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Paper Citation Record · LEDGER

MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2408.02900.

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

pith.paper-citation-record.v1
2408.02900 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:54.948133Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:37.756724Z

Reference resolution

0 of 0 outbound references displayed

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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 148b949b-4a88-499b-8e3e-8511c7143595 · inbound

Time-to-Event Pretraining for 3D Medical Imaging cites this paper.

Time-to-Event Pretraining for 3D Medical Imaging MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 20

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unresolved
no resolver link, observed 2026-08-12T20:48:55.194897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:48:55.194897Z digest=sha256:d6f1ec75329bf6f08fafc31a981ab4a517140c7f3d5642b76feee070fca2fd03

Observation 14d4b02c-e293-4676-b9a0-418c9eb5e8ad · inbound

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge cites this paper.

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 18

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no resolver link, observed 2026-08-12T17:08:41.659680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:08:41.659680Z digest=sha256:d9e86daff634bde6e38f8db129d768d4e8f37e5c0bf7659e59bba2758a6f6d1c

Observation 95d0985f-facc-4500-99cf-a5463af0032f · inbound

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI cites this paper.

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 69

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no resolver link, observed 2026-08-12T15:16:27.908322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:16:27.908322Z digest=sha256:39feb3c129e8c10213947cbff0664e3e38e7b1ebdaaeb0e39e4d727d75f15043

Observation f2812be8-991c-44b1-896b-06c9aad5cb16 · inbound

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering cites this paper.

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 23

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no resolver link, observed 2026-08-12T12:38:46.359637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:38:46.359637Z digest=sha256:d1bd95df114c3660f5d3301eaff8f929be5f8a56223bbd1c231ecf4842bae2a3

Observation 082c9822-e4db-44ed-b65e-ce4b053c6d0c · inbound

MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization cites this paper.

MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 27

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unresolved
no resolver link, observed 2026-08-11T20:04:44.152784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:04:44.152784Z digest=sha256:8f0989a27f840f28e1add7b1eeb755e7c55366440d99ca1d4336b81b98804926

Observation ff659ca5-dbe8-4c77-9a13-c63611df12b0 · inbound

Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback cites this paper.

Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 61

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no resolver link, observed 2026-08-10T22:33:45.334968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:33:45.334968Z digest=sha256:e9f2ecff76c1290198ddc3f8f8a69d3a652dc920291ddd1d8e32b3552a27b76d

Observation b8079369-bdc7-406e-a743-5feb1c43eb59 · inbound

From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine cites this paper.

From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 135

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no resolver link, observed 2026-08-07T22:13:31.695938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:13:31.695938Z digest=sha256:99d87b65837599b10b720c38801e52098c3aa059ddf7a4b0cf6ad9e4e4809294

Observation 5b5cb301-92c4-4b41-afca-fdd8b84bfce4 · inbound

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

Multimodal Large Language Models for Medicine: A Comprehensive Survey MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 258

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no resolver link, observed 2026-08-16T05:32:54.948133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:32:54.948133Z digest=sha256:5c17414e7f9207472d8a10be65030cec5d2cbf8701391ec5e6bbccc876b07747

Observation aeb73310-18a3-4bf4-8532-2d37fae37aa8 · inbound

Joint Generalized Cosine Similarity: A Novel Method for N-Modal Semantic Alignment Based on Contrastive Learning cites this paper.

Joint Generalized Cosine Similarity: A Novel Method for N-Modal Semantic Alignment Based on Contrastive Learning MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 16

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no resolver link, observed 2026-08-15T23:55:36.072451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:55:36.072451Z digest=sha256:2dcc0643f9404ef8f750d0ea87235b176bbf4eebfe0d1d8671d5e87af900c641

Observation 7486be58-79b5-478a-b107-c31d53858cc7 · inbound

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models cites this paper.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 2025

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no resolver link, observed 2026-08-07T14:31:34.221857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:34.221857Z digest=sha256:911f63111472ba78de4959a569e29ad13e5d74aaab5bbe30790e0ac8dc97b558

Observation 4c4cdb70-7b00-4997-831d-c99d919ca950 · inbound

KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations cites this paper.

KokushiMD-10: Benchmark for Evaluating Large Language Models on Ten Japanese National Healthcare Licensing Examinations MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 23

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no resolver link, observed 2026-08-07T05:39:42.506184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:42.506184Z digest=sha256:f51140177fbca5957d5f224578f464b36f7e3398106c5335cc597e4e1a176f5f

Observation 31afff91-5c0d-4f8b-851b-ed573b3c889e · inbound

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation cites this paper.

