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Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:44:56.343311Z digest=sha256:22959605c433a45ad36db3dd9d7af4ea550d3f0524312aa111fcf3938d24bc90

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.351576Z digest=sha256:92469c2eda161275304d60b1da3f66b93be6df98517a7e41106ca422369c9e19

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.358414Z digest=sha256:e5842f3ef3dadcd88c5041881f553579c7b94b1b7a840863c720fe8d5e5fb759

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.366750Z digest=sha256:576201f30a0385dc635983cea53f8274b18fabbb4e0c812051d05d0e358429e5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:44:56.377894Z digest=sha256:bff0abd5983c58f036fa1e0d99cbbe2b780831f23907b533b6e35fc76c75c8a7

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.392012Z digest=sha256:999ee18cfb55b60b4cda6eb63363ee2b3200daef2ec3e80195585c7d7bf47fb6

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.398093Z digest=sha256:fd5f697735bd8bca5beb0c156ad0a80581a16222e9b1c953836375d027a1bef4

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.408020Z digest=sha256:40103d358445401fbcf0b9224e5356b6f9a6e82a270b596f872e58479a0bd331

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:44:56.415270Z digest=sha256:3ddcaff7b8f323cbf0340002ac9fcfba6baba4ad282b954ada5a38f549282d56

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.424282Z digest=sha256:7d549a3aa6d4965eb5e802bcb7fc3275770d6a104f1c3194c89e95c42ff4cb57

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.431317Z digest=sha256:ac041d0b38598d5ee69d52caf66f4a688beb7521a4ad2319b5101375710571f1

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.437644Z digest=sha256:9201935e277c13d5ff8a299d71a638ee754b716a5f719ba610fb8ff5003cf086

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:44:56.445106Z digest=sha256:1b3f4d5c5ad8dbec5db94818da24e7e07c2712e2c4a26c40c3d70ab182c3c31d

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=sha256:611cb9efb8e533d5094303e3c64bd24d9fb9941f8bce45d7267a60149e002497

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

Resolution
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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:44:56.457476Z digest=sha256:ce5dd0f0a426d184f8a5c05f5b54063f05bf120381af4d9d0ad8ccf7d5d5b6fc

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:44:56.468622Z digest=sha256:ba336afe1996b789eb605b6024d5dec7a66f8bf62a73a49bd5292988ec9882ae

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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raw_fallback, observed 2026-08-10T20:44:57.171688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:44:56.478127Z digest=sha256:7ec31315d156e607859a76d84c441a37e5c69b00f10a915cd6955277355d158f

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:e1c9ae96dab6fc04ba9c9dec373030971d5de44c3914ca7542efddff21e278f3

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=sha256:4a9902d8f2812a8eeeb10482629ffaf606e0a2c8194dc7d33d6e4bc7f98dedcc

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

Resolution
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raw_fallback, observed 2026-08-10T20:44:57.122625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:44:56.504527Z digest=sha256:5aea791c0ad11531175c930d01d9edd28fefed30c3f4d1926fbcf8f7dc6a63de

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.512965Z digest=sha256:64efa39f932fc26aef2c9956ae24ee7e87452f508fc777817f69b475c35e57d6

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:44:56.519322Z digest=sha256:02f16f7382f47921634bcce7aa0f07404522d97bbaebf5c26a0a0ec68d3909cb

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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raw_fallback, observed 2026-08-10T20:44:57.044203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:44:56.525019Z digest=sha256:c19e6bf04189cfd6aa893a37db40ae87b16051397a406841c85e89ff29a496e8

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=sha256:37bf1c014845c4595311917be5c28fc1d5c51aafa2d5937b2e9163a5bae10344

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:c5df777da56b005573ffb2b6ff4773213d652dabee5ab5307527a68f63883b36

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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no resolver link, observed 2026-08-10T20:44:56.546261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.546261Z digest=sha256:4d8c53a4c2a004ddd6ff5b45f8069d50a2359356bf65e1952b0b3085891496e7

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.551930Z digest=sha256:56d110cb2921fc18c51ca8399c8028f3559eaff47fc8d7b2f0d9114abcc03b51

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.

source=pdf_text observed=2026-08-10T20:44:56.559293Z digest=sha256:11430b6161813c38197579a54d757acf7abb1866fdf3e7385e85c687eac30627

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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no resolver link, observed 2026-08-10T20:44:56.564789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.564789Z digest=sha256:8407512d0e740351eef6fd33cb0b6d49cecf8a72a75e26821782f4cf9d69d1a2

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.576531Z digest=sha256:fd5eab79fc62ea77ba199695eb4371d855a48818782262767cc74797e3f456ea

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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source=pdf_text observed=2026-08-10T20:44:56.586089Z digest=sha256:0ff7a3d0709d46a8f20a632e49c3bab593f181f6628d38b3a29ed85ac9a40220

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:12:54.163793Z digest=sha256:c91122a23e758dd0f56bd8be4c10f03598db343ec2b41a1f25ee60eee6cfd2aa

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-21T13:10:02.885029Z digest=sha256:71b4e768ef6735611b53528830b6aab891d321e6ef56ae4fa0af7876fe01ac73

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-25T07:19:54.052049Z digest=sha256:7ef60b2087757deddc38727e57c2ab8fb19cfd25aef4bd8163a89e5c8c6f8253