{"as_of":"2026-08-19T01:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6e75e026e57b651a22396cab3ef1c0ee7638e65cc109b0153e1f0ffd7bd1e7cd","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:15:56.344368Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.16188/citation-record","integrity":"/paper/2504.16188/integrity","json":"/paper/2504.16188/citation-record.json","paper":"/paper/2504.16188"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:15:56.770820Z","title":"Label: neutral","venue":null,"work_id":"e7eccdb4-3c47-48d5-bc38-b24886e431db","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.261999Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:56558f315d22b88546a810e1b757f4f39034de09212ba503a6482170231d92e9","observation_id":"f15a16e4-e43a-4f95-b26a-1da6080db7e7","resolution":{"observed_at":"2026-08-16T11:15:56.775032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.798478Z","title":"O’Reilly Media, Inc","venue":null,"work_id":"1200b61b-e2fd-446f-be76-747df6b83f16","year":2022},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.216573Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:933ca7da82e957a2e41bdb2512091e5157bedb37d83736aa9ea7f83362a95477","observation_id":"07b589a4-4483-4633-ad6a-f8bbaed990b1","resolution":{"observed_at":"2026-08-16T11:15:56.802898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-16T11:15:56.221492Z","title":"Preprint, arXiv:2407.21783","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.221492Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:6fc54714fd0abc6e56fa0bfa3cd1a925d49abb9d6c41a224de72669ef3070400","observation_id":"a96222cf-b525-4244-84d4-67cc2fa49477","resolution":{"observed_at":"2026-08-16T11:15:56.221492Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:15:56.686093Z","title":null,"venue":null,"work_id":"ae21f6e9-f4ea-490b-a5f4-b9c3a0c8de5a","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.289303Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:0c0301e59201cb7a2fdbd12e80322bb36f27350b75fd2863b10b0e95ed9df8f7","observation_id":"6f759044-3b56-4498-8fb8-f2eec6e5fa38","resolution":{"observed_at":"2026-08-16T11:15:56.690675Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.671934Z","title":null,"venue":null,"work_id":"25f90bdc-2bc2-4382-8ed3-b161b200d9b5","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.293569Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:df33b5fcfa24627489858ebb9be7987d2346e71d38a8ee53bfe03d77545415f2","observation_id":"ebbd8052-7e2c-4558-8fd7-e0da4329c18c","resolution":{"observed_at":"2026-08-16T11:15:56.676322Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13076","last_updated":"2024-04-15T16:49:59Z","snapshot_observed_at":"2026-08-18T02:44:37.072871Z","submitted_at":"2024-04-15T16:49:59Z","title":"LLM Evaluators Recognize and Favor Their Own Generations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13076","snapshot_observed_at":"2026-08-16T11:15:56.241510Z","title":"Preprint, arXiv:2404.13076","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.241510Z"},"links":{"cited_paper":"/paper/2404.13076","citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:8b627a683ae3778cebf65a5c0e850cb5ca494de69cadd93530056945940f22af","observation_id":"b43b00fc-8381-4e91-9a17-792097c1910d","resolution":{"observed_at":"2026-08-16T11:15:56.241510Z","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":"2026-08-14T12:54:48.492396Z","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":"2026-08-16T11:15:56.251530Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.251530Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:81ccf10d217f2e42d7e35038f6d312895856301a9ff437370ebf03fdc9d61428","observation_id":"eefb65b5-b65b-45f0-aaa4-afdd1f1b1a88","resolution":{"observed_at":"2026-08-16T11:15:56.251530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.00287","last_updated":"2025-01-24T23:46:07Z","snapshot_observed_at":"2026-08-16T14:46:59.036907Z","submitted_at":"2023-11-01T04:37:28Z","title":"Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.00287","snapshot_observed_at":"2026-08-16T11:15:56.256134Z","title":"more difficult","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.256134Z"},"links":{"cited_paper":"/paper/2311.00287","citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:3709a7179c550e377e6042bfb8d895b40a39b3a54378bba05b8a8ab255fc74c0","observation_id":"2495b12b-34bf-48b3-a9c8-f67075b5a38c","resolution":{"observed_at":"2026-08-16T11:15:56.256134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:15:56.757402Z","title":"Hypothesis: The company has completed the remodeling of approximately 126 stores using the new store prototype","venue":null,"work_id":"af9a2305-60ca-47a5-8cb8-cb2573bd8995","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.266791Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:8badd6c77b3066eb04622c764f49d05d9b26f27127cd30671aa2e4ac0f72b416","observation_id":"7fcb8aed-9780-48f2-b6e7-e01c2e2febfd","resolution":{"observed_at":"2026-08-16T11:15:56.761829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.742269Z","title":"Hypothesis: We do not anticipate any losses from customers being unable to make their required payments, so no allowances for doubtful accounts are