Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.07314.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T02:21:21.301494Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 950e3daa-e671-410a-b583-02f898882b4b · inbound
Development and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South Africa cites this paper.
Development and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South Africa MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-07-22T03:21:54.600556Z
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.
Observation 5fb30f76-7f66-4807-9636-3942a95ae5f0 · inbound
Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content cites this paper.
Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications
Reference 34
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-22T03:21:54.600556Z
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.
Observation 913a0366-970a-461d-a17a-14865e2d0ea9 · inbound
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents cites this paper.
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:21:21.301494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.