{"as_of":"2026-08-07T15:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8783be769fb5ebc655eaaf33fc41eb1e7c31d9f8a636a571add4cb2a89ef61d2","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":31,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:10:34.896207Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2512.13168","last_updated":"2026-04-15T17:46:00Z","snapshot_observed_at":"2026-07-31T12:41:54.136440Z","submitted_at":"2025-12-15T10:28:45Z","title":"Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T22:43:48.618334Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2512.13168"},"observation_digest":"sha256:421c96f231d349a1ee3781e3cb241adca48b49e34a03b3e3f44ea220a4cccf4f","observation_id":"e3fb759d-a9ee-40c1-b8d5-49ca76f4aaf5","resolution":{"observed_at":"2026-05-16T22:48:38.318919Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-04T05:54:53.348743Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08262","last_updated":"2026-08-01T16:26:47Z","snapshot_observed_at":"2026-08-06T23:45:46.344090Z","submitted_at":"2026-03-09T11:33:05Z","title":"FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T05:54:53.348743Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2603.08262"},"observation_digest":"sha256:7b739642d7038fc42aacc9ec2b84b6030ccc2fbd7c53c2c029e81888a590de4b","observation_id":"9884bc28-e204-49d0-b0b1-909bc64e538c","resolution":{"observed_at":"2026-08-04T05:54:53.348743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2604.11304","last_updated":"2026-04-13T11:02:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-13T11:02:32Z","title":"BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T15:55:49.453068Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2604.11304"},"observation_digest":"sha256:aa3af56c640f7eb60f925c49fe0f891ec50559a9c1d81a0cdef09cf24bc7d275","observation_id":"6284342d-4f24-46de-b654-f13aa26fe2ae","resolution":{"observed_at":"2026-05-11T09:36:03.144299Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2604.17305","last_updated":"2026-04-19T07:42:07Z","snapshot_observed_at":"2026-08-03T00:49:45.756423Z","submitted_at":"2026-04-19T07:42:07Z","title":"BizCompass: Benchmarking the Reasoning Capabilities of LLMs in Business Knowledge and Applications","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T05:52:40.026883Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2604.17305"},"observation_digest":"sha256:fd534dd9136f293722847cc23f41106f51b267fb11f247a1035b4027eaa45c1e","observation_id":"e171615f-3b16-499a-baad-b554af3ff0d7","resolution":{"observed_at":"2026-05-10T05:56:11.236886Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2604.22820","last_updated":"2026-04-17T15:31:20Z","snapshot_observed_at":"2026-07-06T23:09:10.050398Z","submitted_at":"2026-04-17T15:31:20Z","title":"Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Multi-Agent Workflows","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T07:05:43.392997Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2604.22820"},"observation_digest":"sha256:acf8c652837782d28b68d3283dc4f1434d618d09901ccd62d28c27df32d28082","observation_id":"999dfa21-90aa-4b40-b381-cefcf3845150","resolution":{"observed_at":"2026-05-10T07:06:52.862114Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2604.24668","last_updated":"2026-06-09T15:03:07Z","snapshot_observed_at":"2026-07-06T23:10:38.548416Z","submitted_at":"2026-04-27T16:27:10Z","title":"The Price of Agreement: Measuring LLM Sycophancy in Agentic Financial Applications","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T03:22:45.216764Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2604.24668"},"observation_digest":"sha256:f2afc3a83e5a4f3a2b9d87eb30537b7c894f9b3bfffc2bb73e2d5578b7f3c30d","observation_id":"b7e87a0c-cc3c-436e-987f-328675b5df4f","resolution":{"observed_at":"2026-05-11T22:06:25.659426Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2604.26235","last_updated":"2026-04-29T02:32:14Z","snapshot_observed_at":"2026-08-02T11:16:41.718755Z","submitted_at":"2026-04-29T02:32:14Z","title":"LATTICE: Evaluating Decision Support Utility of Crypto