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Paper Citation Record · LEDGER

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement

As of 15 August 2026, this Paper Citation Record lists 100 of 182 outbound references and 0 inbound Pith citation observations for arXiv:2608.03890.

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

pith.paper-citation-record.v1
2608.03890 v1

Coverage vector

measured 100 of 182 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:23:59.043303Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 182 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved91
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c963b09-de5e-4285-9fe2-289a572eb1d4 · outbound

This paper cites 2026 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2026 , eprint=

Reference 1

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source=arxiv_source observed=2026-08-05T10:23:58.575350Z digest=sha256:e43cbf2c8bc87ca5772b44aa2088616da98f0508bc6c96756016a9e8d4edeef2

Observation 57c00ac8-3d19-45a4-a3b5-0d97f15bfb62 · outbound

This paper cites 2025 , url=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2025 , url=

Reference 2

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source=arxiv_source observed=2026-08-05T10:23:58.580292Z digest=sha256:7fb3521feb4dfab0115d7e0ab5f2e3de56b9bedecb6806f4bf751de0e0facc44

Observation 53e927d9-403a-441f-9c4b-947541a4ba88 · outbound

This paper cites 2025 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2025 , eprint=

Reference 3

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source=arxiv_source observed=2026-08-05T10:23:58.584964Z digest=sha256:c6cc8c001fc23046d4c3c39604c733d088c95a39aed92eb7c62d1e5a76611ac3

Observation ee7d7989-658b-4fc4-843b-34add061bd7c · outbound

This paper cites 2026 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2026 , eprint=

Reference 4

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source=arxiv_source observed=2026-08-05T10:23:58.589495Z digest=sha256:71e99df3be7692308a06e6812ebda536543ae20fe33a4ad3febc97c7baeffad1

Observation 6091bdfe-cb0a-495b-aef4-fe669e699249 · outbound

This paper cites 2025 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2025 , eprint=

Reference 5

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source=arxiv_source observed=2026-08-05T10:23:58.594025Z digest=sha256:aa41598777e46055bdc807d80593949f41a6efb39daa7fd5b1532ea4447b5635

Observation 4ed87a01-3a11-4cb0-8a6d-5e35d0792b62 · outbound

This paper cites GREEN : Generative Radiology Report Evaluation and Error Notation.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement GREEN : Generative Radiology Report Evaluation and Error Notation

Reference 6

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source=arxiv_source observed=2026-08-05T10:23:58.598648Z digest=sha256:cf7052c1b30bd14798635cea45a1c27dce2a100ce4f00939400ea50b9994e74e

Observation 7b421c28-e25d-481f-8275-71f6c8a1ebd1 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 7

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source=arxiv_source observed=2026-08-05T10:23:58.603829Z digest=sha256:150ed203ad1145309fd2da1020c6cb0ab6388f075cfd3e2bb5d72e647c80e578

Observation a3384f06-fa8c-4853-a431-14b1dcd7e036 · outbound

This paper cites Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen-Zhu and Yuanzhi Li and Shean Wang and Lu Wang and Weizhu Chen , booktitle=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen-Zhu and Yuanzhi Li and Shean Wang and Lu Wang and Weizhu Chen , booktitle=

Reference 8

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source=arxiv_source observed=2026-08-05T10:23:58.608225Z digest=sha256:732ce0bd18265dd0ed18c4d96fa5156fb3293739508ad0c3d7238d1122e3c770

Observation 775e011b-f474-4ede-a098-5d76f50fb9bb · outbound

This paper cites Weinberger and Yoav Artzi , booktitle=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Weinberger and Yoav Artzi , booktitle=

Reference 9

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source=arxiv_source observed=2026-08-05T10:23:58.612401Z digest=sha256:0f36cfb45cc8805e4bd94a4815578a5c8fa625c723ddd76fa1c55a574012473e

Observation 3916aeae-da6d-4378-bf40-0e09fe755e3c · outbound

This paper cites Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards

Reference 10

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source=arxiv_source observed=2026-08-05T10:23:58.616633Z digest=sha256:a8c3472f4e24fcb2263825d408aff2d8e81121cf739f2867510311bde19c0959

Observation bfdc759d-c2d3-4354-9bb9-d5d35ffa76e9 · outbound

This paper cites Topol and Pranav Rajpurkar , title =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Topol and Pranav Rajpurkar , title =

Reference 11

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source=arxiv_source observed=2026-08-05T10:23:58.621270Z digest=sha256:4cd93805a16d5e4de0dcffbe2a8f189c1ef28ec95365782d1330812c4c96f60a

Observation cdd1111a-8a14-4503-9b36-e5d34f4c5a94 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 12

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source=arxiv_source observed=2026-08-05T10:23:58.625484Z digest=sha256:fbb858e175168232d143e70b5965f9b6fd2eb259e06bcd1636af71d0ff638863

