904d-480b-4115-8400-71d8ffd522b2","resolution":{"observed_at":"2026-05-13T23:19:47.021725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1101/2022.07.20.500902","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Evolutionary-scale prediction of atomic level protein structure with a language model","venue":"bioRxiv (Cold Spring Harbor Laboratory)","work_id":"e758fb89-8871-4a91-9c67-7694ba587db1","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:c4c6f31fb0dba94905727ae53c89e8019fe942ad55d9043c7a280ad21266ff7e","observation_id":"ee1b9c22-9d41-4cb9-9d70-8308ee52ac5b","resolution":{"observed_at":"2026-05-13T23:19:46.351593Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Autoregressive structured prediction with language models","venue":null,"work_id":"96836e73-1241-4e2c-bd49-311111f892bc","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:78b7a5a028400da59b041b9b9a0de2aaecf0165d210579df18a0b926b1ffab22","observation_id":"6d7b2146-5aa0-47c9-b6a3-4e1a294157cd","resolution":{"observed_at":"2026-05-13T23:19:47.031922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T23:11:31.663047Z","title":"Decoupled weight decay regularization","venue":null,"work_id":"50e3fd03-0db4-424f-9dda-6def0ba0c26d","year":2019},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:e7d6440fb259f85a96258374cc220c71fae714cbdc7e1ce6de1140c1036d8385","observation_id":"e44410f2-4df3-4c9f-85a5-439d5ffbb959","resolution":{"observed_at":"2026-05-13T23:19:47.045665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1093/bib/bbac409","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"BioGPT: generative pre-trained transformer for biomedical text generation and mining","venue":"Briefings in Bioinformatics","work_id":"43661b93-4853-41e9-abc1-4372af8b4c8d","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:99d0b845c99c40e9568ea4250a91da65b70dbb95eb91ba0d707dc37bf7e0dd40","observation_id":"04a3443e-c5c5-49ca-af32-8c481bd86ca7","resolution":{"observed_at":"2026-05-13T23:19:46.331119Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-18T07:51:13.082034+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-18T07:51:13.082034+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.coling-main.78","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Exploring cross-sentence contexts for named entity recognition with BERT","venue":null,"work_id":"d0ffc605-15d8-49ba-81d1-1e6e5f5e5f15","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:a83dd0e821d2a5c8df325e58bbd284aa26d983f63a789cbf7f672a52c21a8619","observation_id":"7633ad90-a4c1-4d70-9256-f9bf2e535912","resolution":{"observed_at":"2026-05-13T23:19:46.577661Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4558.319230","doi":"10.1145/3184558.3192301","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"WWW'18 Open Challenge: Financial Opinion Mining and Question Answering , year =","venue":null,"work_id":"e7561407-67cc-415b-8200-bd60aabb5f88","year":2024},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:2b91d25125f27f9965d141ff663bc8d604944bd186fe347bf7893d23ba3d3b57","observation_id":"15f8c9c3-f871-487f-aacc-c91701642d9d","resolution":{"observed_at":"2026-05-13T23:19:46.563077Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-14T09:20:18.346814+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T09:20:18.346814+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1002/asi.23062","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Korhonen, Jyrki Wallenius, and Pyry Takala","venue":"Journal of the Association for Information Science and Technology","work_id":"20192adb-1e56-4d26-abab-c486f41fab54","year":2014},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:a8f487c1a65683ed16d6d1b6f3efd1bb2619c36a32fcac36292a44fffa21f2dc","observation_id":"ff355b2c-b851-4f20-b04f-99e8c7e37b89","resolution":{"observed_at":"2026-05-13T23:19:46.547804Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10508","last_updated":"2021-12-20T13:04:18Z","snapshot_observed_at":"2026-07-06T12:20:36.165718Z","submitted_at":"2021-12-20T13:04:18Z","title":"Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP","version":1},"cited_work":{"arxiv_id":"2112.10508","doi":"10.48550/arxiv.2112.10508","metadata_source":"arxiv_reference","pith_arxiv_id":"2112.10508","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mielke, Zaid Alyafeai, Elizabeth Salesky, Colin Raffel, Manan Dey, Matthias Gall ´e, Arun Raja, Chen- glei Si, Wilson Y","venue":"arXiv (Cornell