Agents","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-07T13:30:46.523784Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2604.26235"},"observation_digest":"sha256:b4e00da4bfd9644edd6a1a58bf42b55e534ee814425af2e77f590127d5b3fbff","observation_id":"96a8db9d-9314-4862-88a8-186b0d4afc79","resolution":{"observed_at":"2026-05-12T08:56:25.160988Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2605.09539","last_updated":"2026-05-10T13:52:00Z","snapshot_observed_at":"2026-08-06T17:57:07.648045Z","submitted_at":"2026-05-10T13:52:00Z","title":"TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-05-12T04:53:54.754878Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2605.09539"},"observation_digest":"sha256:4367e28535db7bfa958e0643d08af73046c6434d10cc50a5422c7f630d763d87","observation_id":"66724bfa-d850-4f92-9cef-f5d02839c0d4","resolution":{"observed_at":"2026-05-12T05:51:24.466508Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2605.14355","last_updated":"2026-05-14T04:30:49Z","snapshot_observed_at":"2026-08-03T03:55:27.049390Z","submitted_at":"2026-05-14T04:30:49Z","title":"Herculean: An Agentic Benchmark for Financial Intelligence","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-30T21:06:46.156943Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2605.14355"},"observation_digest":"sha256:392514a4f35a4fac9c4962cb7ff00919ed63684658bb76dbe602baaec98f563a","observation_id":"e65918f3-0ecb-430b-b823-d9ebea59eb22","resolution":{"observed_at":"2026-06-30T21:15:04.687390Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2605.27466","last_updated":"2026-05-26T08:10:52Z","snapshot_observed_at":"2026-08-07T04:29:44.927652Z","submitted_at":"2026-05-26T08:10:52Z","title":"AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-01T16:08:56.103382Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2605.27466"},"observation_digest":"sha256:c9fe881eda87cc17c5b89270866dbb849e1fcf9c868b608eb21b51e51903c76b","observation_id":"6ceb1d54-aa04-4b95-b713-35fb9571c04a","resolution":{"observed_at":"2026-07-01T16:15:49.116976Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.00939","last_updated":"2026-05-31T00:53:05Z","snapshot_observed_at":"2026-07-06T23:41:34.459700Z","submitted_at":"2026-05-31T00:53:05Z","title":"FinCom: A Financial Multi-Agent Demo with Disagree-or-Commit Deliberation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-28T16:36:33.579549Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.00939"},"observation_digest":"sha256:643838dd2dfe5e5bad79de72e23e73cd058d7d1f1da78dcc251f406157512151","observation_id":"45097e83-8b06-49ae-82ef-ab6f1d3c7248","resolution":{"observed_at":"2026-07-01T21:36:15.568412Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.01886","last_updated":"2026-06-01T08:31:35Z","snapshot_observed_at":"2026-08-05T19:42:50.870602Z","submitted_at":"2026-06-01T08:31:35Z","title":"Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-28T14:57:00.865047Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.01886"},"observation_digest":"sha256:649bae57e2d611deadaa7a94019e068e78bc53fc1832ba9d4d7977c006423093","observation_id":"ff2b5e76-4b6d-4462-a8f4-53e185784f01","resolution":{"observed_at":"2026-07-01T22:56:19.783133Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.02859","last_updated":"2026-06-01T20:21:09Z","snapshot_observed_at":"2026-07-29T22:03:03.516670Z","submitted_at":"2026-06-01T20:21:09Z","title":"Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-28T14:26:50.444070Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.02859"},"observation_digest":"sha256:9a2ccd087acc2adaef3053e8887614900a377d83afa523180a1057dd72b361cf","observation_id":"431cc5cb-40b3-4d56-bbb2-8c087d4fe592","resolution":{"observed_at":"2026-07-01T23:26:21.796442Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.03829","last_updated":"2026-06-02T16:12:34Z","snapshot_observed_at":"2026-08-06T15:50:02.772309Z","submitted_at":"2026-06-02T16:12:34Z","title":"BigFinanceBench: A Workflow-Grounded Benchmark for Financial-Research