Observation ee3600b2-8569-4df4-85c8-b0265fed3e6a · outbound

This paper cites and Miller, Josh and Huang, Ouwen and Rajpurkar, Pranav , booktitle =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement and Miller, Josh and Huang, Ouwen and Rajpurkar, Pranav , booktitle =

Reference 13

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source=arxiv_source observed=2026-08-05T10:23:58.630578Z digest=sha256:a18ab3b939eb6189da04a6edeae18a867e46355591c21954ddab082c17599542

Observation 1838c226-4d05-4dbc-9d42-635921f6a58c · outbound

This paper cites GitHub repository , howpublished =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement GitHub repository , howpublished =

Reference 14

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source=arxiv_source observed=2026-08-05T10:23:58.634826Z digest=sha256:a2f372b83303d187c830e010775de1bb8d161afa48034263ca4209fcbd99f030

Observation 60985341-db71-43e4-9356-286b2c72eede · outbound

This paper cites 2026 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2026 , eprint=

Reference 15

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source=arxiv_source observed=2026-08-05T10:23:58.638969Z digest=sha256:6a2c524ba7124c6747564a8f750c1b76dd665c68dcb4c1d57402cd9b8f8c8017

Observation 4857c8a0-716d-4aed-af3d-4778950c6d43 · outbound

This paper cites 2025 , eprint =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2025 , eprint =

Reference 16

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source=arxiv_source observed=2026-08-05T10:23:58.643142Z digest=sha256:9773cfc4e2331e9b006d7536362566f223ea90d62d7e496665cfe06fe649ec5e

Observation 82f44104-723c-4cac-9bcb-9b8d325c1a89 · outbound

This paper cites 2602.23276 , archivePrefix =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2602.23276 , archivePrefix =

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.647252Z digest=sha256:02953d2f70d110521b357d6d913643661756f347f83ea50a055129436f96bcf6

Observation 8be83485-f4f6-494b-8c1d-c9b58ce89310 · outbound

This paper cites Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling

Reference 18

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source=arxiv_source observed=2026-08-05T10:23:58.651418Z digest=sha256:c0b08026a4b83faef49a3e530b724a04e46bd3d42b2d54862a7fb38e853ab230

Observation 8c5840c6-3cfe-4bfc-8996-b72b9e0548d7 · outbound

This paper cites an unresolved cited work.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Unresolved cited work

Reference 19

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Observation 70b8bf6d-351d-404d-96ea-d8a45fe77061 · outbound

This paper cites and Gonzalez, Joseph and Zhang, Hao , booktitle =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement and Gonzalez, Joseph and Zhang, Hao , booktitle =

Reference 20

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source=arxiv_source observed=2026-08-05T10:23:58.660652Z digest=sha256:f689cec759982367e5966ec4dc702950b298d8799f42faae3dbba7d4d61481c5

Observation 616d8bed-0e88-4a81-9f4f-993133401021 · outbound

This paper cites Guyon and A.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Guyon and A

Reference 21

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source=arxiv_source observed=2026-08-05T10:23:58.666003Z digest=sha256:d3f0138786c61a4d148cbd8446f202eaaf9f93c3b73d32b04a8192f4a9ca8740

Observation dcc86f6e-5a79-453a-8a4d-eecdc51d3d9b · outbound

This paper cites Guyon and C.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Guyon and C

Reference 22

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source=arxiv_source observed=2026-08-05T10:23:58.671179Z digest=sha256:c132fba7ba819b4a522d7cd035b934bf6932dd51342d1d32fd9889b290dfd0eb

Observation 6a368145-e5be-4a86-aba0-853c31f44a5b · outbound

This paper cites and Mosquera, C.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement and Mosquera, C

Reference 23

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source=arxiv_source observed=2026-08-05T10:23:58.675914Z digest=sha256:434257aa45190f3bd16944dd856ab205f592c13e3f0ccfc36378e53a713bee4f

Observation d91baf39-1913-4b2c-a2ac-d37f16fd3298 · outbound

This paper cites Exploring scalable medical image encoders beyond text supervision.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Exploring scalable medical image encoders beyond text supervision

Reference 24

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source=arxiv_source observed=2026-08-05T10:23:58.680147Z digest=sha256:db5102ab4a205ae9e3b63ffa40005b977a5640c3726de70c74d7c3129c2eaf30

Observation 8f395c9e-5030-4bf5-812b-c81d1c6d5ab1 · outbound

This paper cites Qwen2 Technical Report.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Qwen2 Technical Report

Reference 25

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source=arxiv_source observed=2026-08-05T10:23:58.684912Z digest=sha256:98643cb7d25d700935bed04a44de10d55a5921b6a16f493f4d26fc0ece355499

