Paper Citation Record · LEDGER

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants

As of 13 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 2 inbound Pith citation observations for arXiv:2412.12661.

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

pith.paper-citation-record.v1
2412.12661 v2

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:53:58.181401Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T02:02:47.472868Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:25:57.968361Z

Reference resolution

76 of 76 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6058d684-f0ea-484d-a743-bea7530e941e · outbound

This paper cites Multimodal biomedical ai.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Multimodal biomedical ai

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.344984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dda12b4e-e200-479f-a8bd-70824dd13808 · outbound

This paper cites The medical segmentation decathlon.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants The medical segmentation decathlon

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.328646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 734bb337-b16a-41df-af5e-931bbce7cb0b · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.821659Z

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Observation e24032de-c581-49e6-9494-d9aad4e787be · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.826873Z

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Observation 04824c7b-d8d3-4a1f-82e7-ce0e3e33855b · outbound

This paper cites One transformer fits all distributions in multi-modal diffusion at scale.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants One transformer fits all distributions in multi-modal diffusion at scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.831765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b752c21-a271-4f74-8509-5d6cc7dcfbc5 · outbound

This paper cites The revolution of multimodal large language models: A survey.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants The revolution of multimodal large language models: A survey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.299563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7cb75f6-39f6-4346-a4fb-aa7420e799cb · outbound

This paper cites RoentGen: Vision-Language Foundation Model for Chest X-ray Generation.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.841992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc5ff028-7759-4ddd-9df0-5619b4b338ee · outbound

This paper cites Huatuogpt-vision, towards injecting medical visual knowledge into multimodal llms at scale, 2024.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Huatuogpt-vision, towards injecting medical visual knowledge into multimodal llms at scale, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.283057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49ed5c40-5b9c-4ee4-bb16-d928b426a4d8 · outbound

This paper cites ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.851646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2f676f6-45d5-49b0-9298-dafa18a46b6f · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.856815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd530d22-f985-4fae-b478-a14fa9736dbb · outbound

This paper cites Taming transformers for high-resolution image synthesis.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Taming transformers for high-resolution image synthesis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.861393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12da7fe6-3fce-468a-927b-06d9a838e3d8 · outbound

This paper cites BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.866401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95faf6f8-04ff-4e7c-a9fe-9ee0b496adfd · outbound

This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.871900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28eee004-545e-4b93-a78c-f21121fc7365 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants LoRA: Low-Rank Adaptation of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.876860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1aed334-147f-4a7d-85f6-ee70716a7acf · outbound

This paper cites Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.247554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b4b30962-1829-4ed6-af3a-488c8b0e6a8c · outbound

This paper cites GPT-4o System Card.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants GPT-4o System Card

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.886422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5715a62c-7d54-485c-bbfc-8cb71cb215e8 · outbound

This paper cites Quilt-1m: One million image-text pairs for histopathology.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Quilt-1m: One million image-text pairs for histopathology

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.232133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b35c260-7e26-4841-88dd-c577c12e78c1 · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.896349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b06b9773-f592-4bcc-82d1-e08173e0747d · outbound

This paper cites Peir digital library: Online resources and authoring system.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Peir digital library: Online resources and authoring system

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.901397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf6e40fc-8f84-4dfa-a4ec-86ee26184bc7 · outbound

This paper cites Chaos challenge-combined (ct-mr) healthy abdominal organ segmentation.Medical Image Analysis, 69:101950, 2021.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Chaos challenge-combined (ct-mr) healthy abdominal organ segmentation.Medical Image Analysis, 69:101950, 2021

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.906102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e23dc62d-342f-4cf2-ab56-2811a4a6ff06 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.910805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdb7c5c9-80df-444a-9f38-dccb86343c02 · outbound

This paper cites A dataset of clinically generated visual questions and answers about radiology images.Scientific data, 5(1):1–10, 2018.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants A dataset of clinically generated visual questions and answers about radiology images.Scientific data, 5(1):1–10, 2018

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.915893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2a6c59c-bb92-43ca-9b78-f44698fef1d6 · outbound

This paper cites Mimic-it: Multi-modal in-context instruction tuning, 2023.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Mimic-it: Multi-modal in-context instruction tuning, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.184595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ffeab88-3272-451d-b868-6bc06ecfa279 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants LLaVA-OneVision: Easy Visual Task Transfer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.925146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdfe7f26-1b13-498c-8243-b27199355a8c · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems, 36, 2024.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Llava-med: Training a large language-and-vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems, 36, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.168875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e4d264b6-7445-4dac-94b1-e195bb86cf23 · outbound

