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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.042731Z digest=sha256:a74202fc8a97b0bbd45962fab44e150a1f3327498f83c4f33a57a8176eb95fc6

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=sha256:395d4188dd8c1d2fec5dbf4513649663694bf8945ca01b4968f7dc8fb39b7218

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.156456Z digest=sha256:207fb0d0c1ad4e5a55a62fa262563cc6ae8bc13e1707c7c9a0ecb3bfc7245256

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:b93963d87e535f71ce7ae302efd7b0f60cf4078bd3c1afc1ff1b247b90d66f8e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.310220Z digest=sha256:6d51f47bfce865b47e443fb4b89a0ec1ae798f9be10b7475390c121829fe2d64

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.364749Z digest=sha256:419139c55bc94690d578e72c79ecb2348c7e04d5de5947e5d7b4325d1736e8c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.431100Z digest=sha256:c0dd3d3c46106f1b9125bb194c40874996047063341ae5dbd692fbc656358770

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.564734Z digest=sha256:88bbcdb6edf34c4aa638dadc6ec1cbcfb9f473c82bfb9513fa20d805549e5368

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.662252Z digest=sha256:8605549d8b545c521fa8db9f22c56a7dbaead64facf75b2b49ef644403fb04af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.725820Z digest=sha256:234dce9104f07078ac9cd6248495f245ef792a97187fd55622e8cff56dbae577

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.794738Z digest=sha256:2b49dc06af5c7e63bae9542567c67a7b8f03dcfc37398c76391f7ca8ddf0bf02

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.852814Z digest=sha256:d546780fe2ffeac7297096f2715a383dd86e0095c40be10d6ff860bb9c67a15e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:54.914531Z digest=sha256:28e3b73026f7e23a181dced5bae760739ba42ab29a3c1ad5547a4aca7ff52f27

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=sha256:4760aae9bb6f56a94f14d87b9c84c27a845c9f58a67b22bd28f28b145c74a72d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.068826Z digest=sha256:12f3e15763ac7581b204e2a2d64be543109e53dd08a053cac4fa91c1b1e2459d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.134423Z digest=sha256:ad687bf40f97cdefa47af1725a06867db83c23bdc75b5441c7e08be7e26ed53d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.189003Z digest=sha256:84bba0abadac02346892cdd2c055bd742b70cf15e1e8a3fecdc969711da56781

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:e401dc9a69e02453f3ef9a8fb23f1b979f3d7c3ce12cda091752148a31d9e8f0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.323740Z digest=sha256:4e2b28bdfb29b0e6b0b4b0017b428781576550f74f6c7041a7dfcc14c0240493

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.376393Z digest=sha256:efed20d45c0fb532088f019fa45564e201ff78783e8fae3fd9d6802c91622a4f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.452379Z digest=sha256:5a3df3783a37dd6dd5f64b5419cb2277269dc80d26a1949a902555d12f228919

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.503228Z digest=sha256:6927f815f698e9e1b946fd608d2ee4816ca1448fac6915e0c2767d716c1fdec2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.574758Z digest=sha256:5e9fd7fa58e6c7e83f18995d177797e437287d20d187635450347e9da39b5f9c

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:fe5683f2e6f3eb9c5015169dfd913399fbf8ba3056acb2bda552295306e4fd5b

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=sha256:8fe1017ad0d2f57d550d9c56af9b165f2e1c6b4f7b8b2e881a5ddf457ec5aa93

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=sha256:53bfb7bbc2d2e659b8ca1e8af0bc8e38340b54d2a5dbe06c072ea8f99f96322a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.803171Z digest=sha256:b8d834e75542e5ec7bdf9a6072320bf9c6b9e98e7d56f61ee0ebad42671bd810

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.865842Z digest=sha256:b677eb3ff829c989b893c61c4db34997ca05d961c454a8800082bc57102cb6f6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.934153Z digest=sha256:0f81fc82df23e2244c5696cd3505e43a8a296706c8f94f26edfc37d4d3b7401a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T23:59:55.962914Z digest=sha256:91419621d0aac6684ed841e6258219c781f229f112ba2ac677deb2a618aaf622

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T18:24:36.430308Z digest=sha256:69fa5c7473cfcfeef29129ef6d4b9d11e0c5c2a1e9e7b93e5fdd07eb8e56891b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T15:59:52.903025Z digest=sha256:49fb447651751e9ba52df490f655f9b848a0ad32b3f42497bf9f9c254809e49c