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Paper Citation Record · LEDGER

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.18027.

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

pith.paper-citation-record.v1
2303.18027 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:47:27.341864Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:31:24.109678Z

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 473e0470-2905-498d-a8fd-f67854a3936c · inbound

EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning cites this paper.

EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:21:02.005252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T16:04:15.995849Z digest=sha256:53665cce8c06b3413eb82f0669b901c71cfa3ab1ea57fc3760d4ddf9ad8094c7

Observation dd7393b5-e3a4-4e6a-a93b-b1ce620677df · inbound

Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning cites this paper.

Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:31:24.114518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T02:47:27.341864Z digest=sha256:8b90ae41d0f4df12f7c7c56a23de0980fc24907e51a06a3ae13e2e1da5bf07be