Paper Citation Record · LEDGER

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.06573.

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

pith.paper-citation-record.v1
2406.06573 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:02.715263Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:07:17.626802Z

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 7f88f812-50ac-424a-a43f-d8e1f92f5859 · inbound

Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning cites this paper.

Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:37:27.818864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe13c786-3e20-4461-bf06-bc8efaca8a00 · inbound

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems cites this paper.

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:02.715263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2966f35-8df5-4396-8403-1ab3f0feb77c · inbound

Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations cites this paper.

Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T17:26:38.350247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30da5c93-d000-4640-9d40-0f9ded6dda8c · inbound

MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors cites this paper.

MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:50:56.650048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 652670ec-ea8a-412d-a967-82db346d339c · inbound

When Large Language Models Fail in Healthcare: Evaluating Sensitivity to Prompt Variations cites this paper.

When Large Language Models Fail in Healthcare: Evaluating Sensitivity to Prompt Variations MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:07:17.628109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.