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Paper Citation Record · LEDGER

Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2503.04691.

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

pith.paper-citation-record.v1
2503.04691 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:11:20.492320Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:57:31.629931Z

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 8170ad43-6136-49e0-89f3-97328b26bc02 · inbound

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models cites this paper.

Critique of Impure Reason: Unveiling the reasoning behaviour of medical Large Language Models Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-11T11:11:20.492320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:11:20.492320Z digest=sha256:6568653894f8c3155d80a2b860ba5326b8392c71c08fdb9df57ffe360cc11880

Observation c52ef2d4-c7d1-47c7-8cb6-135021e83135 · inbound

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

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:23.341138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:23.341138Z digest=sha256:9c8eb636b835a690873cc128912f5c8d441ff81705ff655ffdc48dfa87a3a414

Observation 101fbe55-964d-4a34-af37-261a86becbc3 · inbound

R2MED: A Benchmark for Reasoning-Driven Medical Retrieval cites this paper.

R2MED: A Benchmark for Reasoning-Driven Medical Retrieval Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:54:53.047533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T13:52:15.835379Z digest=sha256:5a473cfb2c9d47019568ecdffdaaef637b05855019f3837b8b3256af58592d1c

Observation 6a0942ad-9a9b-499b-84cf-9c9fc39cd225 · inbound

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models cites this paper.

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:15.401898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:15.401898Z digest=sha256:14989e9a41cd583b9d5f303eef26127f5f7f6378c03804cde8dcaa50932b4444

Observation 3391c1e2-2fd8-4417-a6ec-7c27e67d08fa · inbound

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation cites this paper.

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:09:07.229393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:09:07.229393Z digest=sha256:8cfaea6cf8fb3c731a65484982e5c835fc787e3a08010b00b38ebc763688074d

Observation 27d635b9-6710-4f2c-985b-0ce87cf70f69 · inbound

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs cites this paper.

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:50.899730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:50.899730Z digest=sha256:82386c87e8131588f6265d2c9b98e4d66d8c62ed122f325817c9396cb541e905

Observation 9bfa7835-302a-4364-84c1-b7861e618948 · inbound

Auditing medical multi-agent AI reveals risks of false consensus cites this paper.

Auditing medical multi-agent AI reveals risks of false consensus Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T10:23:41.345505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:23:41.345505Z digest=sha256:9819d4175b660d3d953f39728a45fe0a66f96d946e35e8676a165c30daf91b9b

Observation 04bebf6d-5e50-4884-87b1-dc8a6ec1079c · inbound

The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios cites this paper.

The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T10:55:09.481083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:55:09.481083Z digest=sha256:4920f0d4496002e238f9483c47e9e687fe087ddcad74fe8137e175089f1b6dc1

Observation 3901abe2-2aac-4f61-bcfb-e0a638fcb523 · inbound

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics cites this paper.

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:11:23.757993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T04:32:16.930291Z digest=sha256:092fccfeb334d5cc0f753ece713e7a3f82e6785da36cf91213d2100052218bdb

Observation c07a3434-317f-41ed-b803-eef1a0dcf3c0 · inbound

EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs cites this paper.

EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-06-29T06:43:10.358216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T06:41:06.828814Z digest=sha256:9579345a8f4135569913c25df134b75e4eee50f2eee505d2763a095156cacd30

Observation b05bead6-4bdf-4d64-a396-4a5ba9978ab3 · inbound

CAREAgent: Clinical Agent with Structured Reasoning and Tool-Integrated for Order Generation cites this paper.

CAREAgent: Clinical Agent with Structured Reasoning and Tool-Integrated for Order Generation Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:46:14.129590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T17:42:53.473531Z digest=sha256:b365ebda4782f56caa2cb8334c5531ecdb335057385ec0c85e649c202ffbd7c4

Observation 358ce634-a5bd-4850-9452-d6c24c60f1ed · inbound

ClinicalMC: A Benchmark for Multi-Course Clinical Decision-Making with Large Language Models cites this paper.

ClinicalMC: A Benchmark for Multi-Course Clinical Decision-Making with Large Language Models Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:06:30.539563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T10:16:13.117505Z digest=sha256:c64b9bb8d18df97734160f7c943d146cc47a7e0beca873a5cc2442296ce70212

Observation a791188c-d2d4-48f5-9b16-d9e86379b3c3 · inbound

DEEPMED Search: An Open-Source Agentic Platform for Medical Deep Research with Introspective Verification cites this paper.

DEEPMED Search: An Open-Source Agentic Platform for Medical Deep Research with Introspective Verification Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:54:20.477832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T06:49:56.771944Z digest=sha256:fed08ec1d047e28ae2dbefa955cddad4919bec29c889a88a88978ea93efd0ad5

Observation c8524ab9-926f-454b-925d-b934f8448ea7 · inbound

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning cites this paper.

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 153

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T18:57:31.631179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-10T18:50:22.827472Z digest=sha256:48dc638276b9acd21b9a200ca5fbb0858fc09d17e6e0581afda2b683e5e3c398

Observation a57514bb-f553-464b-8ca2-c5056fda13c6 · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 200

Resolution
unresolved
no resolver link, observed 2026-07-14T06:30:16.612345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:30:16.612345Z digest=sha256:fb4c227ad09cc9d32fd30be6a2a7b0c58f910b1a219ede35bbc5b309e16dca6f

Observation 066c6df1-6159-4b8b-bfad-ee6732c40a38 · inbound

Judge-dependent safety gains and model-specific helpfulness costs of evidence-sufficiency prompting in clinical LLMs cites this paper.

Judge-dependent safety gains and model-specific helpfulness costs of evidence-sufficiency prompting in clinical LLMs Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T16:12:28.284354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:12:28.284354Z digest=sha256:9e1dac43657b74f6ec4d987cacc7865813e0d2d921e03705c0b63d01e6db7711