This paper cites Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.934922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c46895-953a-4f9f-9199-30f9e7f89ef1 · outbound

This paper cites Pmc- clip: Contrastive language-image pre-training using biomedical documents.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Pmc- clip: Contrastive language-image pre-training using biomedical documents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.939505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0bb1ac7-b82a-4270-8202-35c4dfc91f44 · outbound

This paper cites Slake: A semantically-labeled knowledge-enhanced dataset for medical visual question answering.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Slake: A semantically-labeled knowledge-enhanced dataset for medical visual question answering

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.944249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c17c83-840a-4403-a13c-f136ab6213cc · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Improved Baselines with Visual Instruction Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.949021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6ce9422-9d3d-40c8-b6b9-1ec44531d420 · outbound

This paper cites Visual Instruction Tuning.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Visual Instruction Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.953983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 237b7a46-057a-4fcd-8767-6c3bab50669e · outbound

This paper cites Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.958991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48293247-e7f6-4c2a-bdf6-243e10c9548f · outbound

This paper cites Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.963829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d5a2295-2ebc-4540-bd3b-b393dab8b637 · outbound

This paper cites MedPix — medpix.nlm.nih.gov.https://medpix.nlm.nih.gov/home.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants MedPix — medpix.nlm.nih.gov.https://medpix.nlm.nih.gov/home

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.121536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 63a11895-075c-453e-9192-1e8b76f5874c · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.974935Z

Source-reported events for the cited work

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Observation d7fb46f2-894a-4473-8722-07e80b8f4564 · outbound

This paper cites Med-flamingo: A multimodal medical few-shot learner.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Med-flamingo: A multimodal medical few-shot learner

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.104499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 88cb461d-956e-4327-b4a5-a5f8b4644f02 · outbound

This paper cites Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.985507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 197436da-9730-462f-8733-6bc2af197728 · outbound

This paper cites Gpt-4v(ision) system card.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Gpt-4v(ision) system card

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.990367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78110334-7be0-4d74-9b96-15779d4f4180 · outbound

This paper cites Gpt-4v(ision) system card, 2023b.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Gpt-4v(ision) system card, 2023b

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.075954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ecd247a9-d96a-4be9-9a14-c58ba735e00e · outbound

This paper cites Gpt-4o-mini.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Gpt-4o-mini

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.060152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78609a61-5550-4919-ac88-1ded081e3369 · outbound

This paper cites Im2text: Describing images using 1 million captioned photographs.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Im2text: Describing images using 1 million captioned photographs

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.043964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a5f3a0b2-ee4f-42d1-8762-60280c19b165 · outbound

This paper cites A survey on biomedical image captioning.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants A survey on biomedical image captioning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.026613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c3dbf298-8342-41c1-a9f0-604e32a3397d · outbound

This paper cites PubMed Central (PMC) — pmc.ncbi.nlm.nih.gov.https://pmc.ncbi.nlm.nih.gov/.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants PubMed Central (PMC) — pmc.ncbi.nlm.nih.gov.https://pmc.ncbi.nlm.nih.gov/

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:59.009357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c6de0f55-f62e-4cae-b771-3ee55984ec59 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in Neural Information Processing Systems, 35:25278–25294, 2022.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in Neural Information Processing Systems, 35:25278–25294, 2022

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.020129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4376af-af18-4eb7-bc98-1297c6d43b17 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Neural Machine Translation of Rare Words with Subword Units

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.025158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ca51b9-df4d-400a-9044-3450ac51e48b · outbound

This paper cites Quilt-llava: Visual instruction tuning by extracting localized narratives from open-source histopathology videos.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Quilt-llava: Visual instruction tuning by extracting localized narratives from open-source histopathology videos

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:58.982137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a668ff7a-6b70-400f-94a4-a3bb3597ec5a · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:58.966580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 22c076c6-40cf-460c-b90c-479d6d5590a3 · outbound

This paper cites Pathmmu: A massive multimodal expert-level benchmark for understanding and reasoning in pathology.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Pathmmu: A massive multimodal expert-level benchmark for understanding and reasoning in pathology

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:58.950400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4c479ebf-513b-43f0-a843-98343df8db0c · outbound

This paper cites Hashimoto.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Hashimoto

