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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 8 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 2026-08-08T06:32:00.761636+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=sha256:825259bac743e4f8cd68d73fef7db00eb5a4eff80b1c68709b7a90df410cabe0

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=sha256:84b73d2b7cfe7dda3782376612496800bd7874f3cfdd6aa6d8adfffb8b21d52d

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=sha256:5a2abe9fdc3b281b8d168f4dea8b2266a1fd6f80261fa5ded40365cb653836e5

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=sha256:19b0c91c929e9af0253ac23f45f87da288e44e17420caeea9d2cf4620ad065c0

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=sha256:0920b4b033192d143abc1aba8c882328f082604f955b3e872128bbd2bbda815a

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=sha256:1d83a02b2b7bffb1301d7d0aacbe57ec6031a6fe0873984371de1631e60eed8c

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:d219306a9c612910a3952d2e8f1968cd1935e68856d34291d5bbb7f57d92b8f2

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=sha256:5188f373190aba1a601917d39bfa24985d06eae19454b59a6df55223a92624dc

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=sha256:800ab3f433feef10f9a86217729d12662ca98e514d8218e3052141ab3684bc73

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=sha256:8e73a27c462f825910cd2d5a831d14c519f9b7f0534ff149bb993ad021a9846f

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=sha256:8bb9a81806a93b117df11b19434cab85dc8b713f3c33539b28172d6a313eb0f8

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:d62b5dca05b8d2535684591b62576316c538d03991cc889f26dd1e7544a070aa

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=sha256:0c9ce1c614522a720c1b23e9a1c0660c3a0be42f14901db7a6e54379473a5817

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=sha256:07a8bcdc59dce5ecfe86f22387a34f76e8afc3a65ccc2c11323682d299785732

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=sha256:0934140e27c7a50dfd2bcdcca934662fa617f4b2019beeb9e5452a14d32567c8

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=sha256:34100bdf7b28cb9ff62a5d1189914b1215876b9b8e00f880f64bb4453fb4f74a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.647252Z digest=sha256:fa93a96a69587abfc16f192b3149161811806606544bbc98535ed1b574dd50b2

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:ff4848ac4f6980fc31cae3337db3ba379c0deb2c19052169f70a39a4cfe38848

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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source=arxiv_source observed=2026-08-05T10:23:58.656141Z digest=sha256:fc271d50cddb57285606d8633a3f44ddd55f241dceb82cff9c85dfd6e549f8e9

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:e603fd770c492dd696a761d866ca2c9f4c074e7e0580611638e5517ee122ffff

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=sha256:2a7bffdf50ccb077891372e8df590df4fc6486cf9822d2ce5d421c4267450576

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:e175fb64f90c559a58fd9f2ebc783465e1f1b7fe8a84007c2e008b61442fc5fd

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:b58efe24a9555cfbbe6e9c12288a13b29979856d101d5e25a2e7f0cada280adb

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=sha256:82089ffc51e3517a6081b3eb8c6449fe7f417b1b0ac8dc89ebf72ea925d3f289

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=sha256:0e881368f18919cfbd91d7ce8e5db34c219459633985e6b60be47787071e8cc8

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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=sha256:6ccbda4bb30b7a50aeeea1434c66e385d8f3c461c63f084587bc638348b669da

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:e7af7e1da117263cabe8c733722e0186942598b0e8a3aa32e3c9f7e02e40bb22

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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no resolver link, observed 2026-08-05T10:23:58.709584Z

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source=arxiv_source observed=2026-08-05T10:23:58.709584Z digest=sha256:3a70d83802a1e3f163f5e51b2f41dc90b0a5c2c03bfa995738b2a1d33cc836fa

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:ac76e6e0cb4503adbab35194a5111890953e507fb133e398424ceb8ac015d06f

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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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 2026-08-08T06:32:00.761636+00:00.