maintained","venue":null,"work_id":"44eaf203-7805-47aa-b729-30ed183e8ebf","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.271376Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:a09e51bc73a423543b291e3256983c3b9c1416a1280a3fc95d11c0817ef27fb4","observation_id":"6e4cd5b3-9975-4ac2-9c1c-50da0b93937c","resolution":{"observed_at":"2026-08-16T11:15:56.747285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.727559Z","title":null,"venue":null,"work_id":"72e7f948-9a3f-4140-9bf6-1740917b6971","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.275936Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:565bae1cbc58e51953f15d117209e373e3f87d42354acccd768c621c0659062e","observation_id":"0974cac3-9ad4-4ab6-bd66-d0f5661bd9d6","resolution":{"observed_at":"2026-08-16T11:15:56.732007Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.713667Z","title":"Consider if it adds new information, rephrases the premise, or predicts something based on the premise","venue":null,"work_id":"db5f9a12-8cb1-4a3e-a6db-afdb8f432e24","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.280304Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:b8f1094d6af314b3c2c4d74a97f35419f43dbe64834eb4f37354c04e099008cd","observation_id":"6269f89b-9b77-4fee-abe4-26e286c7982c","resolution":{"observed_at":"2026-08-16T11:15:56.718289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.700036Z","title":"Does the hypothesis logically follow from the premise, contradict it, or is it unrelated?","venue":null,"work_id":"75c12b56-0480-4c75-8fb3-b70ea4e2fd0d","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.284499Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:d04ed352de5cc5ab588d9d82892c3979b3fcea44d1c61c20de778c0c1a8ae48f","observation_id":"dbc8433b-c046-41ed-a33d-8ae4630c7cbd","resolution":{"observed_at":"2026-08-16T11:15:56.704734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.658337Z","title":"This means the relationship between the premise and the hypothesis should involve some form of mathematical deduction","venue":null,"work_id":"b0e86809-3f99-4a0b-95d1-993d2486dbc2","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.297629Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:8cd0337debd7daf55fb846aa827d5fa1e107f9453db25d175c558c6d53119be4","observation_id":"4e833221-3074-4527-ad1d-6adfd9fa4cb6","resolution":{"observed_at":"2026-08-16T11:15:56.662979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.643493Z","title":"The hypothesis should involve an inference that requires understanding dates and the relationship between different points in time","venue":null,"work_id":"a39339fc-8cbe-4809-9bcb-9c9d00cca89d","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.301655Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:235d4360c4618d6132f7adfd3e5e9e01ed5af99ab89e8f39371c509359d4c813","observation_id":"a85d44cf-cec1-4b21-8772-661678ade4fb","resolution":{"observed_at":"2026-08-16T11:15:56.648242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.629226Z","title":"Example: {examples}","venue":null,"work_id":"d4155785-6aa0-45d6-a263-ae2e16ee7e96","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.305718Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:de2671e0ceef80f3c26e7d9550aaec6efbb289ae0499544b86ec6fe87e701f85","observation_id":"c6449b3c-56be-4061-99fa-34e76a71d6b7","resolution":{"observed_at":"2026-08-16T11:15:56.633828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.615827Z","title":"likely,\"","venue":null,"work_id":"0163f2e8-e192-4f51-b765-5da52b374d5c","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.310056Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:2be67da71f22a2bb1db723aeea57bf5c16b7f4d1c619260db480b33103b47e95","observation_id":"1a022de7-3de3-47d1-8897-4275c97f8e87","resolution":{"observed_at":"2026-08-16T11:15:56.620080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.601470Z","title":"are not phrase fragments or nonsense, which would prevent us being able to assign a label to the relationship between the premise and the hypothesis","venue":null,"work_id":"d1e5a755-12fb-483f-9ff5-173685c61cc2","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.314495Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:985f6c5fe68fd3edb595cd75c047d6f7f196ba5f2ce9c11d99f4811bb58f9a02","observation_id":"78301d3b-c435-4a41-8504-076299c8cbc4","resolution":{"observed_at":"2026-08-16T11:15:56.606411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.587765Z","title":"The hypothesis follows logically from the information contained in the premise","venue":null,"work_id":"f1676c8d-285d-4049-bc9a-62d5135afef0","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.318728Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:7ce0a73a611b6a5affae1e838477efa2a6af2f72420651b54480d7f87c504a3f","observation_id":"b1457dff-f560-4316-8245-d0e2f6342ebd","resolution":{"observed_at":"2026-08-16T11:15:56.592231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.571975Z","title":"Depends on how confident an annotator is while defining the relation between premise and hypothesis","venue":null,"work_id":"653660ae-a6cb-42f9-b1d4-1451b84948b7","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.322931Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:3b81e7b6aedfcc430157aa531fd230e34994227db050a5bd8525b6731afad73c","observation_id":"4a015d89-7b9d-4787-bffb-35e4ef2b7085","resolution":{"observed_at":"2026-08-16T11:15:56.577817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.554650Z","title":"provide the rationale for the decision in free text form explaining why the instance is difficult, and/or why the confidence is low","venue":null,"work_id":"e997de63-6bd6-49f4-9c75-8c2245bc16d0","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.327135Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:b2bcf89de5d8205abdf9ad26c50656b938d36b8201c450d4538d3c501f03a716","observation_id":"4761b984-4e52-49b6-95aa-8f590e871737","resolution":{"observed_at":"2026-08-16T11:15:56.560551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.540582Z","title":"Premise: