Paper Citation Record · LEDGER

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models

As of 4 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2604.08815.

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

pith.paper-citation-record.v1
2604.08815 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:56:16.568462Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T00:57:35.205227Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact10
verified fuzzy11
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc63a1a0-852a-4fd6-ae75-47a260641b51 · outbound

This paper cites A comprehensive survey on the trustworthiness of large language models in healthcare.arXiv preprint arXiv:2502.15871, 4.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models A comprehensive survey on the trustworthiness of large language models in healthcare.arXiv preprint arXiv:2502.15871, 4

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:50:59.536057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c908649-5975-412b-9170-496d777f81da · outbound

This paper cites Emerging trends in multi- modal artificial intelligence for clinical decision support: A narrative review.Health Informatics Journal, 31(3): 14604582251366141.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Emerging trends in multi- modal artificial intelligence for clinical decision support: A narrative review.Health Informatics Journal, 31(3): 14604582251366141

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.816806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5b925679-dc0c-454d-8a62-898cce802656 · outbound

This paper cites arXiv preprint arXiv:2512.16201 (2025).

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models arXiv preprint arXiv:2512.16201 (2025)

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:50:59.527586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b9440404-5816-488d-bf83-33a8dcad6d2d · outbound

This paper cites Medical phrase ground- ing with region-phrase context contrastive alignment.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Medical phrase ground- ing with region-phrase context contrastive alignment

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.827769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eced046a-5ff4-4790-8a8c-6e5e7b1257c2 · outbound

This paper cites Multimodal computing in healthcare: Enhancing clinical decision-making through data fusion.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Multimodal computing in healthcare: Enhancing clinical decision-making through data fusion

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.824923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 173760c1-372f-4ea0-9cb7-64d97a654e12 · outbound

This paper cites Med-glip: Advancing medical language-image pre-training with large-scale grounded dataset.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Med-glip: Advancing medical language-image pre-training with large-scale grounded dataset

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:50:59.375400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dc371560-6824-4478-a754-098042cf0f08 · outbound

This paper cites an unresolved cited work.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-17T12:51:47.822374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e92f4b52-4b93-4d15-9da2-98f44ec560e7 · outbound

This paper cites Vision-language mod- els for medical report generation and visual question answer- ing: A review.Frontiers in artificial intelligence, 7:1430984.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Vision-language mod- els for medical report generation and visual question answer- ing: A review.Frontiers in artificial intelligence, 7:1430984

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.820075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation edf6cd4c-2d94-41ff-a379-4b7c392eca3d · outbound

This paper cites A survey on hal- lucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Infor- mation Systems, 43(2):1–55.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models A survey on hal- lucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Infor- mation Systems, 43(2):1–55

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.836956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8df619ee-4d27-4366-b392-c727962f524f · outbound

This paper cites Seeing the trees for the forest: rethinking weakly-supervised medical visual grounding.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Seeing the trees for the forest: rethinking weakly-supervised medical visual grounding

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.833884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1e8f7d9e-c029-4fcf-b863-72bcd95b5ad5 · outbound

This paper cites Vision Language Models in Medicine.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Vision Language Models in Medicine

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:50:59.513407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 017301d7-5570-43dc-89e1-3e77e569ed9f · outbound

This paper cites arXiv preprint arXiv:2503.13939 , year=.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models arXiv preprint arXiv:2503.13939 , year=

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:50:59.482224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e9d1729e-3ffc-4be9-a435-96bd50d67474 · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Llava-med: Training a large language-and-vision assistant for biomedicine in one day

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.848542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2f0c8e08-a9a6-4b9b-a11b-94ccc2b771e7 · outbound

This paper cites AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:50:59.420326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 28a627d3-143e-4e37-a734-ab8b490f6587 · outbound

This paper cites From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-11T07:50:59.436766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fbab2c31-e2f0-4f72-956c-9b2503d8fe82 · outbound

This paper cites The future of radiology: The path towards mul- timodal ai and superdiagnostics.European Journal of Radi- ology Artificial Intelligence, 2:100014.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models The future of radiology: The path towards mul- timodal ai and superdiagnostics.European Journal of Radi- ology Artificial Intelligence, 2:100014

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.840189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5e3cc0c7-f40d-49eb-aef1-62c18e545908 · outbound

This paper cites Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:50:59.555057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12c276d5-f2b2-4d71-968c-a26fdd414c91 · outbound

This paper cites Who is re- sponsible? the data, models, users or regulations? a compre- hensive survey on responsible generative ai for a sustainable future.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Who is re- sponsible? the data, models, users or regulations? a compre- hensive survey on responsible generative ai for a sustainable future

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:50:59.547262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c4ab69ad-30dc-4ba6-a17b-f4aba70745ae · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in Neural Information Process- ing Systems (NeurIPS).

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Chain-of-thought prompting elicits reasoning in large language models.Advances in Neural Information Process- ing Systems (NeurIPS)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.830775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3a73f7c-0da0-46d0-807e-31f0fd06ac75 · outbound

This paper cites Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:50:59.365355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b0deed74-a62a-4262-88ec-2aa75474bd77 · outbound

This paper cites Multimodal Large Language Models for Medicine: A Comprehensive Survey.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Multimodal Large Language Models for Medicine: A Comprehensive Survey

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:50:59.382029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4bd6ff36-a363-424b-9b36-9b4d93bd616e · outbound

This paper cites Beyond accuracy: Evaluating visual grounding in multimodal medical reasoning.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Beyond accuracy: Evaluating visual grounding in multimodal medical reasoning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:50:59.497679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6ef0ace3-43a2-44ad-97c5-10eebf60eead · outbound

This paper cites BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:50:59.452214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3652f593-4d0d-4fb6-9fbd-ca12ce27aa59 · outbound

This paper cites Can we trust ai doctors? a survey of medical hallucination in large language and vision-language models.Findings of the Asso- ciation for Computational Linguistics (ACL).

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Can we trust ai doctors? a survey of medical hallucination in large language and vision-language models.Findings of the Asso- ciation for Computational Linguistics (ACL)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.846215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 170e7483-3a73-4a33-870d-ce992c8f523a · outbound

This paper cites Uncertainty-aware medical diagnostic phrase identification and grounding.IEEE Transactions on Pattern Analysis and Machine Intelligence.

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models Uncertainty-aware medical diagnostic phrase identification and grounding.IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T12:51:47.843457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 8bfc4113-58e2-4ecc-8dbd-67a041285afb · inbound

Do Medical Vision Language Models Actually See? A Counterfactual Grounding Framework and Hard-Negative Contrastive Training for Visually-Reliant Medical VLMs cites this paper.

Do Medical Vision Language Models Actually See? A Counterfactual Grounding Framework and Hard-Negative Contrastive Training for Visually-Reliant Medical VLMs Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T00:57:35.205227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.