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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.042731Z digest=sha256:c2c9819dacf2b63c7d24898c39b609af748d5382a5072b0b4e6ce67e75a0b32f

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:a944fd76ab1a76668b59f6c5203c3a1933e59d3d9ae80193366a9732fc773bf2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.156456Z digest=sha256:726ad9e9dc8fea49408867bf98c488c64e3a6df7e3a737d317db09d713c3f8e2

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=sha256:1ff058a1bf0752940dbd526b6d4c29dff5c8fab62f40b440e46a5b3433ac2b7c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.310220Z digest=sha256:ae95fd32454620676cda1fcbe2c485e95f23b537fe613a4ad6b392ff824db178

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.364749Z digest=sha256:dc65105e42f5acceed3eeed4bfd49edb1973d926a72fb5ea1bbfc97079cad06c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.431100Z digest=sha256:8b9885fb9b6d0f9255f90435b2297d2d65a38b8187d216b230402eeb0a5c4ec3

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.564734Z digest=sha256:b8a6c9b12a7a8e44a24a2a97eddbf91fc3518c853e91bfa79f858b4130e26285

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.662252Z digest=sha256:4c604231bc360e8db26c5065b04755963ec74a158989c39d8140370b5fc6042f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.725820Z digest=sha256:0093d84a95c0881ba345d1f6d64b42ea4a280ebdfc9f527d04bcea9031623e69

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.794738Z digest=sha256:cfdb5aab38d36e0462d589918e3887a66c541282ee403984e34f60afdbdd02b4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.852814Z digest=sha256:02ff90786f372e94978ae07de2784ccd1e41f7d474a07abfbe5b94d3c541e390

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:54.914531Z digest=sha256:0c948cec4bcd23b15515af46e1e4840b578f33261845956cb014506807748217

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=sha256:1babf26b146ede2b8cf2bfedd3a6d8def23684e90a7fd6519dd5c3b71463130a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.068826Z digest=sha256:11d7d26ee098383beb1af19992d4fb528826c477f688d4f8945d25fd9f3b4afd

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.134423Z digest=sha256:3a75ff98994fac06baf1eb6525e65cfc6ba6f7fbccd477c9f1b3a4ee57000e0b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.189003Z digest=sha256:4bc774080d441b601c483b7b6b3faf3deacaa4f557a3bbadb2f0e4520f008ae6

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=sha256:58e95e316c51337d6a456e48b79474558d306e4b048ac87a8a5cf02348792b2f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.323740Z digest=sha256:9d27f6fb9dee82010584b0d98da0031513b8a3dfccf160f3341c89f4da81250f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.376393Z digest=sha256:569a636651afd64a0c2c5ed5ec8d960a1f8e058a0e9fbf1b24eb0ac340026ca1

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.452379Z digest=sha256:f4f21cdd98a2aa51d839038ae94e5f3aa9c2736fe7fee03c0b8537374d5b6286

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.503228Z digest=sha256:9b1044a7a7bcb71b940e851ec00f5020312d33992c0ba67c30c4f3c7508f07e2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.574758Z digest=sha256:37ede47dffecb8d54a0ccd2e99e40c7e0a17f73fcf9fc7571874da50ad5c30e2

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=sha256:4d77f1e2e9e1e82aa44face67cccff8cab855063c0e5305a2c51bfdb4ab3f04c

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=sha256:55cf1022a4fdbe9a2bb41222cad888677e4d73ff6ee6993bb8961e083a8d6afe

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:db599acce067ae4417800fafc94aa5fb714c6102e10ef07b3f1604e60844fbdd

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.803171Z digest=sha256:37ad9c73723b1063739d5f69bf2c135680de7864b787d4e8c94d82e9573a9344

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.865842Z digest=sha256:c37108c8e23aa914c1f60bb046ce96d9745ad8f31eaf3ca774dc6b0544e3f189

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.934153Z digest=sha256:053704c8c61cf65cfdf83746ffe9811ad5b5c275cd0a9d1d18b5b1da1eef2836

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T23:59:55.962914Z digest=sha256:23796c65ece8659188b69659d06e201e9670e8bbcb0932e0976319aac8def3cf

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T18:24:36.430308Z digest=sha256:34bfc2c8e09688bc65ac89959c83bea7ff9c0d251b62172b09de284d8647ac69

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-03T15:59:52.903025Z digest=sha256:edaf5659a2020f0d1577b5b27f076d8e00243bc6c231944cdcb3a5c23d5a851a