Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Language models are susceptible to incorrect patient self-diagnosis in medical applications
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.09362.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:44:45.771242Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:51:09.201105Z
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 7821e26f-e31f-4237-afa4-00093124c6e7 · inbound
Mining Evidence about Your Symptoms: Mitigating Availability Bias in Online Self-Diagnosis cites this paper.
Mining Evidence about Your Symptoms: Mitigating Availability Bias in Online Self-Diagnosis Language models are susceptible to incorrect patient self-diagnosis in medical applications
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:44:45.771242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d008da10-c511-4d0d-b54f-3995c135a8f3 · inbound
Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs cites this paper.
Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs Language models are susceptible to incorrect patient self-diagnosis in medical applications
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:51:09.296538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8b11b2df-1105-4fa2-a56e-e79d42542bf7 · inbound
Cross-Platform Evaluation of Large Language Model Safety in Pediatric Consultations: Evolution of Adversarial Robustness and the Scale Paradox cites this paper.
Cross-Platform Evaluation of Large Language Model Safety in Pediatric Consultations: Evolution of Adversarial Robustness and the Scale Paradox Language models are susceptible to incorrect patient self-diagnosis in medical applications
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:01:05.673358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.