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 35

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no resolver link, observed 2026-08-06T22:09:09.710112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:09:09.710112Z digest=sha256:77756605c2d759af79c621df59ff832a1160544676be69c6e89494b5ef590aa7

Observation 93861830-7f8f-4e38-842d-996127281bf4 · inbound

Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation cites this paper.

Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 30

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unresolved
no resolver link, observed 2026-08-06T21:55:46.934947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:46.934947Z digest=sha256:9f04126b085c24a32defb4b76d15833f07d672837f2b3a042ee2b9c982882088

Observation 60298160-bb4a-4d03-9e2c-2e47c5625230 · inbound

Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning cites this paper.

Constructing Ophthalmic MLLM for Positioning-diagnosis Collaboration Through Clinical Cognitive Chain Reasoning MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 35

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no resolver link, observed 2026-08-06T14:51:09.886269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:09.886269Z digest=sha256:36ddf327e74add37a9b4cb89889650d14039760c61e045fac56816b7a95f9457

Observation 42125ddc-4570-45f7-b84c-5dba5e666f68 · inbound

MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine cites this paper.

MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 63

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no resolver link, observed 2026-08-06T04:50:45.306820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:50:45.306820Z digest=sha256:f242b5114e60fba71b34049bdb7f00e21a9ed1c75702ab7d15da58696bb77f49

Observation 6ad3ebbe-31a3-4e6f-b5f6-27b38b21d7d6 · inbound

MEDIC-AD: Towards Medical Vision-Language Model's Clinical Intelligence cites this paper.

MEDIC-AD: Towards Medical Vision-Language Model's Clinical Intelligence MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 57

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no resolver link, observed 2026-08-02T17:19:39.198283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:19:39.198283Z digest=sha256:f50f5060e35131b5cd1a90d52a297b425a3259294f66325568f95f987cf47de3

Observation f2720386-61c2-4ace-8c1f-00262c4aa714 · inbound

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework cites this paper.

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 80

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metadata mismatch
arxiv_id, observed 2026-05-10T05:36:01.592487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T05:34:30.894093Z digest=sha256:8b2cecb0e5a440b49b0c243bca048b9827a482903ba862980822b2fd9bfb462e

Observation b296d591-f873-4b7d-b1aa-5218d466808f · inbound

CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs cites this paper.

CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 40

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verified exact
arxiv_id, observed 2026-05-11T18:41:09.507531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T14:49:53.357083Z digest=sha256:a92e7ebfb08e31d1853a0bbd63e626780d51f7c7fcd28b30be476c93e5d18890

Observation f30cdb93-a428-468e-8bbf-b0722b1f2d85 · inbound

MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models cites this paper.

MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 68

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verified exact
arxiv_id, observed 2026-07-04T06:29:37.758539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T14:25:39.363350Z digest=sha256:d9ae4ed7957c7917a38442b64470f6aaab2485e69579b6deb6cbff47429f5fc8

Observation 8d3173ed-4c53-4462-8f65-a51b27e12d82 · inbound

Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning cites this paper.

Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 8

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metadata mismatch
arxiv_id, observed 2026-07-01T10:25:41.013976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-01T05:36:43.609602Z digest=sha256:4c20afd3e111f7d3c0e1ecaa9e2c52d8f21ddad3367bee655353cacb8fe4a576

Observation 8cce3545-dddb-481e-a310-bfd55eb920c7 · inbound

Towards Enhancing 3D Spatial Reasoning in Medical Multimodal Large Language Models cites this paper.

Towards Enhancing 3D Spatial Reasoning in Medical Multimodal Large Language Models MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 29

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no resolver link, observed 2026-08-02T03:31:46.899960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:31:46.899960Z digest=sha256:8722eadfbccb911f70f977c925df6874bd56ed1a20862c6dd2d5d3464fd698c5

Observation b2f74418-742a-45d2-9204-429682105ab2 · inbound

TextSLIP: Text Self-Supervised CLIP for Medical Report Generation cites this paper.

TextSLIP: Text Self-Supervised CLIP for Medical Report Generation MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

Reference 16

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no resolver link, observed 2026-08-01T06:13:04.787463Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:13:04.787463Z digest=sha256:55703213ade86d7142b2f2b6b7d75a7a189e76e0255ad02bd09ae76cd293b294