Paper Citation Record · LEDGER

RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2411.00299.

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

pith.paper-citation-record.v1
2411.00299 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:26:40.826225Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:39:03.680112Z

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 84d671a0-3789-48b0-b0d7-78efdf937a6e · inbound

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders cites this paper.

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T22:26:40.826225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf50640-6d51-4c35-b2f1-219f0360aa8e · inbound

Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities cites this paper.

Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T22:26:06.529995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3ea941-ee7f-46c3-979d-a100d4f614e9 · inbound

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain cites this paper.

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T17:47:52.167324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63dad6f7-2260-4090-b6e7-382ada45c24f · inbound

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation cites this paper.

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:28:17.730627Z

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 b4b88ed9-153c-4782-b788-e659fb3b26b8 · inbound

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification cites this paper.

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:56:30.638080Z

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 45b89ea5-3a05-4f48-95ad-465174fe35c3 · inbound

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering cites this paper.

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:53:59.105211Z

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 4ac8dc0e-2426-4128-b947-c5f92cd8ab3f · inbound

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering cites this paper.

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:57.416955Z

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 81de1313-dfa2-4208-a5c8-46f44a84ebed · inbound

Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification cites this paper.

Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:39:03.684286Z

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 eb3a63b9-e436-4f2b-80ac-4bc0f6368598 · inbound

Visual Semantic Entropy: Do Vision Language Models Recognize Visual Ambiguity? cites this paper.

Visual Semantic Entropy: Do Vision Language Models Recognize Visual Ambiguity? RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:25:41.423977Z

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 c8348acf-1580-49a8-8946-17dca487d8e2 · inbound

Learning to See Locally and Align Clinically with Pathology Semantics for Radiology Report Generation cites this paper.

Learning to See Locally and Align Clinically with Pathology Semantics for Radiology Report Generation RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-04T00:54:37.672577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.