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Paper Citation Record · LEDGER

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 3 inbound Pith citation observations for arXiv:2501.07525.

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

pith.paper-citation-record.v1
2501.07525 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:44:56.586089Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:12:54.163793Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:20:28.445236Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ba842cc1-53f3-4094-9f45-5e9eeb628f2d · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 1

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raw_fallback, observed 2026-08-10T20:44:57.507073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 69e9d7bb-c3d7-45c9-a70a-5b662d4edf36 · outbound

This paper cites In: 2020 IEEE 6th international conference on computer and communications (ICCC).

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: 2020 IEEE 6th international conference on computer and communications (ICCC)

Reference 2

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raw_fallback, observed 2026-08-10T20:44:57.478706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:44:56.343311Z digest=sha256:a04d917671de7bf827115e7e426072a3463ae5e57db452f923530f593028c279

Observation 1e910592-cca9-4f4f-bd6f-8f17d40ed02a · outbound

This paper cites In: European conference on computer vision.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: European conference on computer vision

Reference 3

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T20:44:56.351576Z digest=sha256:6955c2c53d78896143d56cc479eb4058dd6b86bf83592c6321acf4fbeaa08672

Observation 877c4499-4bc5-4a32-bd77-873592db825b · outbound

This paper cites Cross-modal Memory Networks for Radiology Report Generation.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Cross-modal Memory Networks for Radiology Report Generation

Reference 4

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source=pdf_text observed=2026-08-10T20:44:56.358414Z digest=sha256:c10c472df599a71ef2b1171ff3001cc20aec614d6bdf143c9296a2da51138c8d

Observation 430ddbf9-5b9a-4623-b0c2-e89a349e468a · outbound

This paper cites Generating Radiology Reports via Memory-driven Transformer.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Generating Radiology Reports via Memory-driven Transformer

Reference 5

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source=pdf_text observed=2026-08-10T20:44:56.366750Z digest=sha256:0a71c9dd377249cf1a84882d91c2a811d6ea4b94489f10cbf5c31b78895c36d1

Observation 79fbecbc-3d3f-46e1-9730-a54d818a6098 · outbound

This paper cites Journal of the American Medical Informatics Association23(2), 304–310 (2016).

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Journal of the American Medical Informatics Association23(2), 304–310 (2016)

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:44:56.377894Z digest=sha256:6e61e620fc5e79ff575957651651ea66087b23f859d11fd49b2028591aa39b31

Observation 075a3d29-16a1-49f7-b556-b85492bb41f0 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

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source=pdf_text observed=2026-08-10T20:44:56.392012Z digest=sha256:f26e9e6bd2c0ff3eef0abad09be0281a83938be13d72384dc8c4de789c83d9d6

Observation 568bdcd1-51cb-423b-80ca-50a4f56b516f · outbound

This paper cites In: International Con- ference on Medical Image Computing and Computer-Assisted Intervention.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: International Con- ference on Medical Image Computing and Computer-Assisted Intervention

Reference 8

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source=pdf_text observed=2026-08-10T20:44:56.398093Z digest=sha256:36ae5c06dc7920757c8977cf713b89b89a51fa8bf45d1675b385408ddd7c1197

Observation 8d0a2dd0-1282-45f5-9427-b392c23af2da · outbound

This paper cites an unresolved cited work.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Unresolved cited work

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.408020Z digest=sha256:15a32678051f0db313e6f2c0923b7a7192cf6a7180d96494819d875192ac7cd5

Observation 09b9d67e-5542-4295-8842-405b3ea2f46f · outbound

This paper cites an unresolved cited work.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:44:56.415270Z digest=sha256:a5bf78271ef7ce65d7c3029f78eef7be79cea04e8f9a44619da51ac2c36541a9

Observation 80f4c05c-6584-44fb-88fa-54ce9a92a363 · outbound

This paper cites Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports

Reference 11

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source=pdf_text observed=2026-08-10T20:44:56.424282Z digest=sha256:9bc08baba0b73b8bf336e2423b57bc8c1102b960287c28481295c4b5bad6e365

Observation 5694027d-1b51-4514-844f-0aa7e6cbabef · outbound

This paper cites Scientific data 6(1), 317 (2019).