Agents","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-28T09:35:28.694416Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.03829"},"observation_digest":"sha256:d70fe62aef97783d1cb5da10b191edccb908bfe33b683bcb6cd3707016d7b087","observation_id":"d787c9c0-45ef-42d1-887b-6eae9a6afb40","resolution":{"observed_at":"2026-07-02T03:56:34.697572Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.05661","last_updated":"2026-06-04T03:43:28Z","snapshot_observed_at":"2026-07-06T23:45:37.713710Z","submitted_at":"2026-06-04T03:43:28Z","title":"Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T01:45:28.693098Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.05661"},"observation_digest":"sha256:2edd5afc77c7fb04b95ecf34468e06a599dbb207974e1f4811c78044b956dd14","observation_id":"79b3bbbc-9048-441d-b92a-6d3c79891d38","resolution":{"observed_at":"2026-07-02T12:56:56.868237Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.11166","last_updated":"2026-06-09T17:46:10Z","snapshot_observed_at":"2026-07-06T23:50:16.299969Z","submitted_at":"2026-06-09T17:46:10Z","title":"Flaws in the LLM Automation Narrative","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-27T10:52:36.252919Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.11166"},"observation_digest":"sha256:79dc3a20c0c91b90990d51eddb63f5a8d24d4b91d71ea606a07e904e14cd0a61","observation_id":"83ed772e-a5ac-4a60-9eb7-446dda01e3ab","resolution":{"observed_at":"2026-07-03T08:17:45.296220Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.12191","last_updated":"2026-06-10T15:15:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-10T15:15:01Z","title":"Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application","version":1},"reference_index":161,"source":"pdf_text","source_observed_at":"2026-06-27T09:46:30.702256Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.12191"},"observation_digest":"sha256:4fe03e697fdb1aba6979e88dcc925290f9184d223be918356950d7da30b484e4","observation_id":"27832513-4dfe-43ab-8c5e-5bcde2e0dead","resolution":{"observed_at":"2026-06-27T09:50:48.360204Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.13608","last_updated":"2026-06-11T17:23:54Z","snapshot_observed_at":"2026-08-07T11:12:52.411120Z","submitted_at":"2026-06-11T17:23:54Z","title":"AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T06:41:41.799596Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.13608"},"observation_digest":"sha256:a8e5e09bf421c9fee5a5478abe6dac955812fdaef9c09f3a97f08218b29fe84d","observation_id":"21d6a224-e484-4044-bf87-3486d8f51bb1","resolution":{"observed_at":"2026-07-03T15:08:33.127177Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.22719","last_updated":"2026-06-21T23:36:04Z","snapshot_observed_at":"2026-08-07T07:04:23.485979Z","submitted_at":"2026-06-21T23:36:04Z","title":"Leakage-Aware Benchmarking of LLM Forecasting: Real-Time Nowcasts as the Decision-Time Input for Macro Factor Ranking","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-06-26T09:14:31.166883Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.22719"},"observation_digest":"sha256:bd56d1a2253f01171ecd463849b2c130dada34a4f7b5bbe2fa18da1eed9f1547","observation_id":"44df256c-fa33-45eb-9c09-2057f1d2f58c","resolution":{"observed_at":"2026-07-04T09:59:45.685029Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.23032","last_updated":"2026-06-30T10:07:05Z","snapshot_observed_at":"2026-08-06T04:55:43.930167Z","submitted_at":"2026-06-22T08:42:19Z","title":"IPO Finance Agent: Benchmark of LLM Financial Analysts Beyond Finance Agent v2, with Automated Rubric Generation, on the SpaceX (SPCX) IPO","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T08:51:42.837201Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.23032"},"observation_digest":"sha256:f83c5133338b37f108f699f83df75898df4fb2e2bf1c322134849c3438fda00a","observation_id":"2d8e58db-f1c9-4ab0-9afc-aff113de5772","resolution":{"observed_at":"2026-07-04T10:29:44.669903Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.23032","last_updated":"2026-06-30T10:07:05Z","snapshot_observed_at":"2026-08-06T04:55:43.930167Z","submitted_at":"2026-06-22T08:42:19Z","title":"IPO Finance Agent: Benchmark of LLM Financial Analysts Beyond Finance Agent v2, with Automated Rubric Generation, on the SpaceX (SPCX) IPO","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-01T06:49:27.958422Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.23032"},"observation_digest":"sha256:ec2f58e4c73df7c32143c06dea221b6056ef99f071c3487982d54d20bd53249e","observation_id":"2ed051a4-e875-47b9-b186-5aafe2fc6ebf","resolution":{"observed_at":"2026-07-01T08:55:35.925456Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":"2508.00828","doi":"10.48550/arxiv.2508.00828","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks","venue":"ArXiv.org","work_id":"7b3f7b73-fcec-452b-a615-268a46e2938f","year":2025},"citing_paper":{"arxiv_id":"2606.26346","last_updated":"2026-06-24T19:38:21Z","snapshot_observed_at":"2026-08-01T10:31:00.655586Z","submitted_at":"2026-06-24T19:38:21Z","title":"How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks?","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T01:34:10.103638Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2606.26346"},"observation_digest":"sha256:926609739ed209bb841e566f8162869247c40e42ece74401934d2c65cc61812a","observation_id":"d041e6c9-afbe-4480-93b2-cd9adaf93e0c","resolution":{"observed_at":"2026-07-04T15:29:56.712681Z","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":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-01T23:29:50.743589Z","title":"Finance agent benchmark: A human-in-the-loop evaluation harness for LLM agents in the finance domain,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15414","last_updated":"2026-07-16T19:38:23Z","snapshot_observed_at":"2026-08-01T23:29:45.883897Z","submitted_at":"2026-07-16T19:38:23Z","title":"AI Trading: Evaluating Large Language Models for Technical Market Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T23:29:50.743589Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2607.15414"},"observation_digest":"sha256:8b9c4f720cd41efe4604c0dc1f026387d786a2736c35275d39de276be2eadd9c","observation_id":"fdf62176-6edf-42ed-872f-5b928de1a3a2","resolution":{"observed_at":"2026-08-01T23:29:50.743589Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-02T07:28:28.105727Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks.arXiv preprint arXiv:2508.00828,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19409","last_updated":"2026-07-11T01:16:31Z","snapshot_observed_at":"2026-08-06T17:51:35.890942Z","submitted_at":"2026-07-11T01:16:31Z","title":"FORCE-Bench: A Benchmark, Dataset, and Evaluation Harness for Agentic AI in Enterprise Finance","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T07:28:28.105727Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2607.19409"},"observation_digest":"sha256:3dd32ceb3a06e9fc291dee2a5a92811cd5ac72042a0e4db60ad01478bf61a9f7","observation_id":"61116e77-9e8f-44a3-84c3-56f372496f87","resolution":{"observed_at":"2026-08-02T07:28:28.105727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-01T09:47:15.283030Z","title":"Finance agent benchmark: Benchmarking LLMs on real-world financial research tasks.arXiv preprint arXiv:2508.00828, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.20645","last_updated":"2026-07-22T18:15:12Z","snapshot_observed_at":"2026-08-07T15:32:31.268553Z","submitted_at":"2026-07-22T18:15:12Z","title":"Frontier Financial Judgement: Can agents tell what might move a stock?","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T09:47:15.283030Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2607.20645"},"observation_digest":"sha256:41143f46e95e78a960ea694b52bc769c179e75433682c9c2bf94d913d0f0858b","observation_id":"77ef7915-b7a4-4dfe-92d0-0931651c2cb0","resolution":{"observed_at":"2026-08-01T09:47:15.283030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-01T01:16:42.610725Z","title":"arXiv preprint arXiv:2508.00828 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.25891","last_updated":"2026-07-28T15:50:19Z","snapshot_observed_at":"2026-08-06T22:52:32.781663Z","submitted_at":"2026-07-28T15:50:19Z","title":"Messier: A High-Resolution Corpus for Cross-Benchmark Agent Evaluation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-01T01:16:42.610725Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2607.25891"},"observation_digest":"sha256:aa183377ddb198b589d29b94851a8da16ff7dcc1f375165e2db2f7f19176a237","observation_id":"7b9074c3-e3ab-4c76-a185-367336ed36bb","resolution":{"observed_at":"2026-08-01T01:16:42.610725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-07-31T07:38:10.220810Z","title":"arXiv:2508.00828","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28430","last_updated":"2026-07-30T16:07:32Z","snapshot_observed_at":"2026-08-06T21:05:53.103649Z","submitted_at":"2026-07-30T16:07:32Z","title":"AgentRadio: Passive Awareness for Long-Horizon Multi-Agent Collaboration","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-07-31T07:38:10.220810Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2607.28430"},"observation_digest":"sha256:ab75ad323a59d8c441e8b6c6d596dc46d17c8e02e25871eaf229a532272ae6ec","observation_id":"f449c170-048b-4f46-b548-ab29ec9b13d4","resolution":{"observed_at":"2026-07-31T07:38:10.220810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-03T00:48:02.213824Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28661","last_updated":"2026-07-22T06:53:07Z","snapshot_observed_at":"2026-08-07T12:35:05.135020Z","submitted_at":"2026-07-22T06:53:07Z","title":"Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon Statements","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-03T00:48:02.213824Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2607.28661"},"observation_digest":"sha256:4a77974d8c2132c0c8522f8fcf7ad9426c608375cb34374e287b447ec5e415a9","observation_id":"0b3933cf-56e0-441f-b9ee-af1d8ca75f4c","resolution":{"observed_at":"2026-08-03T00:48:02.213824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-04T01:12:38.779498Z","title":"Finance agent benchmark: Benchmarking llms on real-world financial research tasks.arXiv preprint arXiv:2508.00828, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00155","last_updated":"2026-07-31T17:50:08Z","snapshot_observed_at":"2026-08-07T15:14:26.557410Z","submitted_at":"2026-07-31T17:50:08Z","title":"AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-04T01:12:38.779498Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2608.00155"},"observation_digest":"sha256:1736e8b832933d4dc8fdaf1d032e4792381ba0c49c05fd95bb94be15aa147ae2","observation_id":"9f015896-0a35-463c-a30a-23394db146bc","resolution":{"observed_at":"2026-08-04T01:12:38.779498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-05T00:22:58.807578Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00764","last_updated":"2026-08-01T16:54:41Z","snapshot_observed_at":"2026-08-06T23:19:45.300438Z","submitted_at":"2026-08-01T16:54:41Z","title":"FinDeepIndicator: Benchmarking Deep Research Agents in End-to-End Financial Indicator Construction","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T00:22:58.807578Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2608.00764"},"observation_digest":"sha256:f30c6746dd6a8afa54e56656c5ab1b02d6c9753fcac5de232a2f9fb3a4b0b1e1","observation_id":"19039dca-eb3f-4fa2-ae44-178c439954cd","resolution":{"observed_at":"2026-08-05T00:22:58.807578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.00828","snapshot_observed_at":"2026-08-07T14:10:34.896207Z","title":"Cai,Y.;Hao,Y.;Zhou,J.;etal.2025.BuildingSelf-Evolving AgentsviaExperience-DrivenLifelongLearning:AFrame- work and Benchmark.arXiv preprint arXiv:2508.19005","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.06144","last_updated":"2026-08-06T15:14:54Z","snapshot_observed_at":"2026-08-07T15:34:47.395003Z","submitted_at":"2026-08-06T15:14:54Z","title":"FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T14:10:34.896207Z"},"links":{"cited_paper":"/paper/2508.00828","citing_paper":"/paper/2608.06144"},"observation_digest":"sha256:3a984d1e60b56655f971a21bd0c7997c4f363cc8fb0d5e71a8c25d63f13bed5b","observation_id":"dedac14f-73ee-4d02-9215-20738780a71a","resolution":{"observed_at":"2026-08-07T14:10:34.896207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.00828/citation-record","integrity":"/paper/2508.00828/integrity","json":"/paper/2508.00828/citation-record.json","paper":"/paper/2508.00828"},"outbound":[],"paper":{"arxiv_id":"2508.00828","last_updated":"2025-05-20T18:22:10Z","latest_version":1,"primary_category":"cs.CE","snapshot_observed_at":"2026-08-07T15:30:31.121575Z","submitted_at":"2025-05-20T18:22:10Z","title":"Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2508.00828."}