{"as_of":"2026-08-09T20:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:642d2a750e7d6fce59c35c50147a6e66580edcadd08405fb1bc770e683eebfe0","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:56:34.872214Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T22:17:26.433621Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.08940","last_updated":"2024-07-15T06:27:07Z","snapshot_observed_at":"2026-07-06T18:45:09.719850Z","submitted_at":"2024-07-12T02:55:13Z","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation","version":2},"cited_work":{"arxiv_id":"2407.08940","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08940","snapshot_observed_at":"2026-07-02T22:17:26.433621Z","title":"Large language models as biomedical hypothesis generators: a comprehensive evaluation","venue":null,"work_id":"035c4d9d-e22f-4151-800e-a04444b9e52a","year":2024},"citing_paper":{"arxiv_id":"2502.02871","last_updated":"2026-04-20T02:18:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-05T04:05:27Z","title":"Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning","version":2},"reference_index":154,"source":"arxiv_source","source_observed_at":"2026-05-23T04:30:38.804702Z"},"links":{"cited_paper":"/paper/2407.08940","citing_paper":"/paper/2502.02871"},"observation_digest":"sha256:2f1f3fb2c78aa6ac339fab46b77d01cbd8aab57871e5ebbeeeebc91224219926","observation_id":"56738a4d-0565-4d71-be5b-25fc0fb2aa31","resolution":{"observed_at":"2026-05-23T04:32:32.962675Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08940","last_updated":"2024-07-15T06:27:07Z","snapshot_observed_at":"2026-07-06T18:45:09.719850Z","submitted_at":"2024-07-12T02:55:13Z","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation","version":2},"cited_work":{"arxiv_id":"2407.08940","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08940","snapshot_observed_at":"2026-07-02T22:17:26.433621Z","title":"Large language models as biomedical hypothesis generators: a comprehensive evaluation","venue":null,"work_id":"035c4d9d-e22f-4151-800e-a04444b9e52a","year":2024},"citing_paper":{"arxiv_id":"2503.21460","last_updated":"2025-03-27T12:50:17Z","snapshot_observed_at":"2026-07-06T20:59:35.694800Z","submitted_at":"2025-03-27T12:50:17Z","title":"Large Language Model Agent: A Survey on Methodology, Applications and Challenges","version":1},"reference_index":272,"source":"pdf_text","source_observed_at":"2026-05-22T21:51:34.309870Z"},"links":{"cited_paper":"/paper/2407.08940","citing_paper":"/paper/2503.21460"},"observation_digest":"sha256:40241c7d18cf5e5147dace71391d0a597e196089ec2f87bcedc81c26ae7eace9","observation_id":"f64f4005-1448-4350-bc50-cfd54dc4e587","resolution":{"observed_at":"2026-05-22T21:52:10.652437Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08940","last_updated":"2024-07-15T06:27:07Z","snapshot_observed_at":"2026-07-06T18:45:09.719850Z","submitted_at":"2024-07-12T02:55:13Z","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08940","snapshot_observed_at":"2026-08-07T14:56:34.872214Z","title":"Large language models as biomedical hypothesis generators: a comprehensive evaluation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16938","last_updated":"2025-07-22T15:05:22Z","snapshot_observed_at":"2026-08-07T14:50:24.028072Z","submitted_at":"2025-05-22T17:27:43Z","title":"InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T14:56:34.872214Z"},"links":{"cited_paper":"/paper/2407.08940","citing_paper":"/paper/2505.16938"},"observation_digest":"sha256:b27b10c9cf9d6dd9c9b29d9d29f379e92d5c22aa817b182f9d5662e08cfc6eb3","observation_id":"da95410f-16f9-4d7b-8ce0-522c2c0a4db1","resolution":{"observed_at":"2026-08-07T14:56:34.872214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08940","last_updated":"2024-07-15T06:27:07Z","snapshot_observed_at":"2026-07-06T18:45:09.719850Z","submitted_at":"2024-07-12T02:55:13Z","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08940","snapshot_observed_at":"2026-08-04T20:20:36.848690Z","title":"Large language models as biomedical hypothesis generators: a comprehensive evaluation.arXiv preprint arXiv:2407.08940, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.08621","last_updated":"2025-09-10T14:17:53Z","snapshot_observed_at":"2026-08-09T06:09:37.758584Z","submitted_at":"2025-09-10T14:17:53Z","title":"AdsQA: Towards Advertisement Video Understanding","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T20:20:36.848690Z"},"links":{"cited_paper":"/paper/2407.08940","citing_paper":"/paper/2509.08621"},"observation_digest":"sha256:a9043f16677e444b95f26c019a131870e07789c6aa8e561847e9699dcc233b6e","observation_id":"f24e4c63-ab0a-4bd4-9137-58522638c6d9","resolution":{"observed_at":"2026-08-04T20:20:36.848690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08940","last_updated":"2024-07-15T06:27:07Z","snapshot_observed_at":"2026-07-06T18:45:09.719850Z","submitted_at":"2024-07-12T02:55:13Z","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation","version":2},"cited_work":{"arxiv_id":"2407.08940","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08940","snapshot_observed_at":"2026-07-02T22:17:26.433621Z","title":"Large language models as biomedical hypothesis generators: a comprehensive evaluation","venue":null,"work_id":"035c4d9d-e22f-4151-800e-a04444b9e52a","year":2024},"citing_paper":{"arxiv_id":"2604.15588","last_updated":"2026-04-16T23:46:22Z","snapshot_observed_at":"2026-08-06T09:06:40.423828Z","submitted_at":"2026-04-16T23:46:22Z","title":"\"Excuse me, may I say something...\" CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T10:46:19.917627Z"},"links":{"cited_paper":"/paper/2407.08940","citing_paper":"/paper/2604.15588"},"observation_digest":"sha256:0be80076f49315442bb6c50874169517237b596e2f286cc65e414ea4291f1785","observation_id":"00a4db6c-0118-4376-a5b4-5ade3fde3d54","resolution":{"observed_at":"2026-05-10T10:49:56.362633Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08940","last_updated":"2024-07-15T06:27:07Z","snapshot_observed_at":"2026-07-06T18:45:09.719850Z","submitted_at":"2024-07-12T02:55:13Z","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation","version":2},"cited_work":{"arxiv_id":"2407.08940","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.08940","snapshot_observed_at":"2026-07-02T22:17:26.433621Z","title":"Large language models as biomedical hypothesis generators: a comprehensive evaluation","venue":null,"work_id":"035c4d9d-e22f-4151-800e-a04444b9e52a","year":2024},"citing_paper":{"arxiv_id":"2606.08532","last_updated":"2026-07-23T07:35:48Z","snapshot_observed_at":"2026-08-06T17:36:00.143791Z","submitted_at":"2026-06-07T09:26:03Z","title":"DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T19:00:15.920341Z"},"links":{"cited_paper":"/paper/2407.08940","citing_paper":"/paper/2606.08532"},"observation_digest":"sha256:6e166b23143dfae32d8667bf29984265090eebc62be27456ea07cae9db9d89c2","observation_id":"398cc570-b024-4dbb-8da6-32dde01e0b89","resolution":{"observed_at":"2026-07-02T22:17:26.435449Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08940","last_updated":"2024-07-15T06:27:07Z","snapshot_observed_at":"2026-07-06T18:45:09.719850Z","submitted_at":"2024-07-12T02:55:13Z","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08940","snapshot_observed_at":"2026-08-02T12:08:58.490761Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.08532","last_updated":"2026-07-23T07:35:48Z","snapshot_observed_at":"2026-08-06T17:36:00.143791Z","submitted_at":"2026-06-07T09:26:03Z","title":"DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations","version":5},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T12:08:58.490761Z"},"links":{"cited_paper":"/paper/2407.08940","citing_paper":"/paper/2606.08532"},"observation_digest":"sha256:e32732c37e03b8561490f1edb3335db03fe8534eabc24d836ccee978a5cb2614","observation_id":"356ec68d-361a-4f5e-8335-d49bb265a40d","resolution":{"observed_at":"2026-08-02T12:08:58.490761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08940","last_updated":"2024-07-15T06:27:07Z","snapshot_observed_at":"2026-07-06T18:45:09.719850Z","submitted_at":"2024-07-12T02:55:13Z","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08940","snapshot_observed_at":"2026-08-01T15:05:27.915007Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18564","last_updated":"2026-07-22T15:35:34Z","snapshot_observed_at":"2026-08-08T06:18:16.813914Z","submitted_at":"2026-07-20T22:54:42Z","title":"HALO: Interactive Co-abductive Reasoning in Scientific Hypothesis Generation","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-01T15:05:27.915007Z"},"links":{"cited_paper":"/paper/2407.08940","citing_paper":"/paper/2607.18564"},"observation_digest":"sha256:a33b4cbb4d9c3964eb93313649b929f2f56fedd39c2ade5f0280a255247eacdb","observation_id":"f14eb6a0-4699-48ca-8abb-c3626feecbad","resolution":{"observed_at":"2026-08-01T15:05:27.915007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08940","last_updated":"2024-07-15T06:27:07Z","snapshot_observed_at":"2026-07-06T18:45:09.719850Z","submitted_at":"2024-07-12T02:55:13Z","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.08940","snapshot_observed_at":"2026-07-30T11:26:43.492252Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23821","last_updated":"2026-07-26T19:59:48Z","snapshot_observed_at":"2026-08-07T01:28:29.196965Z","submitted_at":"2026-07-26T19:59:48Z","title":"SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-30T11:26:43.492252Z"},"links":{"cited_paper":"/paper/2407.08940","citing_paper":"/paper/2607.23821"},"observation_digest":"sha256:2087903ef6614ba13adb7bc22e9b7cdeed5f2336fc57bbed0a966adb9fae570e","observation_id":"d57ca684-3a58-446d-b5fe-16b13d595ece","resolution":{"observed_at":"2026-07-30T11:26:43.492252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.08940/citation-record","integrity":"/paper/2407.08940/integrity","json":"/paper/2407.08940/citation-record.json","paper":"/paper/2407.08940"},"outbound":[],"paper":{"arxiv_id":"2407.08940","last_updated":"2024-07-15T06:27:07Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T18:45:09.719850Z","submitted_at":"2024-07-12T02:55:13Z","title":"Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.08940."}