Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.12806.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:35.891660Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 3337559f-3d8d-4f38-aa07-03494a23c98b · inbound
LLM Sensitivity Evaluation Framework for Clinical Diagnosis cites this paper.
LLM Sensitivity Evaluation Framework for Clinical Diagnosis MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:35.891660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcefcfe2-4e36-403e-b210-d28e371dab99 · inbound
MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction cites this paper.
MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:01:31.724700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7e605dd6-e4a8-4331-bce0-cb9334308c6b · inbound
Measuring Epistemic Resilience of LLMs Under Misleading Medical Context cites this paper.
Measuring Epistemic Resilience of LLMs Under Misleading Medical Context MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T09:40:47.726832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.