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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:b8ab1f12c7e2428e65aea237a0932f96129c2b65edb96768b5a125e31e460c67

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=sha256:1aacf3d9ee6fcc9364eb84f0b0898e3d5cfc54488b8a595e2f85606482e4f891

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:bb02af492dc407e8c5dbee4c1d90d2a77aef6565371da0e002b9e60feb0212b6

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=sha256:9c9e2075b415c0cbcf2249a3860e541f021afd15c4342c3b66f46704a67bb700

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=sha256:3dc713e359a020936433e976f169cb82309e2ffd7a11955c6b5ef108a91ae6e2

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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source=arxiv_source observed=2026-08-05T10:23:58.755511Z digest=sha256:7a13ebdc3caeaba661e7b856be03f70fcba241392ec89c2d82316805e34f28a5

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=sha256:2dd92b613582cc4c1e0415ae16a2e174d564ccaae6bfc2ee47b49f9bb3f388ba

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:ef00f720e87a8ba343028731400ee277127857258768953c1bce6c25ae514289

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:b5f2ab9f792f1d30d88d2a9d97e9ac745d556a93f5dd0a5580added140e231ff

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.774422Z digest=sha256:ef59def0c2a1634775c44cfa9f196eeeb69345f818679188d00744a026205097

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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no resolver link, observed 2026-08-05T10:23:58.778943Z

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source=arxiv_source observed=2026-08-05T10:23:58.778943Z digest=sha256:2415034d3933e52ff44cbcb0071ec26b49985744a4edbf0ed8c7fd2c633e1858

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=sha256:671e767a8acdfa67e247f656b220def01e8b69ba74b6288e634a2054c28ec8a4

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=sha256:1b123141c166b59944bf1ebdac101622e3ee21c5419a346a4c9fda6778b7d14b

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=sha256:78f00d11f121f32122545531afd77ec942c2b284d2d9eb3ee9ea422b56891589

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:d7057ca11cb1caea1348f33ac48f1e6415b304eaef9a9438bfe69105504d7feb

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=sha256:6478b111d8174d4ba84e206d60752738c1012d81fa4cb0599d7513bd6acf885e

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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no resolver link, observed 2026-08-05T10:23:58.806160Z

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source=arxiv_source observed=2026-08-05T10:23:58.806160Z digest=sha256:521f31c8785b8b67c1f40f1062e2feaca08098b69836429dc6ecbba4a587b331

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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source=arxiv_source observed=2026-08-05T10:23:58.810976Z digest=sha256:b45ffb065bafb87e929a3f703f8843e72095b667af6e2dc5463f2b79cef7d19f

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=sha256:35bc43c6556dbab3d19db48e0ad2da533e195b242539f09c9e1b3011edef5fc2

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=sha256:05daa135d40ecb136eb438a33caa46b15ff5b735a3e1c5ecb1c15ecce4b471c5

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:d0928e456e6337ecc15bf0237314cc820cb849ed0d1facc5a01312b36be2b900

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:be78642f97023ec8d3ee2a112e79a13efc87e0992afb17e5719a874e6327cd40

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=sha256:56ed5e287548f925f206bdae572f7f0f268a35378f6196100811294e8047bc0c

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=sha256:4c5b86407ce0643b5d1187bc24cecd96b0909d02e095fb10e8cf69f0859c247d

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=sha256:8ee1528d3843943856f27dfe59703fb918b299ca1f30c6dea2e55c20d7211f0c

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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source=arxiv_source observed=2026-08-05T10:23:58.851388Z digest=sha256:b177b8fd126fa82793bb5286a650a89397be74a3d9249c8c3e3757be62d7eabb

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:cd185a56ddde2cb29b3aef91fbbc8dbc0f4a73e33a05a0b1267e2fa6f5648174

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=sha256:150af36fa2c1b0f65c47892b72e5f025ec289d1683ce3f5a767549c0f7864780

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=sha256:56154e0575eac2ec67286cb2d1499b8147bbda17cd99917c88f7b9c7c13234db

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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no resolver link, observed 2026-08-05T10:23:58.870591Z

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source=arxiv_source observed=2026-08-05T10:23:58.870591Z digest=sha256:3eaec34178701d3153a057bd151509ea0be9b7baa28e71617440c60df11ca8a0

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:a7233b24fb2e4871908d3c46680a718dd0d1274dc29ceb6cc5ed4efdf877115b

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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no resolver link, observed 2026-08-05T10:23:58.879256Z

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source=arxiv_source observed=2026-08-05T10:23:58.879256Z digest=sha256:95ae2f7ca4537ab251d4f2a6de47e5f8d8c7183ae845fffc71ce3178b8765e76

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:ba81934addee59134b66b1f9d2f24065cb5580e906f44362b0fd9bd43f4f0506

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=sha256:75d0faec7baa8e5182b3d3ed00e3796fda29799b3bb710b8ae404ef374a98f6f

