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Paper Citation Record · LEDGER

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2507.06992.

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

pith.paper-citation-record.v1
2507.06992 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:54:39.945557Z

measured 32 of 32 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:32:16.849936Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T04:32:16.998740Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1429660a-05b3-413d-acc9-541f2e55cc37 · outbound

This paper cites Mitigating Bias: Enhancing Image Classification by Improving Model Explanations.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Mitigating Bias: Enhancing Image Classification by Improving Model Explanations

Reference 1

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source=pdf_text observed=2026-08-06T18:54:35.930972Z digest=sha256:a999bdc56c40c86358f781d26195515ba8fdbef8b1c776e0f41c1648c99f4472

Observation b8efe892-53eb-4fa3-ba64-7458311703ae · outbound

This paper cites MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis

Reference 2

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source=pdf_text observed=2026-08-06T18:54:36.018279Z digest=sha256:6e581edd080f37f9f50c0c8770aba25dc1e748ec73779c9e250e563076efbaac

Observation 1e53c944-5150-46be-a735-685af2cd94da · outbound

This paper cites Publicly Available Clinical BERT Embeddings.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Publicly Available Clinical BERT Embeddings

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:36.126138Z digest=sha256:651e638c0b7ebf050173facf88ce5b08f81727508ce02e17ae07dbc67fe94935

Observation 6e77bc65-3aa0-4328-ae53-0f404a972cc7 · outbound

This paper cites In: Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summa- rization.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation In: Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summa- rization

Reference 4

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source=pdf_text observed=2026-08-06T18:54:36.271625Z digest=sha256:94885cc2e5fc3c83425c983ffa3ddd889e2e896c8bd41c5c113cbc0992782c69

Observation da154dc9-be2d-4632-9562-09c6f5344e44 · outbound

This paper cites In: European conference on computer vision.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation In: European conference on computer vision

Reference 5

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source=pdf_text observed=2026-08-06T18:54:36.385568Z digest=sha256:eca3f31b9731e9b9b142aec4f5826baa98b70738f6f241982e60677bce2b0968

Observation 86cffbf8-da05-43bd-89f6-f399482adbee · outbound

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:36.540298Z digest=sha256:5069e187ea7e60c635556c2cbbabe25db2ac2076a2a2f248c72366d4f2177780

Observation a55ae508-edbc-47ff-a96e-bc9e5a1a07e9 · outbound

This paper cites Cross-Modal Causal Intervention for Medical Report Generation.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Cross-Modal Causal Intervention for Medical Report Generation

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T18:54:36.681899Z digest=sha256:d9407e0a774b68a19eecdc204a47300e9774a81e4a2fe972cf3ce5d4a4d7210f

Observation 716f6d1a-3206-419e-8237-4af5746a40ae · outbound

This paper cites In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T18:54:41.292409Z

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=pdf_text observed=2026-08-06T18:54:36.808372Z digest=sha256:57ca856de37652d5aa867f651e5e67c71879bbeb4eeeb2b7d0e556edbb8d1e0e

Observation a4bfda60-8833-40b9-bb21-6adaf0bbeb6b · outbound

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Cross-modal Memory Networks for Radiology Report Generation

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:36.924511Z digest=sha256:1909614a4517ee3d172a1d81969e52faf9fa81f7ea583ca5d16dfbea61a54120

Observation 23df3b37-0b53-4e21-890b-d38cabfa928f · outbound

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:37.075229Z digest=sha256:ca134e452b1db7bbb9101ba9658ce119bbd214f5c40ea3483bcc988648b39638

Observation b055150b-6294-4a07-a65f-20488c196a35 · outbound

This paper cites ORID: Organ-Regional Information Driven Framework for Radiology Report Generation.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation ORID: Organ-Regional Information Driven Framework for Radiology Report Generation

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:37.193192Z digest=sha256:22fce344f8292499e775e805e9448479cb8b19bc58788aa3c2cd4d5782b05a95