University)","work_id":"89e0e401-f1b4-4642-afbc-b411df824e3d","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2112.10508","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:30577ffa52c330ead007feabed3e70c9ab9b5b3ace7f04560b78e3799cc36746","observation_id":"c204e047-8388-4312-9431-0d41cc1ddd0b","resolution":{"observed_at":"2026-05-13T23:19:46.729797Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/d18-1260","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Can a suit of armor conduct electricity? a new dataset for open book question answering","venue":null,"work_id":"642f5867-b098-4ec2-9fd0-c6dd37388412","year":2018},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:7148a9ef7cc27251f61b016b54d3ad4e56ef886978867d4ebb4a425d7d70bbc0","observation_id":"459d6a2c-3471-45a0-b10a-e6dae1cd2c7f","resolution":{"observed_at":"2026-05-13T23:19:46.536442Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-17T19:51:13.783624+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-17T19:51:13.783624+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Recurrent neural network based language model","venue":null,"work_id":"e6ce7e56-674d-4ad3-8d37-cd9cdbbc20ac","year":2010},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:dc9706922cba683f99dab1c6454c8662dbc6011dddf7ffb18f2ae7250bbaf51a","observation_id":"d0f86be7-a4ac-48f4-97b5-6e08db9f8ef4","resolution":{"observed_at":"2026-05-13T23:19:47.089874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/n16-1098","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories","venue":null,"work_id":"df936044-6b96-4226-84c4-757bbca2f19b","year":2016},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:89aecb34965c955a28e613bbf564b1711f589382c51a75068a4c2dd89863950a","observation_id":"1637bdb6-a406-4232-b015-bf81e41a7866","resolution":{"observed_at":"2026-05-13T23:19:46.523342Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.emnlp-demos.2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"BERT weet: A pre-trained language model for E nglish tweets","venue":null,"work_id":"db119fb7-f81b-46f1-9917-dd3a5ac5d799","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:71a16c78d11127aea6c0d7bed5366f79c8df7a99c266956c0906076505815621","observation_id":"6c87ffc8-6cb4-4f85-9977-bd8c1afade54","resolution":{"observed_at":"2026-05-13T23:19:46.518694Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.acl-main.441","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Adversarial NLI : A New Benchmark for Natural Language Understanding","venue":null,"work_id":"f01d24e1-0f1b-40e1-b6f2-ce893df57833","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:a99e1d88937401f01408e6f1a5369a026efadf58b65f582da03c53f008958480","observation_id":"abf59dba-f6cf-4805-8936-6fefe2ec4ace","resolution":{"observed_at":"2026-05-13T23:19:46.505044Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.13517","last_updated":"2022-06-27T17:55:02Z","snapshot_observed_at":"2026-07-06T13:25:13.365877Z","submitted_at":"2022-06-27T17:55:02Z","title":"ProGen2: Exploring the Boundaries of Protein Language Models","version":1},"cited_work":{"arxiv_id":"2206.13517","doi":"10.48550/arxiv.2206.13517","metadata_source":"arxiv_reference","pith_arxiv_id":"2206.13517","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Progen2: exploring the boundaries of protein language models","venue":"arXiv (Cornell University)","work_id":"5deaba8d-2b1d-42c8-993a-76cd2040e153","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2206.13517","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:9383dfe960d00a65978f563e5e9430f33759eb22223f61105362743854cdb2ee","observation_id":"72e9730c-7e4b-4a18-8195-ac9d3ed5f31e","resolution":{"observed_at":"2026-05-13T23:19:46.499742Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Train with mixed precision","venue":null,"work_id":"0e571a20-1298-4cdf-9a8d-32cac7f6ad61","year":2023},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:be6ba1722aed33a5ae4901d0e66e77d9b3dfc22b1b6580a4ec0cdd60b05700e8","observation_id":"f2f62179-16b5-45e3-97e0-1bd9033d100d","resolution":{"observed_at":"2026-05-13T23:19:47.114588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Training language models to follow instructions with human feedback","venue":null,"work_id":"153b3a54-e866-4d16-8379-e3b042910117","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:613914ed47e27c0840fc0796736da04a99a72f824427daf88f1b07c116d78f2c","observation_id":"2179cd89-03df-417a-bef7-e75d317f7edf","resolution":{"observed_at":"2026-05-13T23:19:47.121448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.11309","last_updated":"2022-06-22T18:19:32Z","snapshot_observed_at":"2026-07-06T13:23:44.748842Z","submitted_at":"2022-06-22T18:19:32Z","title":"GODEL: Large-Scale Pre-Training for Goal-Directed