Observation f332af81-6d59-4c5b-8530-fe948b37de60 · outbound

This paper cites Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards

Reference 26

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local_arxiv, observed 2026-08-05T10:24:00.410691Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.689673Z digest=sha256:b11c2b904398242aaca8436c23a5ec264df8d0889cd9f29f42db05f1a8dfa921

Observation fc8e31bf-cc12-4662-a61b-4ff377d1b848 · outbound

This paper cites Findings of the Association for Computational Linguistics ACL 2024 , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Findings of the Association for Computational Linguistics ACL 2024 , pages=

Reference 27

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source=arxiv_source observed=2026-08-05T10:23:58.694462Z digest=sha256:79dac58e4e8a2f985722ff42aa6749105aa175f90253bf6ee4f7fb71278f1e90

Observation 6e7c0863-8723-4bf2-bf57-18de79ecb603 · outbound

This paper cites and others , title =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement and others , title =

Reference 29

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no resolver link, observed 2026-08-05T10:23:58.705135Z

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source=arxiv_source observed=2026-08-05T10:23:58.705135Z digest=sha256:1a838b54e1b70a9e312cae1014580dbb83b3848a03038bbba0741651b72d66f5

Observation 48e9656b-0955-4de4-88fa-1227c6df429c · outbound

This paper cites 2025 , url =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2025 , url =

Reference 30

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source=arxiv_source observed=2026-08-05T10:23:58.709584Z digest=sha256:e155a6016a504f49083c7e70d77d3ff8c67171848663444bb4206327e363f483

Observation 587f91e6-3a68-41bb-9ce7-8babed255647 · outbound

This paper cites ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation

Reference 31

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Observation 1b16df4a-e94b-4440-b41d-af39869b2662 · outbound

This paper cites 1895 , publisher=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 1895 , publisher=

Reference 32

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source=arxiv_source observed=2026-08-05T10:23:58.718959Z digest=sha256:10adf6f704d9bd8b12e64b3c19a3ee7ddb9e34d83710370a7199e401e1f38b9e

Observation b91173c2-39b4-4fc7-85ad-c7b0d8fe6004 · outbound

This paper cites Boosting Radiology Report Generation by Infusing Comparison Prior.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Boosting Radiology Report Generation by Infusing Comparison Prior

Reference 33

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verified exact
doi, observed 2026-08-05T10:23:59.587664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.723895Z digest=sha256:abf288df72475a788bd37662a8f99205a65f34556ebc6f8dea1cebad81740368

Observation 3d76dba4-6a06-4b12-9990-92ef366a61fd · outbound

This paper cites Nature Biomedical Engineering , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Nature Biomedical Engineering , pages=

Reference 34

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source=arxiv_source observed=2026-08-05T10:23:58.728552Z digest=sha256:4c0389365b5a122ee61ad973f0e1c657c5ef3d327de4a55ed1c7576739b51de2

Observation 7160d776-e763-42d7-9a5a-cb4a01affffe · outbound

This paper cites AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

Reference 35

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Observation 19c1dbf3-2c0f-498a-9e62-39d6137d659e · outbound

This paper cites Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies , YEAR =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies , YEAR =

Reference 36

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source=arxiv_source observed=2026-08-05T10:23:58.737286Z digest=sha256:ce7815fae386954345d2df24ec38b6ccb4e8bfc7ed240fbba90b6d688eec3a86

Observation c1145889-7f2c-4f92-b5a9-b0bc7cb1606d · outbound

This paper cites 2024 , organization =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2024 , organization =

Reference 37

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source=arxiv_source observed=2026-08-05T10:23:58.741747Z digest=sha256:dc8e7475a4f24ee8e7a4f81751be0e44e9c47c0228f2af25c562f77252b25038

Observation 83429136-7f84-48c4-ae86-8b3484327144 · outbound

This paper cites ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding

Reference 38

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source=arxiv_source observed=2026-08-05T10:23:58.746697Z digest=sha256:0e5edb843914497ee6c0a4590e9f0eff575028a0ec2269c8ce7d843dd851db0d

Observation 39d7793c-cea6-4c10-99fb-804b8bbb42ae · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 39

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source=arxiv_source observed=2026-08-05T10:23:58.751318Z digest=sha256:d1ca115309f20a3a94101ae1f64adbb9d8649d80f25e18b287e9f5366a452d79

Observation 557bfb87-be0a-4871-8410-9040ced56607 · outbound

This paper cites 2019 , url =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2019 , url =

Reference 40

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no resolver link, observed 2026-08-05T10:23:58.755511Z

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source=arxiv_source observed=2026-08-05T10:23:58.755511Z digest=sha256:0fe096c99b8fa96d35489ceeb1fd1846e8c775785a6243cfc0b0094c55770648

Observation d7884654-d995-4db8-b378-a46ce56af84b · outbound

This paper cites MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models

Reference 41

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local_arxiv, observed 2026-08-05T10:24:00.346202Z

