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Paper Citation Record · LEDGER

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

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.

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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:22.658240Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T12:36:50.060335Z digest=sha256:678c6c7ea9cd8a409be7892e8de1241aaeb606025e9aff0dc9f04041196c43ba

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.

source=pdf_text observed=2026-08-07T15:42:22.658240Z digest=sha256:76523678786cbc23d4c9a315e84a33697f0ac8fc94d31f16f41c9e4c8ee3a1a4

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.

source=arxiv_source observed=2026-08-07T15:02:34.627799Z digest=sha256:0f1ddafd4145ef92cb6c768f5e690292ce751e368ef013475948f3ec5411d97e

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.

source=pdf_text observed=2026-08-04T16:43:19.424876Z digest=sha256:6a19b4059bd1b8df983063bb984349b1dd88e295a24322b6f9410e287e3bcdb8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T14:50:18.183795Z digest=sha256:8c27a77ef3e1c12aeb3a053e2c2ba46a3dd14b8daeae81e5528d34718aae626d