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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.042731Z digest=sha256:ebf1743ab9631a5cdea1a3e1119a62c7b8679cad03e2ec5396e71628bca9d01f

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=sha256:08b79c3f2500e7d228be65a25003c002afd3cb985ea1e62974b9f2112c20aa06

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.156456Z digest=sha256:c632a993d6b1d2076be42d550dbe652fbb4fffe56845b466b0eadf38fdd69756

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=sha256:2b9ccf8e5a2eaf7884c547631cbd436f393760a6b7df63fe7ca0083e4d3569ee

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.310220Z digest=sha256:60b01688589bcb121958d210d494e4de4f401568a2178039eec61053fadfd529

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.364749Z digest=sha256:f1316e9f6fff8f431bc151bef4603032406971914a0a31ca4dc3966badaebd4f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.431100Z digest=sha256:7e43bdeb23b35c80b94364098a2458886ec16f456332fb2715f2b98ce736885f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.564734Z digest=sha256:2be448dd9e61007c68fc5c4d78af3d81aae7599a0e031bafe909b23a96100bc2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.662252Z digest=sha256:dc69365ef3c56086a8cb3df304dae0799b24e43156998a63b2d2be81959cd082

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.725820Z digest=sha256:ce5fb958ce3bc6e47bb02c3dc6185e873afedc46a0c720317f0a84fe205cc462

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.794738Z digest=sha256:6a57f07e7c6bbd6ba06d850b32305fabeef095c16b6befb5477b1fdd20511a1e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.852814Z digest=sha256:431f0cf694befc9c79b2905a537f4f1204f8566de4927d65efbb6987846edd9d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:54.914531Z digest=sha256:2b430d0e35e095d07d1831ac90ff14200c7d877305f88547f513af7cd3f5191d

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:cd5ebab06ded8e5371b7930d6561c75e9561f034bb6504d5daf1c58e056e41ce

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.068826Z digest=sha256:c20076d0a7aaf4b680b48d03835449f05573478014658e2addd639e576a28aa6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.134423Z digest=sha256:47f43b7c7959303a27c9f8183f5eae54f18941c8c7e312e0d68df6c882442972

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.189003Z digest=sha256:40c6c9f6b08b8c9eb0f7680b1e6fe7af9c63295145b33a8bdc3b54fed36eee5d

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=sha256:5a5894c84d328b57de54cf8885ce182d7bd43312105f8d56690830d061783973

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.323740Z digest=sha256:d70568db01d7c0cba4fc40a45e6446d7e6a49e8324abb00fd2c2a04b1e698cfd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.376393Z digest=sha256:3f3a2e9b7d7a82db050951dacf9ed7f7534821d1f84ecf7eae6496637adf16ea

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.452379Z digest=sha256:142a37bd3ea1600f96eb2a864067578e17ce3ceed039c81475a904b9a9870ab6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.503228Z digest=sha256:6ad203666d3064d71f2a321925449fc4a3a5438583218d45fe2cec671dbd23c6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.574758Z digest=sha256:637bea09104f126df1f2bc358969963a19b554d5d41a1f236b8f986a3e169e6f

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=sha256:05f93e842bf88f7a9e05ef7d912ad7e5abe4b83bd59fd75a5c04fb4166cae894

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:f5742abb32cae8d7fe280e6e4c62d225f9b39d9718c126e312c0727c0bd34f84

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=sha256:388e554d11fc24cee4bdc5aeb29063b91848c70aa3c792d471ba0ad1c07347b7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.803171Z digest=sha256:0d05fbe83676585e635de76340cce5026a345a33f07532112ac84506aa594e3a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.865842Z digest=sha256:08270cb5d62f6e739f761c12b56aadc8cb4859e20f92dec4c3f888e8158953a5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.934153Z digest=sha256:271d174b2529104cd318918f5a66a607ef9758c1184800d3219247450ae43c59

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T23:59:55.962914Z digest=sha256:d3b417edf7285ca4ead9e0bc1bf30f8f7f5cd4e2d17dfcdcf9d38744b41bcaae

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T18:24:36.430308Z digest=sha256:5105fc4dd640d81dc89b8b28190ff3650106dd274cf22a034dfec0ae89af4600

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-03T15:59:52.903025Z digest=sha256:38da015aed82e5c24fc9ac1d369f32b0c1cb6d5162cc4c8e2e9b2bf9a4571608