{"as_of":"2026-08-08T20:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77b60abfe08f6e41b528d4c2771233d91d843ce7f840c8af66ce6086b9ac5d3b","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":"2026-08-08T06:32:00.761636+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":"2026-08-04T07:50:10.756264Z","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":"2026-07-03T09:47:59.481897Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.06775","last_updated":"2024-07-08T14:01:20Z","snapshot_observed_at":"2026-08-07T06:53:25.948739Z","submitted_at":"2023-12-12T20:54:51Z","title":"Large language models in healthcare and medical domain: A review","version":2},"cited_work":{"arxiv_id":"2401.06775","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.06775","snapshot_observed_at":"2026-07-03T09:47:59.481897Z","title":"arXiv preprint arXiv:2401.06775 , year=","venue":null,"work_id":"f8310a86-fe6f-4a43-8a7e-3ae72475cf0d","year":2023},"citing_paper":{"arxiv_id":"2605.16113","last_updated":"2026-05-15T15:58:10Z","snapshot_observed_at":"2026-08-05T03:54:45.109264Z","submitted_at":"2026-05-15T15:58:10Z","title":"DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-20T19:02:47.017761Z"},"links":{"cited_paper":"/paper/2401.06775","citing_paper":"/paper/2605.16113"},"observation_digest":"sha256:66829b04d64bf4e8023d1ee74e2b36f643f673f543dd26b297e239ed2806644d","observation_id":"7fe74a0f-eb73-48f8-be92-58a95dfcae9b","resolution":{"observed_at":"2026-05-20T19:03:39.477824Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06775","last_updated":"2024-07-08T14:01:20Z","snapshot_observed_at":"2026-08-07T06:53:25.948739Z","submitted_at":"2023-12-12T20:54:51Z","title":"Large language models in healthcare and medical domain: A review","version":2},"cited_work":{"arxiv_id":"2401.06775","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.06775","snapshot_observed_at":"2026-07-03T09:47:59.481897Z","title":"arXiv preprint arXiv:2401.06775 , year=","venue":null,"work_id":"f8310a86-fe6f-4a43-8a7e-3ae72475cf0d","year":2023},"citing_paper":{"arxiv_id":"2606.11740","last_updated":"2026-06-10T07:16:27Z","snapshot_observed_at":"2026-08-02T02:17:16.809620Z","submitted_at":"2026-06-10T07:16:27Z","title":"UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA","version":1},"reference_index":175,"source":"arxiv_source","source_observed_at":"2026-06-27T10:21:12.782864Z"},"links":{"cited_paper":"/paper/2401.06775","citing_paper":"/paper/2606.11740"},"observation_digest":"sha256:b1ef6d8d0ac197d8842e147a9cdb0cfc8e43748b78483101856fcc7e4eb1d841","observation_id":"0bc1bc63-e67b-401a-97e0-4e62952a5e9a","resolution":{"observed_at":"2026-07-03T09:47:59.483359Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06775","last_updated":"2024-07-08T14:01:20Z","snapshot_observed_at":"2026-08-07T06:53:25.948739Z","submitted_at":"2023-12-12T20:54:51Z","title":"Large language models in healthcare and medical domain: A review","version":2},"cited_work":{"arxiv_id":"2401.06775","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.06775","snapshot_observed_at":"2026-07-03T09:47:59.481897Z","title":"arXiv preprint arXiv:2401.06775 , year=","venue":null,"work_id":"f8310a86-fe6f-4a43-8a7e-3ae72475cf0d","year":2023},"citing_paper":{"arxiv_id":"2606.28364","last_updated":"2026-06-14T14:39:28Z","snapshot_observed_at":"2026-08-03T15:37:49.498274Z","submitted_at":"2026-06-14T14:39:28Z","title":"LLM based Knowledge Graph Approach to Automating Medical Device Regulatory