Dialog","version":1},"cited_work":{"arxiv_id":"2206.11309","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2206.11309","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Godel: Large-scale pre-training for goal-directed dialog","venue":null,"work_id":"89f6dbe8-594f-46cd-9142-e98c945bbd80","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2206.11309","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:569da604e22c3dbcdfd3fb5a85d9936642983e5ce4ad0ee703da82fdce44883f","observation_id":"15fb2398-ff53-441b-b666-49b1d8dbe94f","resolution":{"observed_at":"2026-05-13T23:19:46.736015Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/n19-1128","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.18653/v1/N19-1128 , pages =","venue":null,"work_id":"bb238cf8-b4e9-415a-8394-57632be01ee0","year":2019},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:bf19a1a4bd69576795ed44d1c9251c93e86bf5256b3e044c939c78e9c0e265c8","observation_id":"b42c1864-85f5-4e53-a930-0a65da2ab235","resolution":{"observed_at":"2026-05-13T23:19:46.492516Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-14T06:21:02.553441+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T06:21:02.553441+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Train short, test long: Attention with linear biases enables input length extrapolation","venue":null,"work_id":"5caaa119-b5fe-45d9-865a-60416edbbe5a","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:46b2ec7423a029c2a5778be0e29c175e672bf910c3978867adc16468baf1f79e","observation_id":"8409b621-4000-4ae9-8511-e747b89d2375","resolution":{"observed_at":"2026-05-13T23:19:47.133411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Improving language understanding by generative pre-training","venue":null,"work_id":"d39ca143-116b-425b-ad98-526afd57056e","year":2018},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:9b46651a6889f13814e7246dddddd275c99008c2b6e0f8a330f87cc9260a6971","observation_id":"3b306192-bbac-4a2d-9dcc-499faf8ee2b2","resolution":{"observed_at":"2026-05-13T23:19:47.138540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Language models are unsupervised multitask learners","venue":null,"work_id":"24c6b5b3-2bae-4db5-8133-5d5629516776","year":2019},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:571be3cad838882a443eccfd850188b7d8b169f6901e48a20a66a17a5350ff19","observation_id":"e42b4361-b578-4319-8cdf-c1f429f4f7d2","resolution":{"observed_at":"2026-05-13T23:19:47.142653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Rae, Anna Potapenko, Siddhant M","venue":null,"work_id":"3144437c-75ae-4f4f-80d9-ec34a2faa8ec","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:e94c7f83923fea2e582e154b5d3efdadbde4d7fb26f788d0dc3889f8add2c13b","observation_id":"d3aeeffe-3600-4bb9-98c7-76e2a54efb6c","resolution":{"observed_at":"2026-05-13T23:19:47.148211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.11446","last_updated":"2022-01-21T18:39:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-12-08T19:41:47Z","title":"Scaling Language Models: Methods, Analysis & Insights from Training Gopher","version":2},"cited_work":{"arxiv_id":"2112.11446","doi":"10.48550/arxiv.2112.11446","metadata_source":"pith","pith_arxiv_id":"2112.11446","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling Language Models: Methods, Analysis & Insights from Training Gopher","venue":"cs.CL","work_id":"47ce8be9-e500-407d-af41-ac2d132215eb","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2112.11446","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:5cb75ce5ee4219b52f9fa9a0ae1b2fb8d8611966205cfb661e39ad719eab5b62","observation_id":"663920cf-30b7-4ec1-a48c-df9bc7f1ee92","resolution":{"observed_at":"2026-05-13T23:19:46.741343Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"77f70b47-1236-4fbb-bed7-c80cb9eda994","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:1414f25b2a3f9c1b405fb04ae7a307299abc027236cefdcf2fdc3ea0c619c41f","observation_id":"7515bf83-9ad3-4875-a882-c9e5ad227201","resolution":{"observed_at":"2026-05-13T23:19:46.900610Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Zero: Memory optimizations toward training trillion parameter models","venue":null,"work_id":"9f8233c0-1d1a-4555-abcb-f68d377bf7f5","year":2020},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:61d8c9b75fe9624d3c393ff23c3c45796b238e59a2c3309f89d7fe399b1dbd55","observation_id":"4575111d-1d2b-4175-bc7c-dce18b2ad845","resolution":{"observed_at":"2026-05-13T23:19:46.904952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.eacl-main.24","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Recipes for building an open-domain