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source=arxiv_source observed=2026-08-05T10:23:58.759706Z digest=sha256:ae08fa236c78be478b0f38ecec1f84bbf62327c3247ace6eee98f533911389bf

Observation e30f860b-cb17-4b96-baa0-a14df1fea35c · outbound

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

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 42

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source=arxiv_source observed=2026-08-05T10:23:58.764135Z digest=sha256:dadb9764eebcaef992e291925d414ce0539aa3310fd226500844094323e9e39f

Observation b2b4393c-a750-45d2-80d0-845e6fedb83b · outbound

This paper cites Hidden-Rad Evaluation Scheme of NTCIR-18 , year =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Hidden-Rad Evaluation Scheme of NTCIR-18 , year =

Reference 43

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source=arxiv_source observed=2026-08-05T10:23:58.769454Z digest=sha256:b37d75a55f98e3bfcbf1be00f04d68ea53674835ae579ba4b4a6a6ef55c30325

Observation aa5d6788-6a66-4af9-99e8-7f54815423fc · outbound

This paper cites Diagnostics , volume =.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Diagnostics , volume =

Reference 44

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verified exact
doi, observed 2026-08-05T10:23:59.573377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.774422Z digest=sha256:f30774d521f1ec55c6f6bd9bcbb2808a5e9eb559805122966d99544f1f1cc1b4

Observation 20d9a67a-367f-4a82-8c37-c11c3ea23c57 · outbound

This paper cites Medical image analysis , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Medical image analysis , volume=

Reference 45

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source=arxiv_source observed=2026-08-05T10:23:58.778943Z digest=sha256:dddaa95598e3a50288fa1c239663a24f398b72c1320435b8acb9277c59c6d8d7

Observation b5ae277c-c7f5-44da-b11f-0b53a4f58123 · outbound

This paper cites PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation

Reference 46

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source=arxiv_source observed=2026-08-05T10:23:58.782963Z digest=sha256:0d3c9842fe6019eeb9f322b8389c41bbf2429b19079f3cab5f239cec3044ee9b

Observation b87b9e31-30c1-4a71-8e87-8766fd2977f3 · outbound

This paper cites GREEN: Generative Radiology Report Evaluation and Error Notation.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement GREEN: Generative Radiology Report Evaluation and Error Notation

Reference 47

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source=arxiv_source observed=2026-08-05T10:23:58.787536Z digest=sha256:69e359512f3f14e530fa69e81c6346a3a1ba091c0e38d56c72a3e43f6b6e6ad8

Observation 82b7f864-2be0-49f4-91f4-34f85c951158 · outbound

This paper cites European conference on computer vision , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement European conference on computer vision , pages=

Reference 48

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source=arxiv_source observed=2026-08-05T10:23:58.792511Z digest=sha256:90d71b8b904c40d87789c56bd156595c9c84c93446c1f6dbb12913fb0686334c

Observation 2d74066e-50ba-4ee2-9b28-aefd3bcac16b · outbound

This paper cites European Conference on Computer Vision , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement European Conference on Computer Vision , pages=

Reference 49

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source=arxiv_source observed=2026-08-05T10:23:58.797707Z digest=sha256:065f8aa407bc9ba1d7436c597ff6fb85e2328625e38bc4b8342e9af96a180154

Observation 4cc17f5b-9a8c-4403-b87c-3d994d363339 · outbound

This paper cites European journal of radiology , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement European journal of radiology , volume=

Reference 50

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source=arxiv_source observed=2026-08-05T10:23:58.802021Z digest=sha256:8ff0e214e261976dc494f59f59ea4786a31a6854749650093aaf18e0dc4cba8b

Observation b8e7a7ca-2814-4ad9-97a9-64e12cdc9c86 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , year=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Proceedings of the IEEE conference on computer vision and pattern recognition , year=

Reference 51

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source=arxiv_source observed=2026-08-05T10:23:58.806160Z digest=sha256:b741a39fd110500f28bb555aba7d0c120d0b12721cf27ebeef8cd8bc0525a2e7

Observation 08e692be-741c-4d02-a8ee-26db0689cf0d · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 52

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no resolver link, observed 2026-08-05T10:23:58.810976Z

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source=arxiv_source observed=2026-08-05T10:23:58.810976Z digest=sha256:39d5fd653f428e92dbd9226c00ab5814bc1d6a0f480bc7b116b9f602393f38ed

Observation 40a3b274-19ce-4c01-aa53-157ec49cc4cf · outbound

This paper cites Nature , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Nature , volume=

Reference 53

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no resolver link, observed 2026-08-05T10:23:58.815302Z

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source=arxiv_source observed=2026-08-05T10:23:58.815302Z digest=sha256:d0b2a261269e9684a1d38461db2438f4ba9e343b37697d84186795d312f3474a

