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Paper Citation Record · LEDGER

Do Large Language Models have Shared Weaknesses in Medical Question Answering?

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.07225.

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

pith.paper-citation-record.v1
2310.07225 v3

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:20:09.015875Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T05:20:10.066915Z

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 d6407080-0656-44f2-80b3-4e3062dd9d1e · inbound

Polish-English medical knowledge transfer: A new benchmark and results cites this paper.

Polish-English medical knowledge transfer: A new benchmark and results Do Large Language Models have Shared Weaknesses in Medical Question Answering?

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T05:20:10.073723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T05:20:09.015875Z digest=sha256:eca738318190fd9ad82a61e85b3c191e8b89497b56b76eb06c8ad0e191798d54

Observation eff8e1e3-656e-43ba-ab1e-0bcc78afbc34 · inbound

KNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibration cites this paper.

KNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibration Do Large Language Models have Shared Weaknesses in Medical Question Answering?

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T21:28:04.212661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:28:04.212661Z digest=sha256:471afe3446741cfe66a37bfb45dc96c4ea61d36c1c5f351c1b3a8bcfab1ecdaf