Paper Citation Record · LEDGER

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 12 inbound Pith citation observations for arXiv:2504.20930.

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

pith.paper-citation-record.v1
2504.20930 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:20:20.325856Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:12:18.186958Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy11
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 5fbebb2d-8038-4338-9296-fbb05ff72077 · outbound

This paper cites Openai o3 breakthrough high score on arc-agi-pub.ARCprize.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Openai o3 breakthrough high score on arc-agi-pub.ARCprize

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.850299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eaa369c3-0198-4296-9e73-d77699d53d1c · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.156967Z

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Observation 5cd9c0a4-242e-469b-a72f-e1368d59aa3d · outbound

This paper cites A survey of deepseek models.Authorea Preprints, 2025.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification A survey of deepseek models.Authorea Preprints, 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.838824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e95460f-264d-4d7b-97b0-2fae5d17a02e · outbound

This paper cites Can llms master math? investigating large language models on math stack exchange.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Can llms master math? investigating large language models on math stack exchange

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.826735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9c32915-a540-443b-8972-dd0a4f20f100 · outbound

This paper cites Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.174537Z

Source-reported events for the cited work

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Observation bbc911a2-926f-4b30-9e88-d2b3ea795690 · outbound

This paper cites Spatialvlm: Endowing vision-language models with spatial reasoning capabilities.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Spatialvlm: Endowing vision-language models with spatial reasoning capabilities

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.180706Z

Source-reported events for the cited work

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Observation 813d6d64-c55e-4a4f-be4e-76a0e8c9392e · outbound

This paper cites Managing extreme ai risks amid rapid progress.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Managing extreme ai risks amid rapid progress

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.184811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 129547fd-0b7b-426c-9ca4-eb784f0fd722 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.188914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 769a9fba-54a2-4062-8ad5-56c8fb8cfb3a · outbound

This paper cites App review: the radiology assistant 2.0.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification App review: the radiology assistant 2.0

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.793122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8279a33-cfba-44b0-a309-f711993632ae · outbound

This paper cites Evidence-based guideline for the written radiology report: Methods, recommendations and implementation challenges.Journal of medical imaging and radiation oncology, 57(1):1–7, 2013.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Evidence-based guideline for the written radiology report: Methods, recommendations and implementation challenges.Journal of medical imaging and radiation oncology, 57(1):1–7, 2013

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.780890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa29907c-2793-4d46-8c02-787ce7e2b339 · outbound

This paper cites Radiology report writing skills: A linguistic and technical guide for early-career oral and maxillofacial radiologists.Imaging Science in Dentistry, 50(3):269, 2020.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Radiology report writing skills: A linguistic and technical guide for early-career oral and maxillofacial radiologists.Imaging Science in Dentistry, 50(3):269, 2020

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.768363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1741b45f-611e-4e22-b372-3c16a2952a76 · outbound

This paper cites MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.207698Z

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Observation 48964907-03d9-4196-bd25-4aa192daf994 · outbound

This paper cites Med-r1: Reinforcement learning for generalizable medical reasoning in vision-language models.arXiv preprint arXiv:2503.13939, 2025.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Med-r1: Reinforcement learning for generalizable medical reasoning in vision-language models.arXiv preprint arXiv:2503.13939, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.211873Z

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Observation 17a8aa11-a3a5-4e0d-939d-6e5be02ab3de · outbound

This paper cites GPT-4o System Card.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification GPT-4o System Card

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.215793Z

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Observation 4fc70b7b-e0f0-4155-95c1-64ef58f027da · outbound

This paper cites Let’s verify step by step.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Let’s verify step by step

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.219992Z

Source-reported events for the cited work

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Observation 1495fe4d-661a-4436-835a-6b5e364d8f07 · outbound

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

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.223910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ff8189-6b97-4997-918c-57636fa9673c · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.228191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2c7b2a-d781-4002-8b0d-3ce1a8fe517c · outbound

This paper cites Learning to exploit temporal structure for biomedical vision-language processing.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Learning to exploit temporal structure for biomedical vision-language processing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.740019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1c56613-1722-401c-b2fd-88f797a524ed · outbound

This paper cites Chexagent: Towards a foundation model for chest x-ray interpretation.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Chexagent: Towards a foundation model for chest x-ray interpretation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.727681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18e5957e-aa81-44fb-9254-8b60a59502db · outbound

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

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.241816Z

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Observation d3a286e1-673a-4efb-b8f5-69258f09ba2c · outbound

This paper cites Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia.Radiology: Artificial Intelligence, 1(1):e180041, 2019.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia.Radiology: Artificial Intelligence, 1(1):e180041, 2019

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.246285Z

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Observation 5435b2b2-5b57-4fb7-95e8-5c2659e36a05 · outbound

This paper cites SIIM–ACR Pneumothorax Segmentation.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification SIIM–ACR Pneumothorax Segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.707717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f791a9aa-4f3c-409f-bf98-903bf2b3b1ac · outbound