Observation df6d3539-0451-423b-a9c8-96f282045cb8 · outbound

This paper cites NEJM AI , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement NEJM AI , volume=

Reference 54

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no resolver link, observed 2026-08-05T10:23:58.819581Z

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source=arxiv_source observed=2026-08-05T10:23:58.819581Z digest=sha256:dc4bb917d7390fb7174e32e4f3de377ac30e667ec74834236553f8eb19e3aad3

Observation 482bf65c-fc23-4d87-9983-ec525da1b991 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Advances in Neural Information Processing Systems , year=

Reference 55

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no resolver link, observed 2026-08-05T10:23:58.824180Z

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source=arxiv_source observed=2026-08-05T10:23:58.824180Z digest=sha256:c041a6a3e72b573f41e5dbfa109b0a63a8e5435bb4cb6a4be42762c4fc00ac0a

Observation 6bfc62c6-dc74-4bbc-abef-5619add8f556 · outbound

This paper cites Language Models are Few-Shot Learners.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Language Models are Few-Shot Learners

Reference 56

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source=arxiv_source observed=2026-08-05T10:23:58.828376Z digest=sha256:e7d5f90bbf5987f4e4b30e0c141dc851ac2e76fc4d5a1ec06f88cadbdedd7287

Observation afa034b5-4a32-4707-a3c2-c4e39dcaec76 · outbound

This paper cites OpenAI blog , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement OpenAI blog , volume=

Reference 58

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no resolver link, observed 2026-08-05T10:23:58.837480Z

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source=arxiv_source observed=2026-08-05T10:23:58.837480Z digest=sha256:6b430699a8358f53a3a9278ff6c4e12699613e44670569a932a3d7596253f56c

Observation 0d359b56-a0ee-437a-917b-beddf990a5a3 · outbound

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

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Finetuned Language Models Are Zero-Shot Learners

Reference 59

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source=arxiv_source observed=2026-08-05T10:23:58.841552Z digest=sha256:b84fa280eff570b807aca90ec526c21baaac060f552aae900003f7acf912f87a

Observation 8a21c0e3-f31b-4511-a037-b33f7e1203e9 · outbound

This paper cites GPT-4 Technical Report.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement GPT-4 Technical Report

Reference 60

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source=arxiv_source observed=2026-08-05T10:23:58.846654Z digest=sha256:124042ced21a05f1db9e24ac1c121a62fa2ae19720ce870e714aa26f58410b48

Observation 5c266b5a-9daf-4477-957a-a2af1a050c8d · outbound

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

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Gemini: A Family of Highly Capable Multimodal Models

Reference 61

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no resolver link, observed 2026-08-05T10:23:58.851388Z

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source=arxiv_source observed=2026-08-05T10:23:58.851388Z digest=sha256:16446e8021470ca53d4bd5daf4d50b3f73f4bc7159174afadf2686f55e114f51

Observation b348b13e-71ad-47a3-9d9d-10bb671856c8 · outbound

This paper cites International conference on machine learning , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement International conference on machine learning , pages=

Reference 62

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source=arxiv_source observed=2026-08-05T10:23:58.855996Z digest=sha256:44f509b89ca140b2441a68cee694ff50bda6317778258534d7bb3c7ad619b769

Observation 74e4b0c8-0c45-4784-8625-dcae44015092 · outbound

This paper cites , author=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement , author=

Reference 63

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source=arxiv_source observed=2026-08-05T10:23:58.860168Z digest=sha256:c85e0a973af12220807afde60fbbc9637ce4f5b1aafae31fbbac95964106ea76

Observation 3e806fa9-a540-470c-ab52-78ba1d0edd23 · outbound

This paper cites Nature Biomedical Engineering , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Nature Biomedical Engineering , volume=

Reference 64

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source=arxiv_source observed=2026-08-05T10:23:58.865358Z digest=sha256:5a389567053c4d952398aae695c4762f971c7ddd4fa8200db7f15b608b49cb75

Observation 678ef3ba-b216-45cf-b7a0-0e41b7f48b91 · outbound

This paper cites BMC Medical Informatics and Decision Making , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement BMC Medical Informatics and Decision Making , volume=

Reference 65

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source=arxiv_source observed=2026-08-05T10:23:58.870591Z digest=sha256:acc30039b62d39754a89a1458099c24bcb4a87764abdb8e75d787887851b12e6

Observation c6d3cde1-33a0-4683-a58c-b83be82dba6f · outbound

This paper cites 2022 IEEE international conference on bioinformatics and biomedicine (BIBM) , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2022 IEEE international conference on bioinformatics and biomedicine (BIBM) , pages=

Reference 66

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no resolver link, observed 2026-08-05T10:23:58.874972Z

