Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.15477.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:42.356055Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T18:55:03.366795Z
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 12157927-1686-46ca-8a1c-8f18eeeddc56 · inbound
UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models cites this paper.
UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T18:55:03.368791Z
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 acb1f49b-9959-4925-9d76-9942edc76619 · inbound
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
Reference 188
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:39:42.356055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfd50d5a-86c3-4101-adee-4ff98f625024 · inbound
MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine cites this paper.
MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:50:45.231663Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0b63739-a436-4cef-9232-56b0f0fa4212 · inbound
Multi-human Interactive Talking Dataset cites this paper.
Multi-human Interactive Talking Dataset MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:46:04.233222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f77aac0e-1f9b-47a7-8756-91b6cd9a167f · inbound
AMVICC: A Novel Benchmark for Cross-Modal Failure Mode Profiling for VLMs and IGMs cites this paper.
AMVICC: A Novel Benchmark for Cross-Modal Failure Mode Profiling for VLMs and IGMs MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:35:26.755581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.