{"as_of":"2026-08-21T18:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:934bbb8cb41c14913bfef90cfece5f48cfc00be5103b330e2247738928fbc291","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:45:43.699598Z","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":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.18626","last_updated":"2024-06-26T14:22:46Z","snapshot_observed_at":"2026-08-21T02:40:42.993398Z","submitted_at":"2024-06-26T14:22:46Z","title":"An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery","version":1},"cited_work":{"arxiv_id":"2406.18626","doi":"10.48550/arxiv.2406.18626","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18626","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An llm-based knowl- edge synthesis and scientific reasoning framework for biomedical discovery","venue":"arXiv (Cornell University)","work_id":"e113d407-8152-4fb8-b613-f9c71994e459","year":2024},"citing_paper":{"arxiv_id":"2501.09686","last_updated":"2025-01-23T08:44:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-16T17:37:58Z","title":"Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models","version":3},"reference_index":164,"source":"pdf_text","source_observed_at":"2026-05-15T21:20:59.128986Z"},"links":{"cited_paper":"/paper/2406.18626","citing_paper":"/paper/2501.09686"},"observation_digest":"sha256:d0637a126356c54dd250d30cbe0e85ec3a5f33a04f2d607528ea58196df52576","observation_id":"25b0c4db-17b5-4689-a26d-b608c460816e","resolution":{"observed_at":"2026-05-15T21:20:59.363990Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18626","last_updated":"2024-06-26T14:22:46Z","snapshot_observed_at":"2026-08-21T02:40:42.993398Z","submitted_at":"2024-06-26T14:22:46Z","title":"An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18626","snapshot_observed_at":"2026-08-15T23:45:43.699598Z","title":"An llm-based knowledge synthesis and scientific reasoning framework for biomedical discovery","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04651","last_updated":"2025-05-06T19:22:23Z","snapshot_observed_at":"2026-08-16T04:07:57.813788Z","submitted_at":"2025-05-06T19:22:23Z","title":"Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-15T23:45:43.699598Z"},"links":{"cited_paper":"/paper/2406.18626","citing_paper":"/paper/2505.04651"},"observation_digest":"sha256:52531c1033fbfdd60f9b211add9063acd5e5f5a2d0c70b8a179acbdae1f76ae5","observation_id":"5b5ec3b5-a176-4340-970f-e533016d0923","resolution":{"observed_at":"2026-08-15T23:45:43.699598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18626","last_updated":"2024-06-26T14:22:46Z","snapshot_observed_at":"2026-08-21T02:40:42.993398Z","submitted_at":"2024-06-26T14:22:46Z","title":"An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery","version":1},"cited_work":{"arxiv_id":"2406.18626","doi":"10.48550/arxiv.2406.18626","metadata_source":"arxiv_reference","pith_arxiv_id":"2406.18626","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An llm-based knowl- edge synthesis and scientific reasoning framework for biomedical discovery","venue":"arXiv (Cornell University)","work_id":"e113d407-8152-4fb8-b613-f9c71994e459","year":2024},"citing_paper":{"arxiv_id":"2606.08723","last_updated":"2026-07-19T21:55:35Z","snapshot_observed_at":"2026-08-14T15:26:41.084333Z","submitted_at":"2026-06-07T16:38:27Z","title":"From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-06-27T17:22:30.784806Z"},"links":{"cited_paper":"/paper/2406.18626","citing_paper":"/paper/2606.08723"},"observation_digest":"sha256:95c406b927bb5a67464f74c8cf89a8f75145ca58ba2c7de1fed0e4a7161e486b","observation_id":"96269c70-d540-4899-8c1c-913d704751fd","resolution":{"observed_at":"2026-06-27T17:31:07.552319Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18626","last_updated":"2024-06-26T14:22:46Z","snapshot_observed_at":"2026-08-21T02:40:42.993398Z","submitted_at":"2024-06-26T14:22:46Z","title":"An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18626","snapshot_observed_at":"2026-08-02T12:03:29.646127Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.08723","last_updated":"2026-07-19T21:55:35Z","snapshot_observed_at":"2026-08-14T15:26:41.084333Z","submitted_at":"2026-06-07T16:38:27Z","title":"From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-02T12:03:29.646127Z"},"links":{"cited_paper":"/paper/2406.18626","citing_paper":"/paper/2606.08723"},"observation_digest":"sha256:fad7c5766844b489acefcfc7f4a821da1f86653e675a2b15fe093aa61247ce33","observation_id":"bd4ed790-cee2-4b28-b77f-37241f87ed7e","resolution":{"observed_at":"2026-08-02T12:03:29.646127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.18626/citation-record","integrity":"/paper/2406.18626/integrity","json":"/paper/2406.18626/citation-record.json","paper":"/paper/2406.18626"},"outbound":[],"paper":{"arxiv_id":"2406.18626","last_updated":"2024-06-26T14:22:46Z","latest_version":1,"primary_category":"q-bio.QM","snapshot_observed_at":"2026-08-21T02:40:42.993398Z","submitted_at":"2024-06-26T14:22:46Z","title":"An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.18626."}