{"as_of":"2026-08-08T12:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e13bf7c8cf9dc1d1667169cb5cc5e54bfbec23a812b0fcd1e420d1f99abf8e3b","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:42:22.658240Z","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":"2026-05-15T14:51:08.424499Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.03590","last_updated":"2024-11-06T01:09:17Z","snapshot_observed_at":"2026-07-06T19:45:53.289704Z","submitted_at":"2024-11-06T01:09:17Z","title":"From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond","version":1},"cited_work":{"arxiv_id":"2411.03590","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03590","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond","venue":null,"work_id":"ad92e64b-cffd-4121-9704-65bf9f715388","year":2024},"citing_paper":{"arxiv_id":"2412.18925","last_updated":"2024-12-25T15:12:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-25T15:12:34Z","title":"HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-15T12:36:50.060335Z"},"links":{"cited_paper":"/paper/2411.03590","citing_paper":"/paper/2412.18925"},"observation_digest":"sha256:678c6c7ea9cd8a409be7892e8de1241aaeb606025e9aff0dc9f04041196c43ba","observation_id":"529baa3a-3490-44ce-b83e-71ec15fd6ef7","resolution":{"observed_at":"2026-05-15T12:36:50.259010Z","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":"2411.03590","last_updated":"2024-11-06T01:09:17Z","snapshot_observed_at":"2026-07-06T19:45:53.289704Z","submitted_at":"2024-11-06T01:09:17Z","title":"From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03590","snapshot_observed_at":"2026-08-07T15:42:22.658240Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14107","last_updated":"2025-05-29T08:24:00Z","snapshot_observed_at":"2026-08-07T23:55:00.741921Z","submitted_at":"2025-05-20T09:14:53Z","title":"DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:42:22.658240Z"},"links":{"cited_paper":"/paper/2411.03590","citing_paper":"/paper/2505.14107"},"observation_digest":"sha256:76523678786cbc23d4c9a315e84a33697f0ac8fc94d31f16f41c9e4c8ee3a1a4","observation_id":"e988c9fd-a9fc-4a70-80cb-4fd7071f6588","resolution":{"observed_at":"2026-08-07T15:42:22.658240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03590","last_updated":"2024-11-06T01:09:17Z","snapshot_observed_at":"2026-07-06T19:45:53.289704Z","submitted_at":"2024-11-06T01:09:17Z","title":"From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03590","snapshot_observed_at":"2026-08-07T15:02:34.627799Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16661","last_updated":"2025-09-09T13:48:45Z","snapshot_observed_at":"2026-08-07T14:55:15.075616Z","submitted_at":"2025-05-22T13:27:37Z","title":"A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T15:02:34.627799Z"},"links":{"cited_paper":"/paper/2411.03590","citing_paper":"/paper/2505.16661"},"observation_digest":"sha256:0f1ddafd4145ef92cb6c768f5e690292ce751e368ef013475948f3ec5411d97e","observation_id":"f56d778c-12a3-4b81-9ffb-1527464a1378","resolution":{"observed_at":"2026-08-07T15:02:34.627799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03590","last_updated":"2024-11-06T01:09:17Z","snapshot_observed_at":"2026-07-06T19:45:53.289704Z","submitted_at":"2024-11-06T01:09:17Z","title":"From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03590","snapshot_observed_at":"2026-08-04T16:43:19.424876Z","title":"From Medprompt to o1: Exploration of run-time strategies for medical challenge problems and beyond [Internet]","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.12194","last_updated":"2026-05-24T19:16:03Z","snapshot_observed_at":"2026-08-06T16:38:02.742645Z","submitted_at":"2025-09-15T17:54:51Z","title":"Teaching large language models to reason like expert diagnosticians","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T16:43:19.424876Z"},"links":{"cited_paper":"/paper/2411.03590","citing_paper":"/paper/2509.12194"},"observation_digest":"sha256:6a19b4059bd1b8df983063bb984349b1dd88e295a24322b6f9410e287e3bcdb8","observation_id":"13fa9db0-d181-4d40-b6b8-b06da1206676","resolution":{"observed_at":"2026-08-04T16:43:19.424876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03590","last_updated":"2024-11-06T01:09:17Z","snapshot_observed_at":"2026-07-06T19:45:53.289704Z","submitted_at":"2024-11-06T01:09:17Z","title":"From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond","version":1},"cited_work":{"arxiv_id":"2411.03590","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03590","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond","venue":null,"work_id":"ad92e64b-cffd-4121-9704-65bf9f715388","year":2024},"citing_paper":{"arxiv_id":"2604.15331","last_updated":"2026-03-09T16:11:32Z","snapshot_observed_at":"2026-08-02T05:56:56.299930Z","submitted_at":"2026-03-09T16:11:32Z","title":"How people use Copilot for Health","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-15T14:50:18.183795Z"},"links":{"cited_paper":"/paper/2411.03590","citing_paper":"/paper/2604.15331"},"observation_digest":"sha256:8c27a77ef3e1c12aeb3a053e2c2ba46a3dd14b8daeae81e5528d34718aae626d","observation_id":"b5f3dbd8-d400-40e3-800a-856135b2a7d2","resolution":{"observed_at":"2026-05-15T14:51:08.427000Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2411.03590/citation-record","integrity":"/paper/2411.03590/integrity","json":"/paper/2411.03590/citation-record.json","paper":"/paper/2411.03590"},"outbound":[],"paper":{"arxiv_id":"2411.03590","last_updated":"2024-11-06T01:09:17Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T19:45:53.289704Z","submitted_at":"2024-11-06T01:09:17Z","title":"From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond"},"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 5 inbound Pith citation observations for arXiv:2411.03590."}