Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T05:36:47.916051Z
Paper Citation Record · LEDGER
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA
As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.27566.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
33 of 33 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved33
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 92d90c14-5eb7-4e2b-a637-cd8bcb9bf0e7 · outbound
This paper cites Lawrence Zitnick, and Devi Parikh.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Lawrence Zitnick, and Devi Parikh
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:44.816566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da340ddf-4a0f-4494-8801-ff5e61ec899e · outbound
This paper cites M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:44.874743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26a126a6-b1d7-4f4e-8e07-73a3da1e33eb · outbound
This paper cites Qwen2.5-VL Technical Report.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Qwen2.5-VL Technical Report
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:44.932686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fc5ce1a-aa09-4eaf-b3f3-95623a3cb927 · outbound
This paper cites Hasan, Viji Datla, Joey Liu, Dina Demner-Fushman, and Henning Müller.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Hasan, Viji Datla, Joey Liu, Dina Demner-Fushman, and Henning Müller
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:45.024731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e0c6ab2-59c4-4489-98e7-58ece449b450 · outbound
This paper cites Hasan, Dina Demner- Fushman, and Henning Müller.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Hasan, Dina Demner- Fushman, and Henning Müller
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:45.087649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2246ef7e-d5c6-45be-bcc4-6ebde0bb7290 · outbound
This paper cites GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:45.204851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7ab98d3-0b8d-4906-b246-946d6cb9b01e · outbound
This paper cites QLoRA: Efficient finetuning of quantized LLMs.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA QLoRA: Efficient finetuning of quantized LLMs
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:45.311481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb3681de-8184-4425-957c-c72a5e0a6e94 · outbound
This paper cites Making the V in VQA matter: El- evating the role of image understanding in visual question answering.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Making the V in VQA matter: El- evating the role of image understanding in visual question answering
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:45.424748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42443079-83b5-4bfd-8d1b-0288c37eeb32 · outbound
This paper cites Weinberger.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Weinberger
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:45.509741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b9a3859-cb68-40c5-af3d-3e97addd96f6 · outbound
This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA PathVQA: 30000+ Questions for Medical Visual Question Answering
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:45.624752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59322fb7-adb5-44cb-bb5d-75324ee4546c · outbound
This paper cites Parameter-efficient transfer learning for NLP.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Parameter-efficient transfer learning for NLP
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:45.744818Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfe7fe3e-de5b-4ef1-849f-2fc60a68f212 · outbound
This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:45.854878Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7965b055-8780-4c4c-a3a8-0caab3789560 · outbound
This paper cites OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:45.936165Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b453fc6-b066-4b52-9bfd-a9d167887a0c · outbound
This paper cites MAIRA-1: A specialised large multimodal model for radiology report generation.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA MAIRA-1: A specialised large multimodal model for radiology report generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:46.055278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34e3cef9-ee20-43df-b480-33cd151c4c0f · outbound
This paper cites Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:46.184871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04364a3b-f633-49ea-95c0-9be6d30c1847 · outbound
This paper cites Med-R1: Reinforcement learning for general- izable medical reasoning in vision-language models.arXiv preprint arXiv:2503.13939, 2025.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Med-R1: Reinforcement learning for general- izable medical reasoning in vision-language models.arXiv preprint arXiv:2503.13939, 2025
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:46.265483Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 722ab380-ddf7-44ed-8f8d-e486edc523fb · outbound
This paper cites ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:46.355250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e39045d-0c3b-4a01-92e0-a4743ae157af · outbound
This paper cites Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:46.444919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aed25e68-6993-4179-bc55-1ae78e9bf0ba · outbound
This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA The Power of Scale for Parameter-Efficient Prompt Tuning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:46.525555Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d06125f-63b5-4124-8d74-44ccb8dcc916 · outbound
This paper cites Llava-med: Training a large language- and-vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems Workshop, 2023.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Llava-med: Training a large language- and-vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems Workshop, 2023
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:46.594750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa4fb88a-665d-4d8c-be34-becd4f9016ef · outbound
This paper cites SLAKE: A semantically-labeled knowledge- enhanced dataset for medical visual question answering.IEEE International Symposium on Biomedical Imaging, 2021.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA SLAKE: A semantically-labeled knowledge- enhanced dataset for medical visual question answering.IEEE International Symposium on Biomedical Imaging, 2021
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:46.717156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27b95a77-2560-4073-9f5d-e33643a84344 · outbound
This paper cites MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:46.863899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 344d7cca-9726-499a-bc97-5f384af472db · outbound
This paper cites Capabilities of Gemini Models in Medicine.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Capabilities of Gemini Models in Medicine
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:46.988591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8def603-deb7-4472-9333-87e62e7df019 · outbound
This paper cites MedGemma Technical Report.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA MedGemma Technical Report
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:47.031623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7de6ce45-c048-4e0d-a5ac-d13ce1527acc · outbound
This paper cites MedGemma 1.5 Technical Report.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA MedGemma 1.5 Technical Report
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:47.096664Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3406929-3acf-446a-b1de-c8fe484833c8 · outbound
This paper cites Towards Generalist Biomedical AI.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Towards Generalist Biomedical AI
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:47.156307Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9351bd6f-1bf1-443f-935a-8267dc6d5672 · outbound
This paper cites Medframeqa: A multi-image medical vqa benchmark for clinical reasoning.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Medframeqa: A multi-image medical vqa benchmark for clinical reasoning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:47.245481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0751bd7-ccf0-4d97-98fe-d715173ee51f · outbound
This paper cites MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:47.351321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92e7ad95-6397-4483-a6b6-c46313310dd8 · outbound
This paper cites MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:47.476627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0789631e-3c8f-41cf-bd61-37211b387376 · outbound
This paper cites Obtaining calibrated probability estimates from decision trees and naive bayesian classifiers.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Obtaining calibrated probability estimates from decision trees and naive bayesian classifiers
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:47.590667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35dbf2d6-873f-41ce-8ac4-43b898e6a146 · outbound
This paper cites Transforming classifier scores into accurate multiclass probability estimates.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA Transforming classifier scores into accurate multiclass probability estimates
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:47.703886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e350a18c-7100-4b6a-a739-d884ae3b07e7 · outbound
This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:47.809660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6a1f3c6-bcce-4ae2-a7fa-3721e66fa241 · outbound
This paper cites MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.
Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:36:47.916051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.