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=sha256:040f8fff8e0414e6fd0894ef09d83bc75f7f5cf228967c33b0e6caa687a46bd9

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:dad5816197a4b753d2227f4e2cdcd7110eb8def1282d50b458acb5dedddc4837

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=sha256:8aae040a0087c94538fec096fdb61788a10ea479a0630289d6655b5ff0dbf856

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=sha256:6f10779f7f6ceeed01fa4ef268e6b523662c9b322c02391e5f1403a70d538034

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=sha256:61409e22d4be964029c46027eddcc5a6f7f6dfe77f9e2e9c6a879476ca522339

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:23:58.917481Z digest=sha256:c75560194a4e370e8b25457975ed0ad4b72dafa257578c43a36f71e0efba6267

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.921873Z digest=sha256:afbfa50c336b9f585da158900e7ed79eec67ef27e81454e92ca5c39a954e29c5

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

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source=arxiv_source observed=2026-08-05T10:23:58.927753Z digest=sha256:f6fec21e77d0f9a1fefff6785b79e4f492c4d2c64e774aaee32c5acd9093b2e4

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

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source=arxiv_source observed=2026-08-05T10:23:58.932019Z digest=sha256:c83a68f3edd3c73776fcb45ff747f87ed3fd05483821847881a391805addb045

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=sha256:0b4da3b37a48f70b51dcabe3a9ab2646285f7905286b28888d96899eafa5e969

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=sha256:214471e38d5b567b568c5bd3fd571aa8e563ebf4a0ab774842b141568606dbee

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.946941Z digest=sha256:a453772214dc25d5a70a6c9a8f18470677952967bd3ab3d386a26a43239fe1f9

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:ced1bfc5213278e16c12fe165a72a33c842e80673ce777136172f38e0a587a1c

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:bd6a4c25596ba1670129d1866e961ea329f2d41f381a56a3d7a030577658389e

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=sha256:81610ca13b249a7232bba95fecb0c173216211a0c8426957e3af68be11c4d934

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:b338bb480a4b9a0cf2fa76376b153ae7f43032a43ebfec2120000054edc9ff96

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:23:58.970745Z digest=sha256:608d48101550a6e5f2664a86cc0df17e3b1fc434ed473075ec3bec924c872433

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:e58190771a7943709007fd980620c1aaae19d8c06cc54a754b9ca72d41d258d6

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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unresolved
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=sha256:4d3a0113c23fcf821a8692af4b292e096f78f83487fbb28802b41d7c0d541146

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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unresolved
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:a178b778cbed368c9b99cb439bd14549d6b71ec0100f5b2e49b3ad9d27cddc7e

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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source=arxiv_source observed=2026-08-05T10:23:58.988762Z digest=sha256:feb7d3fb165878876436da66ca6bde5ec445404af0a076dae31b4c64e6118fda

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:cd96bcd1746b1e5e6bf6b4e5e11b0fa7742ef34970ae9528fa44f4ab3ad26809

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=sha256:2e084ab42df9d718cdef400bcbc50d201e8c97f7bf91a03b1b3b2b85f8b24f4a

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:a9eaa789efa1b77b2619f35610fc27c15eff1417ee88a5955061e322f925abda

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:cc812a560eaf198b96b6b2bb270fbd5a2a3848f08aa7c3a01086a63e01261a4e

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:ca6a3df3d873f6fbb0dd0333c7815ed4894c0f15c9f805f6eb040747a03879b9

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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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=sha256:96af1d519a653c2cbc307212dc3bc5b3456c420cbb0661c419aa31616d192a8e

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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unresolved
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=sha256:6d21dd03ae2bb54403c6bd7d167a9ae77c77fcb3ea752b4c87cfb9c6df6f917b

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:f92fc72c73bb1a3846c10db2d82cd79880b83cf0c67734f94caca0765059f9b3

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=sha256:6d4b7205eda04dd2592361b7d8a645cb708d97291e4fad9836c5f682520cec75

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:bf1a4f1f00e635394fa3cb547e62c38df5f627183e29ff8ebbe47f13859eb15d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:23:59.038893Z digest=sha256:6af0cab0778b1cd135f7c9fe8b502a40c7e0565394b5a142d52078411631b057

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:e97c055b1f7d5bd052d591e9ff64346e6bc1c67d0370cb40e7d4adc5ee0b18e6

Pith citing papers

No inbound Pith citation observations are available.