Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2303.18027.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:11.077396Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T07:31:24.109678Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 397ce05b-4fcb-4f6f-bdd6-b6810636bb2e · inbound
Polish-English medical knowledge transfer: A new benchmark and results Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11dc413d-02cc-4f53-8575-97b11226bca3 · inbound
Technical Report: Small Language Model for Japanese Clinical and Medicine Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
Reference 65
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b748f13-a5e6-4a0c-ba0e-904bb31ace17 · inbound
Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a59fee1-e889-437c-b70f-5e78391eb159 · inbound
Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2591c9e3-cc51-44f4-85ca-68b12b129d22 · inbound
A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15ea280b-ca5b-4968-bfa2-489e37eabb39 · inbound
KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 473e0470-2905-498d-a8fd-f67854a3936c · inbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dd7393b5-e3a4-4e6a-a93b-b1ce620677df · inbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.