Compliance","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T11:10:43.405405Z"},"links":{"cited_paper":"/paper/2401.06775","citing_paper":"/paper/2606.28364"},"observation_digest":"sha256:a4c94ac8a7af08952f720bd705d849df8360076fe4a261eacf7cff37febb2884","observation_id":"99ce4467-067d-4b43-8842-7e547e88ccc1","resolution":{"observed_at":"2026-06-30T11:14:37.699225Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06775","last_updated":"2024-07-08T14:01:20Z","snapshot_observed_at":"2026-08-07T06:53:25.948739Z","submitted_at":"2023-12-12T20:54:51Z","title":"Large language models in healthcare and medical domain: A review","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06775","snapshot_observed_at":"2026-08-01T01:32:18.638987Z","title":"2024 , bdsk-url-1 =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.27783","last_updated":"2026-07-30T07:14:50Z","snapshot_observed_at":"2026-08-06T12:17:00.670693Z","submitted_at":"2026-07-30T07:14:50Z","title":"Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-01T01:32:18.638987Z"},"links":{"cited_paper":"/paper/2401.06775","citing_paper":"/paper/2607.27783"},"observation_digest":"sha256:928b29746a339037c580c1251a9099ccf33921a1e292a771387a360e97f53222","observation_id":"cbf0e633-884f-40df-a8aa-d36b69b6e0c7","resolution":{"observed_at":"2026-08-01T01:32:18.638987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06775","last_updated":"2024-07-08T14:01:20Z","snapshot_observed_at":"2026-08-07T06:53:25.948739Z","submitted_at":"2023-12-12T20:54:51Z","title":"Large language models in healthcare and medical domain: A review","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06775","snapshot_observed_at":"2026-08-04T00:42:16.780969Z","title":"Hugging Face model card","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.00207","last_updated":"2026-07-31T18:43:07Z","snapshot_observed_at":"2026-08-08T03:48:01.539477Z","submitted_at":"2026-07-31T18:43:07Z","title":"Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection","version":1},"reference_index":2506,"source":"pdf_text","source_observed_at":"2026-08-04T00:42:16.780969Z"},"links":{"cited_paper":"/paper/2401.06775","citing_paper":"/paper/2608.00207"},"observation_digest":"sha256:a95ce409c058ff225debcde622300b65bf948a5666e6e61ed1a841f6eb8dcb3c","observation_id":"1a21de04-ed7d-412c-abde-edc35928a926","resolution":{"observed_at":"2026-08-04T00:42:16.780969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06775","last_updated":"2024-07-08T14:01:20Z","snapshot_observed_at":"2026-08-07T06:53:25.948739Z","submitted_at":"2023-12-12T20:54:51Z","title":"Large language models in healthcare and medical domain: A review","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06775","snapshot_observed_at":"2026-08-04T07:50:10.756264Z","title":"Large language models in healthcare and medical domain:","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02409","last_updated":"2026-08-03T15:50:33Z","snapshot_observed_at":"2026-08-08T13:56:53.413476Z","submitted_at":"2026-08-03T15:50:33Z","title":"MonitrLLM: A Community-Centered Evaluation Infrastructure for Large Language Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-04T07:50:10.756264Z"},"links":{"cited_paper":"/paper/2401.06775","citing_paper":"/paper/2608.02409"},"observation_digest":"sha256:ec310ee19e1cf158bf676e0cb6c7839c1ba47927ee914edf45a3b250ac72a87b","observation_id":"0927f03c-fa54-4aa1-b2f4-cd7d08681274","resolution":{"observed_at":"2026-08-04T07:50:10.756264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.06775/citation-record","integrity":"/paper/2401.06775/integrity","json":"/paper/2401.06775/citation-record.json","paper":"/paper/2401.06775"},"outbound":[],"paper":{"arxiv_id":"2401.06775","last_updated":"2024-07-08T14:01:20Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T06:53:25.948739Z","submitted_at":"2023-12-12T20:54:51Z","title":"Large language models in healthcare and medical domain: A review"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.06775."}