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Scientific data 6(1), 317 (2019)

Reference 12

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source=pdf_text observed=2026-08-10T20:44:56.431317Z digest=sha256:f89877127b731214f0d1b50705463ae59276af39526b8e6d59241bbc47ef9fc4

Observation b2ac1150-b0b7-4d20-8fe7-ac1aa1f46991 · outbound

This paper cites In: International conference on machine learning.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: International conference on machine learning

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.437644Z digest=sha256:93daf0ba07c11fb198a0d0bc0c5dd903197fd50513f94e0de71db885cdfab90c

Observation e0af239f-8f26-4be7-a93c-215ec5996cc6 · outbound

This paper cites Advances in neural information processing systems 31 (2018).

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Advances in neural information processing systems 31 (2018)

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:44:56.445106Z digest=sha256:71279b7a27baa72cc881447210a1c24dea04c4a4db7f2fe534a4ac24de55ef1d

Observation 0c2f8097-2aa6-4b56-9604-557f0e284a62 · outbound

This paper cites In: Text Summarization Branches Out.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: Text Summarization Branches Out

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.451199Z digest=sha256:588c9211379cef18a3366ce03a8f5f0d0e81e5b9650c090d9d64872f7f861715

Observation c57a6f54-85b9-410b-820a-b526629e85ee · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 16

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raw_fallback, observed 2026-08-10T20:44:57.238090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:44:56.457476Z digest=sha256:9d6f51070e87629a3256f002fb7a23e45d1bd967504efb20aa0091f4dbc251cc

Observation 65bbad1d-8cfd-43ac-819f-b4f071da55dd · outbound

This paper cites Academic radiology 25(11), 1472–1480 (2018).

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Academic radiology 25(11), 1472–1480 (2018)

Reference 17

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raw_fallback, observed 2026-08-10T20:44:57.209533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:44:56.468622Z digest=sha256:51e50eeafe8c54003683af30c80c4b6195678858bc16eab465aeae50716ac7e2

Observation d9330474-138d-4862-9e39-80e234acad56 · outbound

This paper cites Computer Methods and Programs in Biomedicine 226, 107141 (2022).

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Computer Methods and Programs in Biomedicine 226, 107141 (2022)

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:44:56.478127Z digest=sha256:81ea9f35e5b649d7d776c0c113a6a21bcc3a5fcd3749855e8a467c2e3ec36810

Observation 879a9501-46b6-4cb2-b68e-a8a2ef376359 · outbound

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

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment GREEN: Generative Radiology Report Evaluation and Error Notation

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.485452Z digest=sha256:c71b785fd70ddd7adf105c02988115f0b698b48c74071e7c93bf30c8d25f223d

Observation eddab8f4-03bc-4aa2-a870-f3d1379d744b · outbound

This paper cites In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics

Reference 20

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source=pdf_text observed=2026-08-10T20:44:56.496438Z digest=sha256:86d50e2aa2850ce85282fef9fda3e763db8ae63ecc744a5e4d0833540bf7fb89

Observation 401303c6-2dcb-4894-b064-002251ae6868 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL 2022.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: Findings of the Association for Computational Linguistics: ACL 2022

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:44:56.504527Z digest=sha256:1a8705ec4301ad10a2ba69f28737d2e135212412c7052aea77545ba76e4b7916

Observation ddf0dfee-d335-4e5f-af08-09df98be7b03 · outbound

This paper cites In: ICML.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: ICML

Reference 22

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source=pdf_text observed=2026-08-10T20:44:56.512965Z digest=sha256:d7fd2a98fe2a05ab460c1dbf042a04e0091ae535f9537fdd579c26478a4c26ad

Observation 2d4722df-4f6e-49ad-91bd-977947b74a83 · outbound

This paper cites an unresolved cited work.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 50859fff-30b1-4d65-ac80-f78e703ecf4b · outbound

