Paper Citation Record · LEDGER

RadHarmony: Radiological Data Handling in the Era of Agentic AI

As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.27235.

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

pith.paper-citation-record.v1
2607.27235 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:54:29.009202Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

32 of 32 outbound references displayed

verified exact3
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8abbcc6-06fc-4f1e-b015-d0924501120a · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence (2019).

RadHarmony: Radiological Data Handling in the Era of Agentic AI Proceedings of the AAAI Conference on Artificial Intelligence (2019)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.889652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae0fd73-a8bd-45cd-b91a-fd56f43d1455 · outbound

This paper cites Scientific Data6 (2019) https://doi.org/10.1038/s41597-019-0322-0.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Scientific Data6 (2019) https://doi.org/10.1038/s41597-019-0322-0

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.894510Z

Source-reported events for the cited work

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Observation 9dc9dacd-1010-4106-b3fb-e8bbf3001bc4 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017) https://doi.org/10.1109/CVPR.2017.369.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017) https://doi.org/10.1109/CVPR.2017.369

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.898615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b62abe91-d759-40f4-b942-e6f902ccf51e · outbound

This paper cites Nature Biomedical Engineering (2025) https://doi.org/10.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Nature Biomedical Engineering (2025) https://doi.org/10

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.902841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1799ec7b-71c4-4a78-975a-1ef1a5972936 · outbound

This paper cites an unresolved cited work.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.907047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9854b7b7-d52d-427e-b159-696f88797327 · outbound

This paper cites Computer Methods and Programs in Biomedicine208 (2021) https://doi.org/10.1016/j.cmpb.2021.106236.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Computer Methods and Programs in Biomedicine208 (2021) https://doi.org/10.1016/j.cmpb.2021.106236

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.911095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4896255a-09c9-49b9-9401-d6e50bb56ce4 · outbound

This paper cites Scientific Data10(2023) https://doi.org/10.1038/s41597-022-01721-8.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Scientific Data10(2023) https://doi.org/10.1038/s41597-022-01721-8

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.915463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79bbbda6-7463-4ad4-a6aa-39666bd9fc26 · outbound

This paper cites Proceedings of Machine Learning Research172, 231–249 (2022).

RadHarmony: Radiological Data Handling in the Era of Agentic AI Proceedings of Machine Learning Research172, 231–249 (2022)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.919202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9149cc-712e-4e3b-a6c8-e8c331f951f3 · outbound

This paper cites Journal of Imaging Informatics in Medicine38, 3040–3048 (2025) https://doi.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Journal of Imaging Informatics in Medicine38, 3040–3048 (2025) https://doi

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.923049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8da94d5-fd75-42b7-9d74-bacaa9257dae · outbound

This paper cites ICML 2019 Workshop on Human in the Loop Learning (2019).

RadHarmony: Radiological Data Handling in the Era of Agentic AI ICML 2019 Workshop on Human in the Loop Learning (2019)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.926866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af65a2fd-8e34-47b7-8d81-126aeeb7e3f4 · outbound

This paper cites Radiology: Artificial Intelligence1(2019) https://doi.org/10.1148/ryai.2019180041.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Radiology: Artificial Intelligence1(2019) https://doi.org/10.1148/ryai.2019180041

Reference 11

Resolution: verified exact; doi, observed 2026-08-01T04:59:22.783234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a20a148-6b82-4197-a548-bf1ac7ade36c · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

RadHarmony: Radiological Data Handling in the Era of Agentic AI LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.934908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de846324-e2ee-4899-a29d-38776ab28542 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

RadHarmony: Radiological Data Handling in the Era of Agentic AI SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.939052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab7d236d-b847-440a-8aa8-9c1082c32708 · outbound

This paper cites Scientific Data9 20 (2022) https://doi.org/10.1038/s41597-022-01498-w.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Scientific Data9 20 (2022) https://doi.org/10.1038/s41597-022-01498-w

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.942988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab07ca52-c2b0-4bb1-8ee9-16874b0aaf7b · outbound

This paper cites Nature Machine Intelligence7, 119–130 (2025) https://doi.org/10.1038/s42256-024-00965-w.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Nature Machine Intelligence7, 119–130 (2025) https://doi.org/10.1038/s42256-024-00965-w

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.946546Z

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Unavailable: canonical work link unavailable.

