{"as_of":"2026-08-19T18:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b60864f8d7f3efc99b3eff895d53127fe9531632a087e8c3c1133cd43b3c6ea1","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:08:15.495511Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T14:57:05.871509Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.00465","last_updated":"2024-05-03T01:12:08Z","snapshot_observed_at":"2026-08-16T13:56:19.106649Z","submitted_at":"2024-05-01T12:01:39Z","title":"BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00465","snapshot_observed_at":"2026-08-11T23:08:15.495511Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02830","last_updated":"2025-06-02T17:40:21Z","snapshot_observed_at":"2026-08-15T19:21:48.309859Z","submitted_at":"2024-12-03T20:52:35Z","title":"RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models","version":4},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T23:08:15.495511Z"},"links":{"cited_paper":"/paper/2405.00465","citing_paper":"/paper/2412.02830"},"observation_digest":"sha256:e4b1b135e89c1d82c688cd666d9fd602fd58dcb35bbf8825b16b6cf797351d8c","observation_id":"4fd5a961-1ebe-493a-9921-95ccf546feb3","resolution":{"observed_at":"2026-08-11T23:08:15.495511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00465","last_updated":"2024-05-03T01:12:08Z","snapshot_observed_at":"2026-08-16T13:56:19.106649Z","submitted_at":"2024-05-01T12:01:39Z","title":"BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00465","snapshot_observed_at":"2026-08-10T21:18:37.542882Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05249","last_updated":"2025-01-09T14:01:15Z","snapshot_observed_at":"2026-08-13T17:50:26.804732Z","submitted_at":"2025-01-09T14:01:15Z","title":"RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T21:18:37.542882Z"},"links":{"cited_paper":"/paper/2405.00465","citing_paper":"/paper/2501.05249"},"observation_digest":"sha256:5806791ea974a28aaddda3eb8a9e579c27b34ad8499a2cf85eea05966b646512","observation_id":"faf993d2-9ff1-4ad7-86b7-b8dd0efe2462","resolution":{"observed_at":"2026-08-10T21:18:37.542882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00465","last_updated":"2024-05-03T01:12:08Z","snapshot_observed_at":"2026-08-16T13:56:19.106649Z","submitted_at":"2024-05-01T12:01:39Z","title":"BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine","version":3},"cited_work":{"arxiv_id":"2405.00465","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.00465","snapshot_observed_at":"2026-08-10T14:57:05.871509Z","title":"BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine","venue":"cs.CL","work_id":"1d2948b2-ba3d-4bb2-b7ce-d7db4a76c727","year":2024},"citing_paper":{"arxiv_id":"2501.16382","last_updated":"2025-01-24T18:16:53Z","snapshot_observed_at":"2026-08-15T11:12:35.069942Z","submitted_at":"2025-01-24T18:16:53Z","title":"GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T14:57:05.733208Z"},"links":{"cited_paper":"/paper/2405.00465","citing_paper":"/paper/2501.16382"},"observation_digest":"sha256:4f0767a79f93ae80814a811de937bf7cd1218a1dc6845b034b5b2d5aee5a0116","observation_id":"86895136-e4b5-40e0-8aef-1cb1472f5986","resolution":{"observed_at":"2026-08-10T14:57:05.875362Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.00465/citation-record","integrity":"/paper/2405.00465/integrity","json":"/paper/2405.00465/citation-record.json","paper":"/paper/2405.00465"},"outbound":[],"paper":{"arxiv_id":"2405.00465","last_updated":"2024-05-03T01:12:08Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T13:56:19.106649Z","submitted_at":"2024-05-01T12:01:39Z","title":"BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.00465."}