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Paper Citation Record · LEDGER

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2506.15477.

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

pith.paper-citation-record.v1
2506.15477 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:59:55.962914Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T15:59:52.903025Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:08:36.869243Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 427fe2d4-6b8a-4246-8a0f-1d6e72e21acd · outbound

This paper cites In: Advances in Neural Information Processing Systems, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Advances in Neural Information Processing Systems, pp

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:00:00.784394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.042731Z digest=sha256:28eddbdb4b27ee71844dcf9e5fd0cc666bec081054c6c623696fc48437f22ea8

Observation 21cb0660-f394-42fd-a4b4-323d4fb8dbb2 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning LLaMA: Open and Efficient Foundation Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:54.122144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:54.122144Z digest=sha256:dd31ff142ae8d70ac6b50ab1e4da66529a74ba18e557c331c43d6551a8d6e871

Observation cfec9310-1cca-4703-b783-84a8c54897be · outbound

This paper cites Journal of the American Medical Informatics Associ- ation23, 304–310 (2016).

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning Journal of the American Medical Informatics Associ- ation23, 304–310 (2016)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:00:00.544805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.156456Z digest=sha256:2811000d3b079a12433ba0ca4b5c3f76b5507fed11a150fc8efdd74666b45222

Observation c1022bdf-ff65-4165-9b18-baf8cb3ff0f8 · outbound

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

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:54.249845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:54.249845Z digest=sha256:0d85f1b9aec477be5f74a4529a14b1db0739734eeb93df98279d5585d0a18234

Observation fdb9f6e8-1589-4dc2-b6a9-168d61d63c51 · outbound

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

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:00:00.260244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.310220Z digest=sha256:7b0e01082194ad025821c09b998afdf70ab081f1261a7cccc5e3e3082c91fe44

Observation c8053724-86a6-4185-b100-5bf99e0734f4 · outbound

This paper cites In: NIPS, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: NIPS, pp

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:00:00.086040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.364749Z digest=sha256:4c5e23e8ea7c1d308595d692c8dbd3d723a3a0e217042bc998534001db0d8b6c

Observation 25886688-fc9f-4cb0-aa96-61f034046656 · outbound

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

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:59.894016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.431100Z digest=sha256:ee1783bf4c0b8e3906827367b5f15efe1cdd9e398be471a7db1f1753afea21f7

Observation fbd079cb-3a7c-48c1-b3aa-a9369d92354a · outbound

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

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:59.748071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.564734Z digest=sha256:be8256ae6549becd86b50b01119b3b5f1c2da6a0399fe18f127b940caa29ae4b

Observation d9f3f04d-840a-4dfe-81e0-9c43d86be98e · outbound

This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:59.626997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.662252Z digest=sha256:401727c188e6e857fd5a87b9cbeadef8a5729d04090a76db6e64bd8c1106e5e8

Observation 71124990-0016-4b96-831e-be0b17ffc1d6 · outbound

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

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:59.456568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.725820Z digest=sha256:0d399a26dd2907916b042c65c1c77c56a892e25489296457b6fc13296bd31ae0

Observation 49a58b24-2ace-47f9-9399-ad8de713b5df · outbound

This paper cites In: Empirical Methods in Natural Language Processing, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Empirical Methods in Natural Language Processing, pp

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:59.305845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.794738Z digest=sha256:6dc5149a0089f4617fc9d368d3d3fff95d531de0def674a0419acaf9b3011d67

Observation 053ccc3f-7ab8-4116-b7eb-b07f2d718ac0 · outbound

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

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:59.028696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.852814Z digest=sha256:f9e42241fd1c594774998b4c943c25df62c75c2d54e8b48b05a950018dc47b63

Observation 35b35c7a-3c73-4947-a7a2-f5c7109d345e · outbound

This paper cites S., Fan, W., Zou, Y.: Exploring and distilling posterior and prior knowledge for radiology report generation.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning S., Fan, W., Zou, Y.: Exploring and distilling posterior and prior knowledge for radiology report generation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:58.843200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:54.914531Z digest=sha256:b368203b8d5186a46064329ac794e64adeff78d2ffc2abe4c2ec1f81a2760c5d

Observation 2065fc4e-0327-45af-8d5f-7c58c6aa0894 · outbound

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

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning arXiv preprint arXiv:2106.06965 (2021)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:54.993669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:54.993669Z digest=sha256:ff22c3a64ed2230b0a3f104cddcec31f23f5b0a95c9d01654f7dd30d425f7702

Observation 4c86d8c7-2da2-4303-afce-0ab3823e3168 · outbound

This paper cites In: Proceedings of the 59th Annual Meeting of the Asso- ciation for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Proceedings of the 59th Annual Meeting of the Asso- ciation for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, pp

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:58.569526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.068826Z digest=sha256:221fee9ce5c0f73e40b80f559655625f183a9bdd94fe41b10a1f3100a8025dde

Observation 55f87f11-b3d8-4ded-b9ea-93ba816432bf · outbound

This paper cites In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, pp

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:58.316562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.134423Z digest=sha256:c0d91d787892622bf14c8de90abb27c0dc7c09b3e7275fe1bab501e3f7bdd81c

Observation a2511461-46c6-4d47-8671-e5caaba479d5 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Medical Image Computing and Computer Assisted Intervention, pp