This paper cites Medical Image Analysis p.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Medical Image Analysis p

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T20:44:56.525019Z digest=sha256:54671db35e3c5ebbe72f7e7f9b242323c7b2b3731a81c05892827e3002edfdd1

Observation f4d9d375-01b9-45aa-9f02-0e8ed43e4b5c · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.530863Z digest=sha256:16dbb6706427390e41397d632cbdd8a16ff97576fc1154827e3fe236c7f09733

Observation cd906942-d9df-43cb-98cc-8f58be03b2b8 · outbound

This paper cites ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.536342Z digest=sha256:a86e59bd1d010b1634f1d174eeb8af6586ba8fe3c52ca1c4ba3dc4430879b628

Observation 02967711-aa19-430e-b45c-8a75ad0f454f · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.546261Z digest=sha256:9ab23d7849bc8036471b0f1463aa0a50f0da6d2274c6d9825a78e3f76f0c68ba

Observation e34a4eb2-f9cc-417f-b8c9-0ca58d08a633 · outbound

This paper cites MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology

Reference 28

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source=pdf_text observed=2026-08-10T20:44:56.551930Z digest=sha256:af7ad8942d2558a0afd1ad32e346619e43e2e0bc42ac3ecd299a0af8d9a3019e

Observation 30bb7d4f-d772-4c8e-9084-f919fd0a1c1e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fb5981d8-95d3-4908-895e-35155416c3ca · outbound

This paper cites Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.564789Z digest=sha256:3d9e919470bc3408963191941c38889e7335ebdd5d60172699e03d65652b9f7b

Observation cfbb524e-b00d-499c-83bc-6be219df1d55 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f393c9a-4e82-4d1f-ae1c-5f7127fdfad4 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment BERTScore: Evaluating Text Generation with BERT

Reference 32

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source=pdf_text observed=2026-08-10T20:44:56.576531Z digest=sha256:5e449b23cbbe7c211faa862925f70a0f1b5f23bfdf67e5dd1c85d24dcffc2e4d

Observation d25fbb93-2252-4192-a989-16e624bea9ff · outbound

This paper cites Data-Centric Foundation Models in Computational Healthcare: A Survey.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Data-Centric Foundation Models in Computational Healthcare: A Survey

Reference 33

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Pith citing papers

Observation 5d2070a4-c536-4d10-a552-7b26b3ade737 · inbound

BUSTR: Descriptor-Aware Vision-Language Learning for Breast Ultrasound Report Generation cites this paper.

BUSTR: Descriptor-Aware Vision-Language Learning for Breast Ultrasound Report Generation RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:12:54.163793Z digest=sha256:ef7103fae067ee8eda5b86c1f3f262b6713a5680fbd1339a8858816a8e928fed

Observation 06b1f581-ec3a-4fbf-a5b7-ebc5791c32fc · inbound

CLEAR-HPV: Interpretable concept discovery for human-papillomavirus-associated morphology in whole-slide histology cites this paper.

CLEAR-HPV: Interpretable concept discovery for human-papillomavirus-associated morphology in whole-slide histology RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

Reference 28

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arxiv_id, observed 2026-05-21T13:10:10.184493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T13:10:02.885029Z digest=sha256:a37240c11175f6199ec0066bcb331d7bcd08c677c809fdae0ac25c76d9d3f108

Observation 9bf741cb-7de8-4348-bc51-9d171bc6c2de · inbound

CLEAR-HPV: Interpretable concept discovery for human-papillomavirus-associated morphology in whole-slide histology cites this paper.

CLEAR-HPV: Interpretable concept discovery for human-papillomavirus-associated morphology in whole-slide histology RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment

Reference 28

Resolution
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arxiv_id, observed 2026-05-25T07:20:28.448379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T07:19:54.052049Z digest=sha256:966e4cca7b1d890d8bd0d8ea67ecfc068d71d17182c28ac175a79f29c27e3726