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source=arxiv_source observed=2026-08-05T10:23:58.874972Z digest=sha256:6f1bcc488b58e489c40413ab6b6d6f09ecb57a66c156187de6cf73a8112ef74b

Observation 2ff61e38-c961-4bad-8bf9-9903c6c03674 · outbound

This paper cites Ferret: Refer and Ground Anything Anywhere at Any Granularity.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Ferret: Refer and Ground Anything Anywhere at Any Granularity

Reference 67

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source=arxiv_source observed=2026-08-05T10:23:58.879256Z digest=sha256:3dd1ad47efaf62d66b0ff5493a32dc6e146ad253d0a450e8ea92b6249930480d

Observation 81988803-75fe-4b14-a681-bdc1f7221ccd · outbound

This paper cites Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Reference 68

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source=arxiv_source observed=2026-08-05T10:23:58.883843Z digest=sha256:5095d7093d6298d8bf2714e0a7efd3f9a31bf97c8e175bb4b985943b7916414d

Observation 89775d2a-b385-488c-83d8-e1e3bcc806f0 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 69

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source=arxiv_source observed=2026-08-05T10:23:58.889104Z digest=sha256:2b449a50f47a1786bbae36cf8368503daef69b3bb94d3502c4e606b83ced0e87

Observation b03d5a4d-b608-4417-9a3e-cc5cf3b1617c · outbound

This paper cites Foundations and Trends.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Foundations and Trends

Reference 70

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no resolver link, observed 2026-08-05T10:23:58.894272Z

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source=arxiv_source observed=2026-08-05T10:23:58.894272Z digest=sha256:c068aa938066d1526202cce872318df2ac574e214652650efda44e9e8f6571be

Observation e6031a77-6aa1-4056-adf4-b268e5de1dc9 · outbound

This paper cites LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 71

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source=arxiv_source observed=2026-08-05T10:23:58.898632Z digest=sha256:6f33985092d35c612d23dc7c41f2d8c1c622b7bcfd0e563e045a1e71d891ae5c

Observation 1b9f05ff-59be-43d5-9832-5cbff4ac5c3e · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 72

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source=arxiv_source observed=2026-08-05T10:23:58.903153Z digest=sha256:a446a7a949e07b868f71ad84a218603258bd2a3774c2927f75e08ad8f1d3199d

Observation 6690c0ac-f9cf-44ad-bed0-56c9ebf1f8b3 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Advances in Neural Information Processing Systems , volume=

Reference 73

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.907339Z digest=sha256:27fd651ee444fdd27bfcc26516a33756fb1c5354b30a2bb957ec76b853020af3

Observation f2cfae7c-bd6c-4ab7-98b6-dcc2d6e9b87e · outbound

This paper cites MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

Reference 74

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source=arxiv_source observed=2026-08-05T10:23:58.912437Z digest=sha256:29910f93b8b8b4d5b7e8d4a3a2b1d6d2392ae9fdd119e8eb0083be2bcbe589ec

Observation 99a7930e-8103-4346-bfbe-783cd1f2ca46 · outbound

This paper cites 2015 IEEE international conference on bioinformatics and biomedicine (BIBM) , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2015 IEEE international conference on bioinformatics and biomedicine (BIBM) , pages=

Reference 75

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no resolver link, observed 2026-08-05T10:23:58.917481Z

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source=arxiv_source observed=2026-08-05T10:23:58.917481Z digest=sha256:07da75878e225d26d7a07c4153b927b53329abc6dc0cf48a4d0812a63f664aea

Observation 1e41f3e2-8a85-4ec3-a30d-3a7edc90abf9 · outbound

This paper cites ChEX: Interactive Localization and Region Description in Chest X-rays.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement ChEX: Interactive Localization and Region Description in Chest X-rays

Reference 76

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metadata mismatch
local_arxiv, observed 2026-08-05T10:24:00.131786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.921873Z digest=sha256:cdcf13c2ebc0a7028c40659df43f8c195135aadafd639864b9bd06d9abce6c1e

Observation 2dfd6a7b-1513-4f07-a435-6061d6f48f2c · outbound

This paper cites Image and Vision Computing , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Image and Vision Computing , volume=

Reference 77

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no resolver link, observed 2026-08-05T10:23:58.927753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.927753Z digest=sha256:bd08315746aed654b546a1e22f85932341106b3e757b0581d338f3b021c7215e

Observation d9850a3a-43d3-4561-9e0b-b031693cc307 · outbound

This paper cites CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Reference 78

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no resolver link, observed 2026-08-05T10:23:58.932019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.932019Z digest=sha256:466a195c1611645468f1b785e95c8c3b00309bac59a9a78ca2e0b2d499160a21

Observation 1cb65bf2-b148-4a71-8e45-328dbfa44a13 · outbound

This paper cites CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 79

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no resolver link, observed 2026-08-05T10:23:58.936541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.936541Z digest=sha256:84e0ef64ba3242d6e235e808daae55ed287c65daa5c2c4708f8758a4e1cc7217

