{"as_of":"2026-08-07T21:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2c7c3bf6e8a489f617443ce43f9422d49013c8f6c5c96bd96b3ecf99e1b22457","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T01:06:44.840249Z","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":"2026-05-21T05:53:59.411910Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.00746","last_updated":"2025-05-22T20:18:12Z","snapshot_observed_at":"2026-08-01T00:52:27.265551Z","submitted_at":"2024-02-01T16:40:32Z","title":"Health-LLM: Personalized Retrieval-Augmented Disease Prediction System","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00746","snapshot_observed_at":"2026-08-07T01:06:44.840249Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13805","last_updated":"2025-06-13T17:12:47Z","snapshot_observed_at":"2026-08-07T00:57:35.672789Z","submitted_at":"2025-06-13T17:12:47Z","title":"Dr. GPT Will See You Now, but Should It? Exploring the Benefits and Harms of Large Language Models in Medical Diagnosis using Crowdsourced Clinical Cases","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T01:06:44.840249Z"},"links":{"cited_paper":"/paper/2402.00746","citing_paper":"/paper/2506.13805"},"observation_digest":"sha256:4a20ed3451cfbeb69d1e04986d78f9e72bf8dd949b8ee12587bbcd81a571393c","observation_id":"f496c516-de69-4ccb-b704-de84574959c4","resolution":{"observed_at":"2026-08-07T01:06:44.840249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00746","last_updated":"2025-05-22T20:18:12Z","snapshot_observed_at":"2026-08-01T00:52:27.265551Z","submitted_at":"2024-02-01T16:40:32Z","title":"Health-LLM: Personalized Retrieval-Augmented Disease Prediction System","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00746","snapshot_observed_at":"2026-08-05T22:15:09.760293Z","title":"Health-llm: Personalized retrieval-augmented disease prediction system.arXiv preprint arXiv:2402.00746, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.07308","last_updated":"2025-08-10T11:45:34Z","snapshot_observed_at":"2026-08-07T20:32:03.488532Z","submitted_at":"2025-08-10T11:45:34Z","title":"HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T22:15:09.760293Z"},"links":{"cited_paper":"/paper/2402.00746","citing_paper":"/paper/2508.07308"},"observation_digest":"sha256:a92e6f395f4a18ba35b0e921b5b1f676b6e3edf63df6498a6118f22f81b1184f","observation_id":"a61af990-ee50-4efc-a8dc-3021f7dbfcd3","resolution":{"observed_at":"2026-08-05T22:15:09.760293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00746","last_updated":"2025-05-22T20:18:12Z","snapshot_observed_at":"2026-08-01T00:52:27.265551Z","submitted_at":"2024-02-01T16:40:32Z","title":"Health-LLM: Personalized Retrieval-Augmented Disease Prediction System","version":9},"cited_work":{"arxiv_id":"2402.00746","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.00746","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Health-llm: Personalized retrieval- augmented disease prediction system","venue":null,"work_id":"a1574c9e-1b0d-4c97-bc8b-d2e75edb8fe9","year":2025},"citing_paper":{"arxiv_id":"2604.10455","last_updated":"2026-04-12T04:35:14Z","snapshot_observed_at":"2026-07-06T22:59:05.519456Z","submitted_at":"2026-04-12T04:35:14Z","title":"EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T16:04:15.995849Z"},"links":{"cited_paper":"/paper/2402.00746","citing_paper":"/paper/2604.10455"},"observation_digest":"sha256:5b5886280f8de1a94255807f6a02b8f5bebe38978a2e9a6b47f58f35dca885f0","observation_id":"e02d58a5-50d7-477b-a91b-51a6b88a77c0","resolution":{"observed_at":"2026-05-11T09:21:02.001796Z","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":"2402.00746","last_updated":"2025-05-22T20:18:12Z","snapshot_observed_at":"2026-08-01T00:52:27.265551Z","submitted_at":"2024-02-01T16:40:32Z","title":"Health-LLM: Personalized Retrieval-Augmented Disease Prediction System","version":9},"cited_work":{"arxiv_id":"2402.00746","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.00746","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Health-llm: Personalized retrieval- augmented disease prediction system","venue":null,"work_id":"a1574c9e-1b0d-4c97-bc8b-d2e75edb8fe9","year":2025},"citing_paper":{"arxiv_id":"2605.20591","last_updated":"2026-05-20T00:57:59Z","snapshot_observed_at":"2026-07-06T23:31:08.671011Z","submitted_at":"2026-05-20T00:57:59Z","title":"Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-21T05:49:55.738870Z"},"links":{"cited_paper":"/paper/2402.00746","citing_paper":"/paper/2605.20591"},"observation_digest":"sha256:c9f0b78586467be482e96c5b23904602970937104b7bf6b2eff93211b141de66","observation_id":"b4163eb7-bc13-470b-94a0-02ea145af745","resolution":{"observed_at":"2026-05-21T05:53:59.413458Z","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":"2402.00746","last_updated":"2025-05-22T20:18:12Z","snapshot_observed_at":"2026-08-01T00:52:27.265551Z","submitted_at":"2024-02-01T16:40:32Z","title":"Health-LLM: Personalized Retrieval-Augmented Disease Prediction System","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00746","snapshot_observed_at":"2026-08-01T17:49:08.996943Z","title":"Health-llm: Personalized retrieval-augmented disease prediction system.arXiv preprint arXiv:2402.00746, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17508","last_updated":"2026-07-31T21:38:34Z","snapshot_observed_at":"2026-08-06T23:11:25.099684Z","submitted_at":"2026-07-20T03:31:36Z","title":"Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T17:49:08.996943Z"},"links":{"cited_paper":"/paper/2402.00746","citing_paper":"/paper/2607.17508"},"observation_digest":"sha256:451cadf52aa0a6e750de9ae996ce760a7da0449387af9eb356937d0f85f1990a","observation_id":"ae8e0d63-ee0e-43bc-8e30-ad03c19ed358","resolution":{"observed_at":"2026-08-01T17:49:08.996943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.00746","last_updated":"2025-05-22T20:18:12Z","snapshot_observed_at":"2026-08-01T00:52:27.265551Z","submitted_at":"2024-02-01T16:40:32Z","title":"Health-LLM: Personalized Retrieval-Augmented Disease Prediction System","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.00746","snapshot_observed_at":"2026-08-04T01:41:59.015368Z","title":"Health-llm: Personalized retrieval-augmented disease prediction system.arXiv preprint arXiv:2402.00746, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17508","last_updated":"2026-07-31T21:38:34Z","snapshot_observed_at":"2026-08-06T23:11:25.099684Z","submitted_at":"2026-07-20T03:31:36Z","title":"Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T01:41:59.015368Z"},"links":{"cited_paper":"/paper/2402.00746","citing_paper":"/paper/2607.17508"},"observation_digest":"sha256:62a860637bed20e5270c8f87b84ac340842a153dd3fe70accecd040ee4ed5ba8","observation_id":"07bca59d-dd06-49c8-96b3-14df5c8ec33a","resolution":{"observed_at":"2026-08-04T01:41:59.015368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.00746/citation-record","integrity":"/paper/2402.00746/integrity","json":"/paper/2402.00746/citation-record.json","paper":"/paper/2402.00746"},"outbound":[],"paper":{"arxiv_id":"2402.00746","last_updated":"2025-05-22T20:18:12Z","latest_version":9,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-01T00:52:27.265551Z","submitted_at":"2024-02-01T16:40:32Z","title":"Health-LLM: Personalized Retrieval-Augmented Disease Prediction System"},"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 6 inbound Pith citation observations for arXiv:2402.00746."}