Observation 9bac05b3-61d1-4653-bc06-cc4a4f35a665 · outbound

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

RadHarmony: Radiological Data Handling in the Era of Agentic AI CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.950195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf354ca-35b5-43e1-856d-4a5eb7f1d2a4 · outbound

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

RadHarmony: Radiological Data Handling in the Era of Agentic AI MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.954202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07531206-8761-4a68-b443-d96093e0b490 · outbound

This paper cites Medical Image Analysis66, 101797 (2020) https://doi.org/10.1016/j.media.2020.101797.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Medical Image Analysis66, 101797 (2020) https://doi.org/10.1016/j.media.2020.101797

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.958351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4972d7e-7cce-4c86-b151-178b6d5b2524 · outbound

This paper cites Scientific Data9(1), 487 (2022) https:// doi.org/10.1038/s41597-022-01608-8.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Scientific Data9(1), 487 (2022) https:// doi.org/10.1038/s41597-022-01608-8

Reference 19

Resolution: verified exact; doi, observed 2026-08-01T04:59:22.629922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 28eff1f6-ad84-4798-9573-bfc803c4aa68 · outbound

This paper cites ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports.

RadHarmony: Radiological Data Handling in the Era of Agentic AI ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.965360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b894aa-5095-4b45-a981-b4c6eefae385 · outbound

This paper cites Kaggle (2019).

RadHarmony: Radiological Data Handling in the Era of Agentic AI Kaggle (2019)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.969387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d17305-d0f8-4102-8540-849a616b6a02 · outbound

This paper cites Kaggle (2021).

RadHarmony: Radiological Data Handling in the Era of Agentic AI Kaggle (2021)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.973044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 768fe473-30aa-4b16-a416-b196a809111b · outbound

This paper cites Kaggle (2020).

RadHarmony: Radiological Data Handling in the Era of Agentic AI Kaggle (2020)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.976532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed04ea2c-29ec-474a-9dfc-468235e4c374 · outbound

This paper cites Scientific Data13(1), 632 (2026) https://doi.org/10.1038/s41597-026-07271-7 21.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Scientific Data13(1), 632 (2026) https://doi.org/10.1038/s41597-026-07271-7 21

Reference 24

Resolution: verified exact; doi, observed 2026-08-01T04:59:22.548812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 441e052f-3f28-4b9c-a037-42f2bfb047cc · outbound

This paper cites Journal of the American Medical Informatics Association23(2), 304–310 (2016) https://doi.org/10.1093/jamia/ ocv080.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Journal of the American Medical Informatics Association23(2), 304–310 (2016) https://doi.org/10.1093/jamia/ ocv080

Reference 25

Resolution: malformed identifier; no resolver link, observed 2026-08-01T04:54:28.983428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d3b13e-0c20-4051-9c8f-37a8748dd536 · outbound

This paper cites Quantitative Imaging in Medicine and Surgery4(6), 475–477 (2014) https://doi.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Quantitative Imaging in Medicine and Surgery4(6), 475–477 (2014) https://doi

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.986888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd11e88-b27d-4f95-9f70-a98ab25e2d75 · outbound

This paper cites Radiology290(2), 498–503 (2019) https://doi.org/10.1148/radiol.2018180736.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Radiology290(2), 498–503 (2019) https://doi.org/10.1148/radiol.2018180736

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.990623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 057d8a1f-80f1-4c28-8eb8-05cefb371657 · outbound

This paper cites Medical Image Analysis67(2021) https://doi.org/10.1016/j.media.2020.101857.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Medical Image Analysis67(2021) https://doi.org/10.1016/j.media.2020.101857

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.994299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6bcaeb0-437e-46c0-a002-71da1be9d81d · outbound

This paper cites Radiology: Artificial Intelligence3(2), 200254 (2021) https://doi.org/10.1148/ryai.2021200254.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Radiology: Artificial Intelligence3(2), 200254 (2021) https://doi.org/10.1148/ryai.2021200254

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:28.997870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75ce8675-b132-4969-bbde-6f380adaaeca · outbound

This paper cites Kaggle (2022).

RadHarmony: Radiological Data Handling in the Era of Agentic AI Kaggle (2022)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:29.001593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77873516-1196-4b4b-8b94-472b4a9d6722 · outbound

This paper cites Radiology: Artificial Intelligence6(6), 240101 (2024) https://doi.org/10.1148/ryai.240101.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Radiology: Artificial Intelligence6(6), 240101 (2024) https://doi.org/10.1148/ryai.240101

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:29.005359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ae53898-84bb-4b19-8fe8-2b2f4ce48584 · outbound

This paper cites Kaggle (2024) 22.

RadHarmony: Radiological Data Handling in the Era of Agentic AI Kaggle (2024) 22

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:29.009202Z

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Pith citing papers

No inbound Pith citation observations are available.