Observation 6acd7a93-53bf-405e-9b10-07a8af0366bc · outbound

This paper cites M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation

Reference 80

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no resolver link, observed 2026-08-05T10:23:58.941392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.941392Z digest=sha256:c8d05d997c2f3a2610b38859fad6e861fc2c016e88a275b511e18f63158bd8ac

Observation 750090cd-d0fe-42a7-bc2a-d06baa57731a · outbound

This paper cites WoLF: Wide-scope Large Language Model Framework for CXR Understanding.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement WoLF: Wide-scope Large Language Model Framework for CXR Understanding

Reference 81

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metadata mismatch
local_arxiv, observed 2026-08-05T10:24:00.064847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.946941Z digest=sha256:f21af023428b3e76d3c41eb278983fdde9a92f997cd8ff7c901890a05abb326e

Observation 9da2dbd3-623d-402d-a483-58354fa70f73 · outbound

This paper cites International Conference on Machine Learning , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement International Conference on Machine Learning , pages=

Reference 82

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no resolver link, observed 2026-08-05T10:23:58.951672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.951672Z digest=sha256:61d1180dea53ee6339577ad399812beb8e5d7938a3e1deeaf6085bdb80927fe0

Observation 4759a88d-5525-477d-b8bd-b526e7d1d500 · outbound

This paper cites Text summarization branches out , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Text summarization branches out , pages=

Reference 83

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no resolver link, observed 2026-08-05T10:23:58.956000Z

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source=arxiv_source observed=2026-08-05T10:23:58.956000Z digest=sha256:29313c6b0bbd01badc25b6a1f64703f276c0914d1a1f98dccc6a07a48b34f314

Observation 8554af42-eb40-428c-9a75-d03c1c127bbc · outbound

This paper cites MAIRA-1: A specialised large multimodal model for radiology report generation.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement MAIRA-1: A specialised large multimodal model for radiology report generation

Reference 84

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no resolver link, observed 2026-08-05T10:23:58.961321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.961321Z digest=sha256:1ea7219f6a36ce6f9951d7c0abd3b25939b8aec17f56f39c4b3c392dd1abf3ef

Observation bd1f2a35-4596-4535-a0a7-bd9ff0e28858 · outbound

This paper cites Medical Image Computing and Computer Assisted Intervention--MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I , pages=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Medical Image Computing and Computer Assisted Intervention--MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I , pages=

Reference 85

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no resolver link, observed 2026-08-05T10:23:58.966381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.966381Z digest=sha256:9731c0f5eb84b0934b36f669fbf4f9d0a8dbc0940edd9ae79a9a5685d030496b

Observation df90cb72-750b-46af-ac00-babb52ec9528 · outbound

This paper cites Progressive Transformer-Based Generation of Radiology Reports.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Progressive Transformer-Based Generation of Radiology Reports

Reference 86

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verified exact
doi, observed 2026-08-05T10:23:59.558928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.970745Z digest=sha256:cf093e9d03c3c68bb6d600296f69d754cfbe6d22a0fb565495b55d94658294c1

Observation f3aa0616-3e82-4152-b1e3-6d309f587c92 · outbound

This paper cites Informatics in Medicine Unlocked , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Informatics in Medicine Unlocked , volume=

Reference 87

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no resolver link, observed 2026-08-05T10:23:58.975290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.975290Z digest=sha256:7cb2c8e58ed45ab7a8a435fc4bbc64bcff6cd1dde26e70fc25cb99af0c7e0c2a

Observation 2fb4880a-029c-4def-86fd-04667308d3a1 · outbound

This paper cites Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip

Reference 88

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no resolver link, observed 2026-08-05T10:23:58.980017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.980017Z digest=sha256:9329ed53541e14a09adaeea00dfd26f8fc4ae36ced1efa0c16ce5e6f12aaf0cf

Observation 79d8f963-065c-4f20-9df3-00f766605eb3 · outbound

This paper cites an unresolved cited work.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Unresolved cited work

Reference 89

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no resolver link, observed 2026-08-05T10:23:58.984621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.984621Z digest=sha256:9b0cf7bdcad6fd633449600299dff9f9469f090a0293107e213b8eed5d3901eb

Observation 3c45a87e-0ef7-4675-a6f4-fb2a4f172eab · outbound

This paper cites International Conference on Learning Representations , year=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement International Conference on Learning Representations , year=

Reference 90

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no resolver link, observed 2026-08-05T10:23:58.988762Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.988762Z digest=sha256:73a9fa4e83e07a74f3c90d10cecc1f9481acff1fc684102127020b2725af7e0e