Observation b5368443-762a-4cbe-9a96-16829239504a · outbound

This paper cites GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration

Reference 12

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source=pdf_text observed=2026-08-06T18:54:37.337624Z digest=sha256:d4546d18fcfe779fda415398cdad3d7646a3e5d7ccb2532803f3db87c5554702

Observation 93bc16d4-0ac1-4b7c-b6a7-088fa93ba65d · outbound

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:37.465885Z digest=sha256:240ed4302410101ebb546dd52bfd08e2149ff221a7bf0b55f0853989e8c54a86

Observation 2f9bb7f3-bc76-45d2-bb88-317dbf6d8f99 · outbound

This paper cites RadGraph: Extracting Clinical Entities and Relations from Radiology Reports.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Reference 14

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source=pdf_text observed=2026-08-06T18:54:37.614140Z digest=sha256:d2b18dc5480a9a744badfb463eff0fe2d47435fedc7541102d456183b6ca2c09

Observation af3602a0-0bf1-467e-bbc9-84ca48b6e29f · outbound

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports

Reference 15

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source=pdf_text observed=2026-08-06T18:54:37.746334Z digest=sha256:eb88a517efae378e0b3626d6e7d275a0a6d2f864049d66751831b22774dc433a

Observation 639037fd-f262-4fac-93d5-6e2aa1a9096e · outbound

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Scientific data 6(1), 317 (2019)

Reference 16

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source=pdf_text observed=2026-08-06T18:54:37.888149Z digest=sha256:bb8a035f9017acc81967137699bb9c09df450a7459f97649d3d69c5e50c3d15b

Observation dab74344-d9f5-4ca5-88c4-762aea189049 · outbound

This paper cites In: Text sum- marization branches out.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation In: Text sum- marization branches out

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:38.053247Z digest=sha256:8be2d74082f6e968d644178b48026819764832b157174a3afb58d092a250a620

Observation 90ec208a-8872-439e-80b2-3fa01ee0dd49 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 18

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source=pdf_text observed=2026-08-06T18:54:38.222817Z digest=sha256:4a03709e092249086a629c3c61cbd28e1b0ea51a2206b04e9e5c6ccf598bb611

Observation 346e46b8-97ec-49dd-b154-b5a134b54a95 · outbound

This paper cites arXiv preprint arXiv:2106.06965 (2021).

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation arXiv preprint arXiv:2106.06965 (2021)

Reference 19

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source=pdf_text observed=2026-08-06T18:54:38.379165Z digest=sha256:bc38bdbdc9d72b8ea3659d458004ac0c08550163637ee16a6caeffe13c74c134

Observation ecbfbae6-46be-4538-aa9d-02981bdb0fc7 · outbound

This paper cites Artificial intelligence in medicine144, 102633 (2023).

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Artificial intelligence in medicine144, 102633 (2023)

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:38.492104Z digest=sha256:b5d5b691098eb7c4222c8eb51a3e2cd91e2ecab7615a694e36be6e390f5a7387

Observation 5fe8b127-fe86-4de0-95dc-df2be7ecfe21 · outbound

This paper cites Progressive Transformer-Based Generation of Radiology Reports.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Progressive Transformer-Based Generation of Radiology Reports

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:38.607062Z digest=sha256:881d98164ed5928f381901e61c942f01523273ff6cc83378aca4e8f76b93d9bd

Observation f28980ce-2a51-45cd-aeb8-c7960ed5a996 · outbound

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics

Reference 22

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source=pdf_text observed=2026-08-06T18:54:38.753835Z digest=sha256:9e829d95ff29e4ad1dd13b733d185b4b2296ed7ab329f2781e49461700a95ec2

Observation 2feb1d11-53a1-4976-a377-b7ddcd8e039b · outbound

This paper cites In: 2015 IEEE 12th international symposium on biomedical imaging (ISBI).