chatbot","venue":null,"work_id":"7bcfc739-fd24-47b5-a03f-b007015f5202","year":2021},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:94e44558130c1e7b1bcf67bf93e7f073ca346f7e7b83d56e29c32f88c967001e","observation_id":"1137a165-0c35-4603-b953-30357bb238ab","resolution":{"observed_at":"2026-05-13T23:19:46.487745Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"WINOGRANDE : An adversarial winograd schema challenge at scale","venue":null,"work_id":"c47627ee-0b0b-4a41-83fa-f08a903d2fd7","year":2019},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:0ffc8ff139aade4df891149ac3ce96b3662fa3e4c3ea1a24d65711893af62dac","observation_id":"87eb5203-e53c-4f3f-9886-80db26094feb","resolution":{"observed_at":"2026-05-13T23:19:46.916740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Domain adaption of named entity recognition to support credit risk assessment","venue":null,"work_id":"7227ae76-ae24-4993-8149-188512c3871f","year":2015},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:78118ade24e3aa5e0cca8bbf1a03c42672fd22cb193ad2202e4ca5770a34f5b9","observation_id":"3b41519c-7e89-4d36-b436-4c15fb77b8b6","resolution":{"observed_at":"2026-05-13T23:19:46.921338Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multitask prompted training enables zero-shot task generalization","venue":null,"work_id":"a70b0deb-732b-4f94-ba8e-2a9c60a55a12","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:e2f319c1264956d03f0b6ae02f46ed7831bdbc6affbf40f1058d749153793c0c","observation_id":"bebddd6a-2ed9-4ea8-8619-c95ff093ce13","resolution":{"observed_at":"2026-05-13T23:19:46.925596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05100","last_updated":"2023-06-27T09:57:58Z","snapshot_observed_at":"2026-08-04T18:56:03.233715Z","submitted_at":"2022-11-09T18:48:09Z","title":"BLOOM: A 176B-Parameter Open-Access Multilingual Language Model","version":4},"cited_work":{"arxiv_id":"2211.05100","doi":"10.48550/arxiv.2211.05100","metadata_source":"pith","pith_arxiv_id":"2211.05100","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"BLOOM: A 176B-Parameter Open-Access Multilingual Language Model","venue":"cs.CL","work_id":"337ba690-f35d-4154-9450-8edf4bc9f488","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"cited_paper":"/paper/2211.05100","citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:1d84b28c71ceb8e36668d203e8e8087f03230263371d9b8e500560fd4eb8fa1e","observation_id":"994c7cb7-29a5-4e23-b2bc-f5833310a213","resolution":{"observed_at":"2026-05-13T23:19:46.747165Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-05-25T16:25:57.975024+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T16:25:57.975024+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Japanese and korean voice search","venue":null,"work_id":"8d14b8e4-bf81-409b-b736-a91ffc63e10a","year":2012},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:6880970d940e54527e708ab009654d8ee39baad5c38b15ef7720b8feefce5aa5","observation_id":"f320f4f8-8d5d-4d20-956c-beb87996d00d","resolution":{"observed_at":"2026-05-13T23:19:46.934603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/p16-1162","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:47:45.993479Z","title":"Neural machine translation of rare words with subword units","venue":"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","work_id":"cecae0cd-eae3-455a-a47b-941cd8154173","year":2016},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:e37e38643accbdd17dc8751a0bb978e9dfd2792c687df179200fc3e8abe07ee6","observation_id":"2f5e1940-d7db-4da7-bc56-16a3da6a70f9","resolution":{"observed_at":"2026-05-13T23:19:46.458628Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-07-11T03:18:56.657693+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T03:18:56.657693+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"When FLUE meets FLANG : Benchmarks and large pretrained language model for financial domain","venue":null,"work_id":"86a56cde-419b-481e-ac8c-48fea3cd8369","year":2022},"citing_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-05-13T23:19:46.231145Z"},"links":{"citing_paper":"/paper/2303.17564"},"observation_digest":"sha256:4988a5fb0faf622e202552ceca603f6060f96f8a7d28b5e587ce524a53bb0c67","observation_id":"c058b2e0-230e-4652-ba4e-5e5cbd48e8fd","resolution":{"observed_at":"2026-05-13T23:19:46.948431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":19,"parse_uncertain":0,"unresolved":3,"verified_exact":38,"verified_fuzzy":40},"total_outbound_references":140},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 100 of 140 outbound references and 100 inbound Pith citation observations for arXiv:2303.17564."}