Observation 4f7fc984-9db7-4dc6-944a-45d78e517860 · outbound

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

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement LLaVA-OneVision: Easy Visual Task Transfer

Reference 91

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no resolver link, observed 2026-08-05T10:23:58.993112Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.993112Z digest=sha256:f094104a8fea45aa75065957f31b8b6b4627d0a9521c4127521ce6f52cc84989

Observation 2522009f-aa61-409f-b91b-8b2bf065f78a · outbound

This paper cites 2024 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2024 , eprint=

Reference 92

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unresolved
no resolver link, observed 2026-08-05T10:23:58.997455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.997455Z digest=sha256:3d92196f4fed4ea6f8fe8194adf1041bdce1997c6db947004be25445035d0d27

Observation b3159b9a-d4cb-445d-beaa-c1dece45b2a0 · outbound

This paper cites Capabilities of Gemini Models in Medicine.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Capabilities of Gemini Models in Medicine

Reference 93

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no resolver link, observed 2026-08-05T10:23:59.002173Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:59.002173Z digest=sha256:456ea2ad2358e33f66eefe838f0535fb46be5cb1124468b081fd4d9a2c9fe1f7

Observation 9113db39-37cd-4cd0-a2b6-279d1ab7f657 · outbound

This paper cites Advancing Multimodal Medical Capabilities of Gemini.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Advancing Multimodal Medical Capabilities of Gemini

Reference 94

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no resolver link, observed 2026-08-05T10:23:59.006715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:59.006715Z digest=sha256:ac6a7c8926697c0218833027b1bdfe5d5662acc7f6759e853dcea2aa6179f23f

Observation 370c4e90-452f-4362-83a7-5c41a4111cce · outbound

This paper cites What matters when building vision-language models?.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement What matters when building vision-language models?

Reference 95

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unresolved
no resolver link, observed 2026-08-05T10:23:59.011370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:59.011370Z digest=sha256:d0a2d9c5e2ea2d7cd93958288235880582801e46540f26242cd408187d9ae9b6

Observation 16d697df-4d57-4b1e-b335-8a9d501a9216 · outbound

This paper cites Advances in neural information processing systems , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Advances in neural information processing systems , volume=

Reference 96

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unresolved
no resolver link, observed 2026-08-05T10:23:59.015943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:59.015943Z digest=sha256:3df1f1eebfb5ed5335330dc623764dbd8f3e54d19ab2cf7a61fb712120f167a9

Observation 87bf0a64-4756-45c7-af15-93169d7c7787 · outbound

This paper cites Instruction Tuning with GPT-4.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Instruction Tuning with GPT-4

Reference 97

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no resolver link, observed 2026-08-05T10:23:59.020211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:59.020211Z digest=sha256:c34c364abf402d4028be86a6b854a3cccf8c583cea08e8a0b44870d0ead089e5

Observation 4162c05c-db4a-45dd-8767-f16d13cf621c · outbound

This paper cites Patterns , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Patterns , volume=

Reference 98

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no resolver link, observed 2026-08-05T10:23:59.025656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:59.025656Z digest=sha256:9060364b6811e677daafe9110a6d63c8d4869267b5d890c1d5494209c2089836

Observation 7968e0b9-339f-4f78-9e8a-7c6e2c32f24c · outbound

This paper cites 2024 , eprint=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement 2024 , eprint=

Reference 99

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unresolved
no resolver link, observed 2026-08-05T10:23:59.029804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:59.029804Z digest=sha256:d0dc0e073b101daae5fdfddf7b50923399d3b2c52988958507dfac613c6a4049

Observation f8424cba-dafd-4c41-b3e5-de063ccba5b9 · outbound

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

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 100

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unresolved
no resolver link, observed 2026-08-05T10:23:59.034072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:59.034072Z digest=sha256:9e7a0c0774e0f1c5fee479e59c3b5969b39fcbc9b86f047a6f43accd167a1eb2

Observation 9517d658-c8fc-49f6-9b50-80e889dd7426 · outbound

This paper cites Toward expanding the scope of radiology report summarization to multiple anatomies and modalities.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Toward expanding the scope of radiology report summarization to multiple anatomies and modalities

Reference 101

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metadata mismatch
local_arxiv, observed 2026-08-05T10:23:59.922239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T10:23:59.038893Z digest=sha256:b3910ca5a186670c75db97d4a1984e2bc8f2ded19728b1d9fe03217e13185417

Observation b04b418f-7245-4d40-871e-5e7e41473c20 · outbound

This paper cites Journal of Computing Science and Engineering , volume=.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Journal of Computing Science and Engineering , volume=

Reference 102

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no resolver link, observed 2026-08-05T10:23:59.043303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:59.043303Z digest=sha256:a962aeeee68366f0099db7948439f6aa6c451d0efb6f59f7d7a56709f0077701

Pith citing papers

No inbound Pith citation observations are available.