Before joining FMC Technologies, Mr","venue":null,"work_id":"017ddbf9-592d-4f8c-a1c7-4e40ca71450c","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.331473Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:49c13799be22947c6d31ba606c9fb2b4e0e9527867fa1d78c3b8e30f4a3c9277","observation_id":"25e3c50b-bf96-4e4c-b73d-fbfbaafdea97","resolution":{"observed_at":"2026-08-16T11:15:56.545002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.525365Z","title":"Premise: $700.0 $613.7 $492.1 95 Rest of World 108.6 96.0 93.9","venue":null,"work_id":"ba7fe477-2ff1-4ce4-9354-4769d149b497","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.336093Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:16cb92270391557bc54bd47d68654ca9080c96e31be5fb01fd4a18a49759aaae","observation_id":"40c3d7ac-f925-44d0-b1df-cc8e338f44c9","resolution":{"observed_at":"2026-08-16T11:15:56.530426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.509473Z","title":"Net Cruise Cost less fuel expense","venue":null,"work_id":"044b543a-b857-4ce3-bca9-298af88dcbe7","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.340201Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:3f607758d2f5d89f28ffab90ad8939d53c9a4e3d0f702f75ed1d18c51331e408","observation_id":"f2fcfcea-211b-495e-bfa3-629260a4e451","resolution":{"observed_at":"2026-08-16T11:15:56.514754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T11:15:56.491786Z","title":"For further discussion of our annual impairment test, see the Critical Accounting Policies and Estimates section","venue":null,"work_id":"16ec0022-b855-43bb-b574-a7c73cb4aa07","year":null},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.344368Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:fc5422991da24422d928aa9f07d593009db1aae356839c1c473c8fe19504bd71","observation_id":"4f09a8d0-b6e1-4c9f-b2b7-e3ef8f7269d0","resolution":{"observed_at":"2026-08-16T11:15:56.498452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.09543","last_updated":"2023-03-24T09:17:17Z","snapshot_observed_at":"2026-08-16T03:03:21.512563Z","submitted_at":"2021-11-18T06:48:00Z","title":"DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.09543","snapshot_observed_at":"2026-08-16T11:15:56.226050Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.226050Z"},"links":{"cited_paper":"/paper/2111.09543","citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:fad711417387ed3a08d55d276f6df9a7c88bb878233c2809570f4a9420f6aa32","observation_id":"2ccddcbf-7b67-4f3c-b9ae-11041a591cb5","resolution":{"observed_at":"2026-08-16T11:15:56.226050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-08-16T14:33:50.657682Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-16T11:15:56.235867Z","title":"In Proceedings of the 29th ACM International Confer- ence on Information and Knowledge Management , CIKM ’20, page 3063–3070, New York, NY , USA","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.235867Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:dc2710dfeccfb07e18de366c0567de236a861fd3498a735ba8eb604f8fb1b780","observation_id":"2a218c25-c128-4bf6-ae51-1b2600875d7b","resolution":{"observed_at":"2026-08-16T11:15:56.235867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:15:56.784723Z","title":"Transactions of the Associa- tion for Computational Linguistics, 10:1357–1374","venue":null,"work_id":"a65e0743-1908-4985-b6f8-f7d7fc72deb1","year":2023},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.231354Z"},"links":{"citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:40a6cc0257668e8d8260cf43bfb9033cdfc5a15ca08acfda91624b76de46829a","observation_id":"a08725b7-a023-40e5-b45a-39ed35c2fb9d","resolution":{"observed_at":"2026-08-16T11:15:56.789271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.01786","last_updated":"2020-12-09T02:08:38Z","snapshot_observed_at":"2026-08-16T19:01:19.283014Z","submitted_at":"2020-12-03T09:32:05Z","title":"Self-Explaining Structures Improve NLP Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.01786","snapshot_observed_at":"2026-08-16T11:15:56.246671Z","title":"Nature, 623(7987):493–498","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.246671Z"},"links":{"cited_paper":"/paper/2012.01786","citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:5c2e3188ceb4a4fc452d73db2752a8113ef80ac81c871660afbf752892b19d08","observation_id":"aa028870-9598-4aa1-b11b-6e253ac65d5f","resolution":{"observed_at":"2026-08-16T11:15:56.246671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14219","last_updated":"2024-08-30T21:17:17Z","snapshot_observed_at":"2026-08-17T03:25:04.404839Z","submitted_at":"2024-04-22T14:32:33Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14219","snapshot_observed_at":"2026-08-16T11:15:56.210885Z","title":"Preprint, arXiv:2404.14219","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-16T11:15:56.210885Z"},"links":{"cited_paper":"/paper/2404.14219","citing_paper":"/paper/2504.16188"},"observation_digest":"sha256:3d822be9a60b01923eb25b41794663bbe822aa4f8044cd32a9a4856c42758b26","observation_id":"15819f9c-f3a4-4855-873e-e2c48466d736","resolution":{"observed_at":"2026-08-16T11:15:56.210885Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.16188","last_updated":"2025-04-22T18:25:17Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T11:07:56.742026Z","submitted_at":"2025-04-22T18:25:17Z","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":30},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2504.16188."}