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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:44:56.343311Z digest=sha256:5327a1814bc9cdd839dc676c59a58f8c851c98df355217412931443a70d2d9c8

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=sha256:43f3d463d34ab3b8b8fb6953f35f9c0368c9beda78909267c0ec05c3b12588db

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=sha256:6366b63238391a569db3cdea235c49ceb02515cc122c494b3003d0d73d67f317

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=sha256:353ceaf0d6e7b3762dbbbae00d31bec04d9851ae8981084cba4da845b9a1cb9e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:44:56.377894Z digest=sha256:0645305504318e78785fb3c22d00971850b72817367a54369266a67c9d0dc7b2

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=sha256:0be7269f1b5509b9b78111dc092df61f0f20f3b01450b3bca12cbf55a79e17b4

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:bb374bf538ac1fe6ca582497fdd9529270d8e16134136485848a71427cb82a84

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:ac5e4ae1a8ad1405c6ff31202457437158e04bbfdbdf19f2736f8216c16f075b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:44:56.415270Z digest=sha256:37a15493711a8bbf1fee1068a413dbf4cfd1d3bcde48da297acaf7c936781de6

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:fe712209702b4f976b4a0076edcc801350ca2f9aaed7c86ebbf0f2e5af9d1dbe

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

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source=pdf_text observed=2026-08-10T20:44:56.431317Z digest=sha256:2a910f5dac1c74214b75669ea2d230cedb8d9349766d3ad00016c3d567d7b365

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=sha256:3d0a72752c4ccb9a7c4e8e9b379355e87a48d177a6097d2090f506893bcf9f25

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:44:56.445106Z digest=sha256:948a2f3ea123667c1b80aa79c0d38bfb724c8d2a48f9a72888900ba03f27a025

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:dbbecce3128b6986fa5fa06b0cd85ee79fdf0bc49e825291ec521ee80b99dbd1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:44:56.457476Z digest=sha256:fe54ddc789ee8693fccf74cf1befef11446165bef39261da30e1692f61ff37d4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:44:56.468622Z digest=sha256:bc9687511e86ca1f5403d185023366f15865a4d934268562f8854f4e4eec2f6a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:44:56.478127Z digest=sha256:14c46c12c1c423f2a581950d7b791299267d5e6bea441dde1ddba3575b02a8ec

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=sha256:3c1a824789af295c39d60fda0b5db25e981279a90883d45ac97022e16186257b

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=sha256:5564938a311bc30abd5ec27c3528d690d8bca2d25aa6cc6c663e07ab1bec8ad6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:44:56.504527Z digest=sha256:d1d708e53fa03c53d20841d3c85aa7fdb160de9e19176dc2ea25837a64a4412d

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:eb103c4e9b2245347e1286b3b2955e99fbe0acbb313256b8d7d4902f387c8523

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 2026-08-11T06:34:44.6726+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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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:44:56.525019Z digest=sha256:038f32175b8bd65cd4b3083a6d0644033ee4a8f6bc736ae37ee03c773877dc1a

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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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=sha256:7c1db30f8858f65ceaf4285d085c588e6ee7572f5aa56b38584faeae27c09155

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=sha256:8b73d04b737d10c9a96af227a248a44ef913ce48a62a48f7bddf8425ae5ffe65

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=sha256:63bf46b1b8eb33548af401683d1af65d663311cddd543d1f431880ed0959c1c5

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=sha256:6bb3a0f5a1a5b99aa1093158ae2aa4e827479d69a2ef1ec9156018674a020c22

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:ce6be214006a2324ccc85d5627f7ff4b11d129890779fed5e6cdfebb6c88c543

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:44:56.570712Z digest=sha256:6dba7e0d9b99cf23f5f87a01ba230304822e02ab32ec1d685488e917a8f82a36

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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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:e33767e20344fb2a3035ff9371181f11e560713bc613cd37935ae6277d786da4

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=sha256:4bf923dbf18cc8ec3e83882f3681e88aed7381a6ff8858afbdbd1d7ad58015b1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T13:10:02.885029Z digest=sha256:2d57401a242108e4cd9d20fadf901509e763b159e1e0e03795b77c2d98ce360a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-25T07:19:54.052049Z digest=sha256:1a9705e9bb2ba44fd924d813f1065fac98a60555d8ccad9cacd87df41602c674