{"as_of":"2026-08-15T08:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c40f1c028890f98969a15d8c241cf0eb4670c87c7b71bc2592de17059e2d36df","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":"2026-08-15T06:32:42.880941+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":"2026-08-11T17:28:07.929897Z","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":"2026-05-18T11:17:08.289212Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.06025","last_updated":"2024-07-15T23:57:00Z","snapshot_observed_at":"2026-08-13T05:28:29.911514Z","submitted_at":"2023-11-10T12:25:32Z","title":"ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences","version":3},"cited_work":{"arxiv_id":"2311.06025","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.06025","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences","venue":null,"work_id":"a7fc5ad6-da6f-4d77-89f8-1d498a74830f","year":2023},"citing_paper":{"arxiv_id":"2401.05561","last_updated":"2024-09-30T10:17:12Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-10T22:07:21Z","title":"TrustLLM: Trustworthiness in Large Language Models","version":6},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-18T11:17:08.108565Z"},"links":{"cited_paper":"/paper/2311.06025","citing_paper":"/paper/2401.05561"},"observation_digest":"sha256:f4c44362c66030a2ab590ef5b3ea767347436ea948a61bec29ac32b87dbdccff","observation_id":"3f7610a3-606e-4da1-a98f-aa739951b492","resolution":{"observed_at":"2026-05-18T11:17:08.295160Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06025","last_updated":"2024-07-15T23:57:00Z","snapshot_observed_at":"2026-08-13T05:28:29.911514Z","submitted_at":"2023-11-10T12:25:32Z","title":"ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences","version":3},"cited_work":{"arxiv_id":"2311.06025","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.06025","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences","venue":null,"work_id":"a7fc5ad6-da6f-4d77-89f8-1d498a74830f","year":2023},"citing_paper":{"arxiv_id":"2402.13116","last_updated":"2024-10-21T16:22:33Z","snapshot_observed_at":"2026-08-10T17:26:33.432994Z","submitted_at":"2024-02-20T16:17:37Z","title":"A Survey on Knowledge Distillation of Large Language Models","version":4},"reference_index":234,"source":"arxiv_source","source_observed_at":"2026-05-17T23:31:11.213552Z"},"links":{"cited_paper":"/paper/2311.06025","citing_paper":"/paper/2402.13116"},"observation_digest":"sha256:9d10e49519989d72d807b9eea3e4a5883bdd1c2f22ced8dc538fd438e54aec91","observation_id":"831e9d55-a785-4ca9-978a-99fb00bffa3c","resolution":{"observed_at":"2026-05-17T23:31:11.711902Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06025","last_updated":"2024-07-15T23:57:00Z","snapshot_observed_at":"2026-08-13T05:28:29.911514Z","submitted_at":"2023-11-10T12:25:32Z","title":"ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.06025","snapshot_observed_at":"2026-08-11T17:28:07.929897Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.15236","last_updated":"2024-12-23T02:44:18Z","snapshot_observed_at":"2026-08-15T01:39:24.322978Z","submitted_at":"2024-12-12T05:27:43Z","title":"CareBot: A Pioneering Full-Process Open-Source Medical Language Model","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T17:28:07.929897Z"},"links":{"cited_paper":"/paper/2311.06025","citing_paper":"/paper/2412.15236"},"observation_digest":"sha256:27db90d24e90b5edd417e3eaf6746111d3708992f092e4296ed1a5c901eeabe6","observation_id":"266c0143-f77d-433f-b45e-ec686ee237f8","resolution":{"observed_at":"2026-08-11T17:28:07.929897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06025","last_updated":"2024-07-15T23:57:00Z","snapshot_observed_at":"2026-08-13T05:28:29.911514Z","submitted_at":"2023-11-10T12:25:32Z","title":"ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.06025","snapshot_observed_at":"2026-08-11T04:22:52.057307Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.18947","last_updated":"2025-03-28T23:37:45Z","snapshot_observed_at":"2026-08-13T06:20:44.384461Z","submitted_at":"2024-12-25T16:51:29Z","title":"MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models","version":4},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T04:22:52.057307Z"},"links":{"cited_paper":"/paper/2311.06025","citing_paper":"/paper/2412.18947"},"observation_digest":"sha256:a113bffcb38d91368c64c15276ebc304f49ecccd87070308ede22587b7ba3107","observation_id":"ef7a7b2b-55bd-437f-881a-d19cb8b48ede","resolution":{"observed_at":"2026-08-11T04:22:52.057307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06025","last_updated":"2024-07-15T23:57:00Z","snapshot_observed_at":"2026-08-13T05:28:29.911514Z","submitted_at":"2023-11-10T12:25:32Z","title":"ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.06025","snapshot_observed_at":"2026-08-10T20:03:00.335442Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.09484","last_updated":"2025-03-11T06:54:09Z","snapshot_observed_at":"2026-08-11T18:28:03.627106Z","submitted_at":"2025-01-16T11:41:14Z","title":"Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T20:03:00.335442Z"},"links":{"cited_paper":"/paper/2311.06025","citing_paper":"/paper/2501.09484"},"observation_digest":"sha256:f0f946de9d7b0805a8f77448b2b81639dfb55ec6cf7733e88bbb992e5173a624","observation_id":"9a60c292-1a49-4008-9d9b-40e3c2ca9d6a","resolution":{"observed_at":"2026-08-10T20:03:00.335442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06025","last_updated":"2024-07-15T23:57:00Z","snapshot_observed_at":"2026-08-13T05:28:29.911514Z","submitted_at":"2023-11-10T12:25:32Z","title":"ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.06025","snapshot_observed_at":"2026-08-10T15:06:51.905829Z","title":"ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences [Internet]","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.14530","last_updated":"2025-01-24T14:35:21Z","snapshot_observed_at":"2026-08-13T10:03:45.625903Z","submitted_at":"2025-01-24T14:35:21Z","title":"Design and Implementation of a Psychiatry Resident Training System Based on Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T15:06:51.905829Z"},"links":{"cited_paper":"/paper/2311.06025","citing_paper":"/paper/2501.14530"},"observation_digest":"sha256:15fc0b8b0e44a5c04714368f23277521b737d88adda2e5e92ffe16022bffbb2c","observation_id":"df8c41f9-6935-45d3-9d7b-53093542f11b","resolution":{"observed_at":"2026-08-10T15:06:51.905829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.06025/citation-record","integrity":"/paper/2311.06025/integrity","json":"/paper/2311.06025/citation-record.json","paper":"/paper/2311.06025"},"outbound":[],"paper":{"arxiv_id":"2311.06025","last_updated":"2024-07-15T23:57:00Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T05:28:29.911514Z","submitted_at":"2023-11-10T12:25:32Z","title":"ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.06025."}