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation In: 2015 IEEE 12th international symposium on biomedical imaging (ISBI)

Reference 23

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raw_fallback, observed 2026-08-06T18:54:40.980454Z

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=pdf_text observed=2026-08-06T18:54:38.893321Z digest=sha256:9a88efc61cefc7f7ec8712156a99768f313cd76869f2cee538811c4f18540fd4

Observation dbc2a156-e9f8-4d70-804d-0532b4b5b968 · outbound

This paper cites Radiology: Artificial Intelligence1(1), e180041 (2019).

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Radiology: Artificial Intelligence1(1), e180041 (2019)

Reference 24

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source=pdf_text observed=2026-08-06T18:54:39.058032Z digest=sha256:498c11ada8267406eca839eca3b74d7ee33b18e6d60773daf421439b76965de1

Observation 65a826ba-4640-4524-8014-6b792b1094f8 · outbound

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 25

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source=pdf_text observed=2026-08-06T18:54:39.224584Z digest=sha256:2f789b201fd45aed77c8985777ff3fd35f255e1104a4144df4eedf8378bd2a97

Observation 3b8a45c8-70e4-4d71-a752-f58fb7008126 · outbound

This paper cites XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models

Reference 26

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source=pdf_text observed=2026-08-06T18:54:39.332326Z digest=sha256:161a7989afddb79d9114dd5c8623f63f46cea59282bfcefd06c4e914152c7411

Observation 0d87ca7f-e07f-459b-a0b7-1835448d54bd · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:54:39.484534Z digest=sha256:c261865e3787b47feb8d4201de39d22360f23f7db288e18a71536485f1a5e703

Observation b8b189ca-e810-42de-9864-76bcd8b8b82e · outbound

This paper cites HERGen: Elevating Radiology Report Generation with Longitudinal Data.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation HERGen: Elevating Radiology Report Generation with Longitudinal Data

Reference 28

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metadata mismatch
local_arxiv, observed 2026-08-06T18:54:40.217680Z

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=pdf_text observed=2026-08-06T18:54:39.607111Z digest=sha256:0c436656122a9e129013d44954f742a730608c4a4af63a25618b05f87780e6e0

Observation 2ebdea38-8851-411f-b735-9746175109e0 · outbound

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 29

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source=pdf_text observed=2026-08-06T18:54:39.724795Z digest=sha256:c1472480d780fa0fdccc0e4348e560aaf8871e213068a6dfd082dda80d7e238a

Observation d9915f99-2f8e-4421-86f2-df2f6b1a885e · outbound

This paper cites Chest ImaGenome Dataset for Clinical Reasoning.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Chest ImaGenome Dataset for Clinical Reasoning

Reference 30

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source=pdf_text observed=2026-08-06T18:54:39.844159Z digest=sha256:3419cbd1288d68fa23735d6586dd9d8fee498c733b7da6f0430a2325d677110a

Observation 08afeda7-de28-46f8-bb0c-dc29c073f169 · outbound

This paper cites an unresolved cited work.

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation Unresolved cited work

Reference 31

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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=pdf_text observed=2026-08-06T18:54:39.945557Z digest=sha256:620398e831b47791ef3b66ba0159df991886d8775a93dae8460c0d462c0e7e3a

Pith citing papers

Observation c651ecfa-073a-4d2a-860c-ffb97946c58e · inbound

R2GenKG: Hierarchical Multi-modal Knowledge Graph for LLM-based Radiology Report Generation cites this paper.

R2GenKG: Hierarchical Multi-modal Knowledge Graph for LLM-based Radiology Report Generation MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation

Reference 52

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local_arxiv, observed 2026-08-06T04:32:17.003912Z

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=pdf_text observed=2026-08-06T04:32:16.849936Z digest=sha256:5fcd7f381743362090ce0e924864125b901bdfc5ddec6242bb1ae55eea62f4bc