Paper Citation Record · LEDGER

From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.03590.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.03590 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:33:34.267091Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-15T14:51:08.424499Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 529baa3a-3490-44ce-b83e-71ec15fd6ef7 · inbound

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs cites this paper.

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:36:50.259010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47d0cea9-dbef-4966-854a-5670385e56ae · inbound

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study cites this paper.

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T18:33:34.267091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e988c9fd-a9fc-4a70-80cb-4fd7071f6588 · inbound

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models cites this paper.

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:22.658240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56d778c-12a3-4b81-9ffb-1527464a1378 · inbound

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP cites this paper.

A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:34.627799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13fa9db0-d181-4d40-b6b8-b06da1206676 · inbound

Teaching large language models to reason like expert diagnosticians cites this paper.

Teaching large language models to reason like expert diagnosticians From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T16:43:19.424876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f3dbd8-d400-40e3-800a-856135b2a7d2 · inbound

How people use Copilot for Health cites this paper.

How people use Copilot for Health From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:51:08.427000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.