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:58.153226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.189003Z digest=sha256:0385b5ff825b49ad02288f699a5918512f423c384e0a3c0b02ec12a1edb333e7

Observation f1c465c2-99dd-4bdf-8741-3f3962278ecc · outbound

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

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning Progressive Transformer-Based Generation of Radiology Reports

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:55.264810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:55.264810Z digest=sha256:e00d247afff3b1f3c2fee66a65a826264c7a8cf4c2af6eedf024fddfbade6ff1

Observation 2e4f6302-975b-46c5-b563-1f5d92710f0a · outbound

This paper cites In: Findings of the Association for Computational Linguistics, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Findings of the Association for Computational Linguistics, pp

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:57.972525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.323740Z digest=sha256:2bf3f43c9c34d81fb25b5e08c1ed8e5fc274f7b91f4f1c5b71eb7bda01962faf

Observation 410cc020-ada8-4c5a-bfdb-148ede170c36 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: European Conference on Computer Vision, pp

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:57.763488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.376393Z digest=sha256:abdf7425932f41005ffbc87d9b312fbcfef8f0d198de8d44dbc6a34efc6f063f

Observation 4e2da5f2-0c19-4e32-999c-903e05d6af6f · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Medical Image Computing and Computer Assisted Intervention, pp

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:57.566797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.452379Z digest=sha256:d55fbb88fccaead66184f51b03f2e8ef7a3d566e4310562083aab7edac2c3f71

Observation c40eb4dc-c695-4487-abac-84c6d5b77d71 · outbound

This paper cites Medical Image Analysis 86, 102798 (2023).

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning Medical Image Analysis 86, 102798 (2023)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:57.399958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.503228Z digest=sha256:3179f08985f2f14bfabefcf92ddad2db023642f0a363df02d270ece758d98aee

Observation 7322e314-920b-4ee0-a97f-4e3ca94c678b · outbound

This paper cites IEEE Transactions on Multimedia26, 904–915 (2023).

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning IEEE Transactions on Multimedia26, 904–915 (2023)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:57.201300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.574758Z digest=sha256:23048fca825f6d67d4434fadbcf8b89d1836f111f1369c5bd4fcff433fd1095a

Observation 0a416909-42b0-418d-b615-5243cc1f0163 · outbound

This paper cites R2GenGPT: Radiology Report Generation with Frozen LLMs.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning R2GenGPT: Radiology Report Generation with Frozen LLMs

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:55.629292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:55.629292Z digest=sha256:47d7b154bb819cb3674b3866ade214a770c1ccff22db9719d362c2c5bba84883

Observation 69695c0a-54ae-4d5a-8a3c-14f8d6c7c396 · outbound

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

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning Cross-Modal Causal Intervention for Medical Report Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:55.690696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:55.690696Z digest=sha256:51ccd28be6a091206f6f4fc07eebba5ed242f70262511a82a093e6a65dd3b0e7

Observation f6ee3f31-fcef-4773-b8a1-a01471f50724 · outbound

This paper cites RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:55.746085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:59:55.746085Z digest=sha256:f97b5ca6e5f665d109314f4f353689aef26f820f1858562a39096cd36c9a713d

Observation e24bba13-f382-42b9-8c52-ac08c692bcfc · outbound

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

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:56.937727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.803171Z digest=sha256:832334010c74c494b5a903912e3eaaaa90b15859dd55aadcb776cf46f2e45a09

Observation 9c795e93-3ab8-483a-8d16-47b5412d7098 · outbound

This paper cites In: Association for Computational Linguistics, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: Association for Computational Linguistics, pp

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:56.775626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.865842Z digest=sha256:dc4f30bff4925d6dfe338b94fb9be14da2d8a2dce166645bdf7b5f6fb17e600c

Observation 2b3a1a6e-9c9d-4829-97c0-f6b61bb80702 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: European Conference on Computer Vision, pp

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:56.481025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.934153Z digest=sha256:7959c4575efa95cdb9d0ce78712c02f35f24d63de2c30a4fb1df9bd80a71589c

Observation 6ca8eb6c-adc3-4952-ad10-f0a19e305ee3 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning In: European Conference on Computer Vision, pp

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:59:56.371110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:59:55.962914Z digest=sha256:96db14b371df907decfdfe441c6c1c914498c42200ab6213191ded0c08d3759e

Pith citing papers

Observation ed2b2f6e-6263-4315-975b-ab2167c5d88e · inbound

NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation cites this paper.

NeuroSymb-MRG: Differentiable Abductive Reasoning with Active Uncertainty Minimization for Radiology Report Generation Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:26:27.084585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T18:24:36.430308Z digest=sha256:4d8f5ce1346b469abac9ee5b8bf018075b91095b21f05d35ec9d6f57f9bc0510

Observation d6a406ea-5670-4476-ab96-3b13e47e3ba4 · inbound

Towards Real-World Ultrasound Understanding: Large Vision-Language Models from Multi-Image Examinations with Long-Form Reports cites this paper.

Towards Real-World Ultrasound Understanding: Large Vision-Language Models from Multi-Image Examinations with Long-Form Reports Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:08:36.870787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-03T15:59:52.903025Z digest=sha256:4abc6162bd8a5b775caeb504dad768d3bd1a79b5d7ecd67291ec2ef5f40a60ce