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:58.934232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 07c4df25-de93-48a3-b4ee-f33cebd1455b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Gemini: A Family of Highly Capable Multimodal Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.048405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7c8b971-7f9f-4b0a-9a9b-f089b015ed80 · outbound

This paper cites Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.053376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 775bd66a-2076-4ac7-8156-a684690867da · outbound

This paper cites Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.058420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef3322c1-9a3c-4132-afa5-473ec643ea12 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Emu3: Next-Token Prediction is All You Need

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.063098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c202b4f9-5d50-4413-927a-37be881c1d36 · outbound

This paper cites A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.067999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1107c9e5-fd9b-4016-a06f-c0355fc96a78 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Finetuned Language Models Are Zero-Shot Learners

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.074084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 681c4060-bf17-48b7-9df0-fc4d588a4138 · outbound

This paper cites Towards generalist foundation model for radiology, 2023.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Towards generalist foundation model for radiology, 2023

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:58.907672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 994c7737-43ac-4690-a6b3-e02ddc2b8846 · outbound

This paper cites Medtrinity-25m: A large-scale multimodal dataset with multigranular annotations for medicine, 2024.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Medtrinity-25m: A large-scale multimodal dataset with multigranular annotations for medicine, 2024

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:58.891833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f4bf1ef5-07d4-440a-994a-b5ad5dfbae0d · outbound

This paper cites Medicalgpt: Training medical gpt model.https://github.com/shibing624/MedicalGPT, 2023.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Medicalgpt: Training medical gpt model.https://github.com/shibing624/MedicalGPT, 2023

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:58.875717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 695006e4-49d0-4762-8b6b-7a500ca6a7d1 · outbound

This paper cites Multiinstruct: Improving multi-modal zero-shot learning via instruction tuning.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Multiinstruct: Improving multi-modal zero-shot learning via instruction tuning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:58.859655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a27c5622-bf51-4e69-b2c8-f7eec232c878 · outbound

This paper cites Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.097540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d2303c8-d432-45f9-a61a-e65d6be2d735 · outbound

This paper cites Qwen2 Technical Report.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Qwen2 Technical Report

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.102285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc79bc80-7495-4fde-9a89-0b4e35b2e3f9 · outbound

This paper cites LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.107338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13b7897b-cbf7-4b01-a412-a7c583b5ae98 · outbound

This paper cites Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.112361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a7de6b-7378-485f-b38d-338fe0c9ab11 · outbound

This paper cites MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.117240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2225d483-0dab-4e05-8174-14743ee6c6ec · outbound

This paper cites HuatuoGPT, towards Taming Language Model to Be a Doctor.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants HuatuoGPT, towards Taming Language Model to Be a Doctor

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.122044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deec105e-bf65-4d90-983e-e260243826a3 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.126999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3951dd08-1005-4136-9ad6-95b6a4dab81c · outbound

This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.132247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2222b20d-9139-44d3-a3c2-0ebc94a796b4 · outbound

This paper cites LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.137134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d157ae1-cfae-4674-8a90-233e2254ebaf · outbound

This paper cites MonoFormer: One Transformer for Both Diffusion and Autoregression.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.142077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e2c50d-4223-4307-9e18-741075495f1f · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.146912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f934a191-e118-4527-92a5-fb6c6c17a7d0 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:58.151781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 475a6fdc-cdbf-4033-ad04-4db1f5739b26 · outbound

This paper cites an unresolved cited work.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:53:58.842807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2433d6e-a787-4e4e-b78e-009be68dbf46 · outbound

This paper cites an unresolved cited work.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:53:58.825626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 36e5f0eb-afe3-4432-b56c-24cb28f5754d · outbound

This paper cites an unresolved cited work.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:53:58.810290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 367cb785-a457-4473-8808-e00c67195bdd · outbound

This paper cites an unresolved cited work.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:53:58.795074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ea08829a-8123-462f-baeb-83f7cd7a248d · outbound

This paper cites an unresolved cited work.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:53:58.779851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45a91932-ff9d-4afa-844c-e37784607b93 · outbound

This paper cites The answer is: Yes.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants The answer is: Yes

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:53:58.764849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 8b73e521-8eb3-4145-b507-629f1c4b1e2c · inbound

Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI cites this paper.

Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:17:37.029610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 66265407-5544-4847-86fb-d06de8e4832c · inbound

Aloe-Vision: Robust Vision-Language Models for Healthcare cites this paper.

Aloe-Vision: Robust Vision-Language Models for Healthcare MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:25:57.970152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.