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

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.255001Z

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Observation e00e1c58-e3c0-4dff-9890-5b21ed2d45bd · outbound

This paper cites Meddr: Diagnosis-guided bootstrapping for large-scale medical vision-language learning.arXiv e-prints, pages arXiv–2404, 2024.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Meddr: Diagnosis-guided bootstrapping for large-scale medical vision-language learning.arXiv e-prints, pages arXiv–2404, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.694253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 970676da-f3a4-4c30-a71f-2ef2b1b01f7a · outbound

This paper cites Deepseek- vl: Towards real-world vision-language understanding, 2024.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Deepseek- vl: Towards real-world vision-language understanding, 2024

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.264300Z

Source-reported events for the cited work

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Observation b67dbb18-f80f-4711-86d1-5bfbfc8f0bad · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge, January 2024.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Llava-next: Improved reasoning, ocr, and world knowledge, January 2024

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.268854Z

Source-reported events for the cited work

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Observation 2c5103d4-641d-4534-b6b8-614c6e5bec31 · outbound

This paper cites Ratescore: A metric for radiology report generation.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Ratescore: A metric for radiology report generation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:20.665263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dce3a636-1c70-416a-be7a-0d7582ac3b3c · outbound

This paper cites MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.277083Z

Source-reported events for the cited work

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Observation 5fa02fda-3554-4d1b-9056-2286083eb94d · outbound

This paper cites HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.281377Z

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Observation edbd45b1-9d19-425b-bd23-9273d7ea6f04 · outbound

This paper cites VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.286412Z

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Observation f06a76fa-b48e-4da2-bf07-a2a9470ae616 · outbound

This paper cites Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.290983Z

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Observation fa903285-f898-422a-9626-a8f44ee0cfbf · outbound

This paper cites VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.295369Z

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Observation cf40a178-c4d3-45fe-a896-83cc5031c9ac · outbound

This paper cites R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.299339Z

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Observation 45471ef5-3609-4bbd-9415-10d9d77ad3c3 · outbound

This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.303459Z

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Observation 09604204-4de1-4578-add6-b315ef43460c · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.307446Z

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Observation 7bd9e53d-3b6a-4906-99a4-793e0bfe00a0 · outbound

This paper cites Proximal Policy Optimization Algorithms.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Proximal Policy Optimization Algorithms

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.311401Z

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Observation 7deca9bd-7ec8-4e74-88d0-7bb094bd347b · outbound

This paper cites Decoupled weight decay regularization.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Decoupled weight decay regularization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.314863Z

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Observation 9b7a6419-2394-4528-a465-89c2ef775635 · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.318497Z

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Observation 8f0437e8-8d04-47ec-9d63-09126dccd821 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.322133Z

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Observation 4ba028df-5c82-4bab-8b0c-f44ba0d397a7 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification HybridFlow: A Flexible and Efficient RLHF Framework

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:20.325856Z

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Pith citing papers

Observation 02e68c0d-16ee-4dc9-a9a4-d616dd4ccaa0 · inbound

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models cites this paper.

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:18.186958Z

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Observation 49a795e5-68b7-4dc8-ba72-0115d26c31e4 · inbound

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models cites this paper.

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 118

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:12.423576Z

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Observation 35df0062-a7a8-4bb6-b39a-c270be674ca0 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 114

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:18.913679Z

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Observation f557e566-3812-4412-939a-6c2b56657f3a · inbound

CX-Mind: A Pioneering Multimodal Large Language Model for Interleaved Reasoning in Chest X-ray via Curriculum-Guided Reinforcement Learning cites this paper.

CX-Mind: A Pioneering Multimodal Large Language Model for Interleaved Reasoning in Chest X-ray via Curriculum-Guided Reinforcement Learning ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T11:00:49.952001Z

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Observation c28b7de1-146c-40a6-b69a-248ec9afb820 · inbound

Teaching AI Stepwise Diagnostic Reasoning with Report-Guided Chain-of-Thought Learning cites this paper.

Teaching AI Stepwise Diagnostic Reasoning with Report-Guided Chain-of-Thought Learning ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T23:45:22.776995Z

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Observation 0102d2c0-7ca8-4cc9-ae67-a03ffcbd5ce6 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 134

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T00:02:25.356182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c849e25-a640-4224-a110-e9135dba7e41 · inbound

GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI cites this paper.

GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-09T20:58:06.865171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1bc46fe-9998-40fb-be08-b04dce70e748 · inbound

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis cites this paper.

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:09:51.770476Z

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EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models cites this paper.

EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:57.308888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dcc06d29-6e81-43d6-8032-fb520aa62a13 · inbound

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning cites this paper.

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 121

Resolution: verified exact; local_arxiv, observed 2026-07-10T18:57:31.621270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c15010bb-96a5-4415-b267-713917e0ddcf · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-14T06:30:16.612345Z

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Observation 0a83260e-6e50-4f44-9f49-bbdb55f46eb0 · inbound

Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation cites this paper.

Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T15:03:47.328504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.