Paper Citation Record · LEDGER

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2508.00171.

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

pith.paper-citation-record.v1
2508.00171 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:22:23.283748Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy10
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a6ffbcc-1a18-4860-85dd-db02b8bc1026 · outbound

This paper cites Benchmarking Faithfulness: Towards Accurate Natural Language Explanations in Vision-Language Tasks.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Benchmarking Faithfulness: Towards Accurate Natural Language Explanations in Vision-Language Tasks

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T10:22:23.585027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 928c8884-50c5-40a2-a549-dce28a816e2b · outbound

This paper cites Faithfulness Tests for Natural Language Explanations.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Faithfulness Tests for Natural Language Explanations

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.149622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b090e09-2126-487d-84fb-1ff962e143ed · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:22:23.940580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 220b0161-5aaa-4fcb-96d7-06d5e94475eb · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:22:23.923469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e10a37c9-fd7d-46a5-8b2c-6453fa393989 · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.169701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70ddccd0-6a64-4664-adf7-a93ebc90a1d5 · outbound

This paper cites https://huggingface.co/collections/ google/medgemma-release-680aade845f90bec6a3f60c4 (2025), accessed: [Insert Date Accessed, e.g., 2025-05-20].

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI https://huggingface.co/collections/ google/medgemma-release-680aade845f90bec6a3f60c4 (2025), accessed: [Insert Date Accessed, e.g., 2025-05-20]

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.175948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07900167-2b66-4380-9eb4-0042305f86d6 · outbound

This paper cites The Llama 3 Herd of Models.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.181614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab1f304-9315-43f1-b317-4922a7c4eb5c · outbound

This paper cites Scientific data 6(1), 317 (2019).

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Scientific data 6(1), 317 (2019)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.186216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f05764-3ac8-462f-806e-8c0bf174ef0e · outbound

This paper cites npj Digital Medicine 5(1), 171 (2022).

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI npj Digital Medicine 5(1), 171 (2022)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:22:23.877266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b1c5602d-3d13-44c5-941c-572258ef3ff9 · outbound

This paper cites Advances in Neural Information Processing Systems36, 28541–28564 (2023).

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Advances in Neural Information Processing Systems36, 28541–28564 (2023)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.195850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c792513-3357-476d-a7a1-498ec1aacf4a · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.201492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 799d9db5-0728-43c5-842f-14ea73b49f96 · outbound

This paper cites an unresolved cited work.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.207675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d5f4ea1-7ace-44fb-b376-3d2ffd7c417f · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:22:23.797899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7dad1d93-067b-43bb-95be-4acf1461e606 · outbound

This paper cites MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.218640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c65432de-aa7e-42d4-b967-18ee6a206c22 · outbound

This paper cites Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.223689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e78619f-605d-437c-ac07-a5b690a51f9d · outbound

This paper cites In: International conference on artificial neural networks.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI In: International conference on artificial neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:22:23.776207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d23e294c-3965-450e-873d-444d64288f02 · outbound

This paper cites In: 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI).

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI In: 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:22:23.756042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ee29c3e-3edb-4d5e-a38c-cba83b415ce9 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:22:23.731787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b7aa36e-fc2e-4ebc-8498-3307b4480735 · outbound

This paper cites LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.245400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bf92ec4-f576-4e11-8d2d-7ddafff5f5bd · outbound

This paper cites Advances in Neural Information Processing Systems36, 74952–74965 (2023).

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Advances in Neural Information Processing Systems36, 74952–74965 (2023)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.251084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa41d23e-31fe-4b5e-ba77-e4c824bdfd23 · outbound

This paper cites Analyzing the Structure of Attention in a Transformer Language Model.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Analyzing the Structure of Attention in a Transformer Language Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.256337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e359d1a-e035-4658-9e11-ae09c55842e3 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.261241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd66c8d-0a47-4675-8447-cad80d62eab3 · outbound

This paper cites Faithful Multimodal Explanation for Visual Question Answering.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Faithful Multimodal Explanation for Visual Question Answering

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T10:22:23.363302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e26d998-71a2-480e-8c31-7c845a1c71a4 · outbound

This paper cites In: Al-Onaizan, Y., Bansal, M., Chen, Y.N.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI In: Al-Onaizan, Y., Bansal, M., Chen, Y.N

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:22:23.685139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 266b6922-0f66-446e-b528-754e5b28fc72 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:22:23.660997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b686c46d-c677-4b56-92fb-b521676c3c92 · outbound

This paper cites Communications medicine 4(1), 176 (2024).

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Communications medicine 4(1), 176 (2024)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:22:23.633890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9e1e679-3bc3-4c5a-b887-117e93837ff0 · outbound

This paper cites Debiasing Multimodal Large Language Models via Penalization of Language Priors.

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T10:22:23.283748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.