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Paper Citation Record · LEDGER

MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.02730.

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

pith.paper-citation-record.v1
2407.02730 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:45.590976Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:20:24.269397Z

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 a9ca4652-2123-4c4f-bfc2-ebc1b1ccedfb · inbound

Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning cites this paper.

Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:45.590976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:45.590976Z digest=sha256:51c9ffb1af13bb6e5912b2cd634ea5d20774281b578495c46c7c13b09f7ffd93

Observation 63cfcc53-e338-4855-aab8-75092ce45f50 · inbound

MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports cites this paper.

MedErr-CT: A Visual Question Answering Benchmark for Identifying and Correcting Errors in CT Reports MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:45.285853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:45.285853Z digest=sha256:b54997617c26875a453989c840509f2004b9973b0b61467154b2e3d648e672ab

Observation ecc4e126-c511-4fba-99d3-4fe948daac19 · inbound

Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming cites this paper.

Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:40.999677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:45:40.999677Z digest=sha256:d57c5c207b7c3ad0e35cc328ada0716a9bdfa06593c4f7a4905a6c7830bf5b54

Observation 132dd4a7-8acd-489d-ae79-bd02b2a8786b · 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 MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T22:26:40.765049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:26:40.765049Z digest=sha256:4f6d8908aa676ab4c9dc9944592bc071cf7fbbe274636bbee97904b44ebde2df

Observation 8ea22f44-06aa-409e-a10e-0bfb7a78ecc3 · 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 MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T22:26:06.453447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:26:06.453447Z digest=sha256:6f6990bbd98817028e31c32ecb2d5fbd60bad8511d243c6a9348c80dd31bb20a

Observation 7f89f10b-ebad-4548-bdca-3b84d6a63e8a · inbound

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence cites this paper.

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:45:55.180783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T03:45:42.703353Z digest=sha256:954cd00a2faa54ee97c5020eb0886c667cc958e2c7a7718fe2c0f13d5087f365

Observation 8db77fc4-1eca-4893-be17-17fc76ff3dc7 · inbound

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence cites this paper.

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:20:24.272847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T06:19:11.597882Z digest=sha256:3a6118d71c422e34ce2dc9d5bac2275d9c53e3889944290042a180cc486e3b82

Observation b48ba905-dc76-4ca2-a66d-7a06a0c94de7 · inbound

HalluCXR: Benchmarking and Mitigating Hallucinations in Medical Vision-Language Models for Chest Radiograph Interpretation cites this paper.

HalluCXR: Benchmarking and Mitigating Hallucinations in Medical Vision-Language Models for Chest Radiograph Interpretation MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T06:39:43.798476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T06:37:43.679397Z digest=sha256:6895146dee15ba04503655d8bd8d3f2f9e7e1e13180bb532468934783079b0f9

Observation b7e6f995-e05a-4561-bea8-5bd44226cdca · inbound

Attention Without Grounding: Causal Evaluation of Visual Explanations in Medical VLMs cites this paper.

Attention Without Grounding: Causal Evaluation of Visual Explanations in Medical VLMs MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T15:04:52.585464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:04:52.585464Z digest=sha256:e22f2c150b17c891c86a2bedd9bf9a8bda9ee34ff4bca6b1876c12cfb6999304