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Paper Citation Record · LEDGER

Generating Radiology Reports via Memory-driven Transformer

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2010.16056.

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

pith.paper-citation-record.v1
2010.16056 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:59:48.642603Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T23:26:36.921604Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 18ed1c1d-c806-4ae3-af51-32c526720503 · inbound

M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation cites this paper.

M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation Generating Radiology Reports via Memory-driven Transformer

Reference 11

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arxiv_id, observed 2026-05-23T22:05:50.480336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-23T22:03:33.418989Z digest=sha256:9c3a85ee64af1852e6cbf5809111fce9e9c50d6e7dbe9c6827416631c8f69ce9

Observation e2d1c332-c875-4dd4-90d7-7a47e2b6e601 · inbound

A Survey of Medical Vision-and-Language Applications and Their Techniques cites this paper.

A Survey of Medical Vision-and-Language Applications and Their Techniques Generating Radiology Reports via Memory-driven Transformer

Reference 3

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source=pdf_text observed=2026-08-12T17:52:01.534054Z digest=sha256:8b434e25450b36c6e4df3997f34cfed807af19d349ee9ed9fb037bea64d71a5b

Observation 7c5616f2-7f3b-4c9d-9f3a-bf96baeab625 · inbound

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation cites this paper.

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 6

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source=pdf_text observed=2026-08-12T14:31:59.440162Z digest=sha256:52802935b3643fba2b8aa939d3dbb4f385eac53093c3d5087458ec8b435afcf1

Observation 98fbc6ab-b702-49db-b5e5-845be3b9daaa · inbound

FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation cites this paper.

FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 4

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no resolver link, observed 2026-08-12T14:23:58.099979Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:23:58.099979Z digest=sha256:af0945903ffa337280277023a85a972928ce3e1fa33f0ab933ff98532608cbf7

Observation 5c1769ba-6e71-4cb8-8228-c3c218338590 · inbound

Large Language Model with Region-guided Referring and Grounding for CT Report Generation cites this paper.

Large Language Model with Region-guided Referring and Grounding for CT Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 11

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source=pdf_text observed=2026-08-12T14:15:56.011861Z digest=sha256:e718cc90b515df3a04a212ed1de3f786b5bdb6b73784107f723cda69e4185f2a

Observation 33765ad9-f5b6-44e7-b120-422b62f352dc · inbound

Libra: Leveraging Temporal Images for Biomedical Radiology Analysis cites this paper.

Libra: Leveraging Temporal Images for Biomedical Radiology Analysis Generating Radiology Reports via Memory-driven Transformer

Reference 17

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no resolver link, observed 2026-08-12T10:20:44.745260Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T10:20:44.745260Z digest=sha256:4ed05b9f574cd631f3dd924910c4c694a6b19bc0e19ccb4b31dc4bb5c4fc2953

Observation 4385481f-eb54-4711-b5af-9e0942ff4fd3 · inbound

Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions cites this paper.

Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions Generating Radiology Reports via Memory-driven Transformer

Reference 148

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no resolver link, observed 2026-08-11T23:17:46.359903Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:17:46.359903Z digest=sha256:afbab95a26746cdc2976f12c230cb6f77b39f16e988980fc5021702193e28ebc

Observation f7a86868-3fbc-4929-b164-2d2336c2a4a9 · inbound

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting cites this paper.

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting Generating Radiology Reports via Memory-driven Transformer

Reference 48

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source=pdf_text observed=2026-08-11T22:59:57.578075Z digest=sha256:57d4ecb1e69087c0ecff3c8d3875d3afc81bf916f4119d9a583964748d6afa65

Observation 430ddbf9-5b9a-4623-b0c2-e89a349e468a · inbound

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment cites this paper.

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment Generating Radiology Reports via Memory-driven Transformer

Reference 5

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source=pdf_text observed=2026-08-10T20:44:56.366750Z digest=sha256:b33c23febe2abe7c975264ef8a4881383009d56f851eb1fe1b883c5fe145db5a

Observation 708d28d3-58f0-4ab5-a1c7-23711dfa1630 · inbound

Image-to-Text for Medical Reports Using Adaptive Co-Attention and Triple-LSTM Module cites this paper.

Image-to-Text for Medical Reports Using Adaptive Co-Attention and Triple-LSTM Module Generating Radiology Reports via Memory-driven Transformer

Reference 29

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arxiv_id, observed 2026-05-22T23:35:13.546684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T23:32:49.136132Z digest=sha256:7534a047effe5e869cea19f248400ea3bedbe72fe193c08d601aa7ac1c6a94a9

Observation 7938f713-d0b5-4eb8-8933-d7e7b6b186e5 · inbound

Describe Anything in Medical Images cites this paper.

Describe Anything in Medical Images Generating Radiology Reports via Memory-driven Transformer

Reference 2025

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:59:48.642603Z digest=sha256:7e12e0639f3ae94efe07468d575e8152eac3ffdccfd2582c8161af947d75605c

Observation 96cbfb21-ee70-411f-a453-4eec7093a69e · inbound

CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering cites this paper.

CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering Generating Radiology Reports via Memory-driven Transformer

Reference 9

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no resolver link, observed 2026-08-07T15:08:27.177115Z

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source=pdf_text observed=2026-08-07T15:08:27.177115Z digest=sha256:f6e4f4a070e2e0c6b3fa7a372a3e640653628dffcc18eecffd3c13f0d0352fd4

Observation 356cae05-aaa9-4341-be37-90557e6eca53 · inbound

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs cites this paper.

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs Generating Radiology Reports via Memory-driven Transformer

Reference 2

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no resolver link, observed 2026-08-07T14:32:29.093387Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:29.093387Z digest=sha256:6000fce3ac2cb6af3a7e6595c32dc042e9d93f24ff3c706721e49e2bcb8f13fc

Observation 4de51c9b-07d8-4ae6-98a1-d4a92f3598c3 · inbound

Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2 cites this paper.

Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2 Generating Radiology Reports via Memory-driven Transformer

Reference 47

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source=pdf_text observed=2026-08-07T13:31:09.174584Z digest=sha256:49135b68f005fa81a862c4ddd7ebb8b419f2835d29683cff95e323e0cfccdc70

Observation e8d6f29a-fe83-4975-9689-64eb48650dce · inbound

Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning cites this paper.

Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning Generating Radiology Reports via Memory-driven Transformer

Reference 10

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no resolver link, observed 2026-08-07T12:57:02.574810Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:57:02.574810Z digest=sha256:51d6a8cf6e4683f9614438bcd18ec694d498a52aad0656dbebfddd954c41d085

Observation 7c4da0c0-a9bc-41bd-8da9-3aa4afd0d2f5 · inbound

MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility cites this paper.

MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility Generating Radiology Reports via Memory-driven Transformer

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:14:50.723407Z digest=sha256:dbc0e9a735cf13953b2e193c4d0622175516e2cba6d2f116ee064b65260f25cc

Observation d3a67f2d-5817-43ba-a006-2bdc26bcbf48 · inbound

LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning cites this paper.

LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning Generating Radiology Reports via Memory-driven Transformer

Reference 31

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arxiv_id, observed 2026-05-19T13:43:05.454745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T13:42:45.720290Z digest=sha256:7f5051d7d643f32048cdc1c32acaba5239f8b2f2bec0f262ab50b280f06d1235

Observation f0ac4aba-7a16-4144-8354-d4a3d4589229 · inbound

Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation cites this paper.

Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 6

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no resolver link, observed 2026-08-06T23:21:42.155114Z

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source=pdf_text observed=2026-08-06T23:21:42.155114Z digest=sha256:77e0cc5cac452ab17694aee56d84563287377c6075775a5b62d0bb3ecac8c530

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

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation cites this paper.

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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source=pdf_text observed=2026-08-06T18:54:37.075229Z digest=sha256:687d03bd6524b27aa8695ded2b9c09fcda6b9c724d50c34448d285aa8af04809

Observation d504dc60-88db-48ec-b52f-f26993d8d51c · inbound

Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation cites this paper.

Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:40:54.869300Z digest=sha256:b52ec3d79c61a3e529b98aa949dca5b1dd0cc8e581553276da13cfac26cd53de

Observation 9a70e230-3415-4cad-92f8-22558aba54d5 · 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 Generating Radiology Reports via Memory-driven Transformer

Reference 6

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no resolver link, observed 2026-08-06T04:32:13.727759Z

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source=pdf_text observed=2026-08-06T04:32:13.727759Z digest=sha256:599697ffd803a97f8b5a8657ae911aee9469e15314978da3edef8bb069ac548b

Observation 3044cb98-78c8-43f2-8685-a534f1c379f4 · inbound

AMRG: Extend Vision Language Models for Automatic Mammography Report Generation cites this paper.

AMRG: Extend Vision Language Models for Automatic Mammography Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 4

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no resolver link, observed 2026-08-15T17:39:55.869388Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:55.869388Z digest=sha256:99931de88d19872b06ad7e6fadb510e6f0833faa24e99a576233b0740eb9ab33

Observation 504893ab-5fc6-40ac-bb57-e0f09c5016b7 · inbound

Automated Radiology Report Generation Based on Topic-Keyword Semantic Guidance cites this paper.

Automated Radiology Report Generation Based on Topic-Keyword Semantic Guidance Generating Radiology Reports via Memory-driven Transformer

Reference 3

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no resolver link, observed 2026-08-04T17:33:42.796166Z

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source=pdf_text observed=2026-08-04T17:33:42.796166Z digest=sha256:d45181c6b89b95b374ac2834f94435eb79d02171887211371c1851ee8e038b1b

Observation e8759374-2d34-45ba-80ca-d4dfade729fc · inbound

Medical Report Generation: A Hierarchical Task Structure-Based Cross-Modal Causal Intervention Framework cites this paper.

Medical Report Generation: A Hierarchical Task Structure-Based Cross-Modal Causal Intervention Framework Generating Radiology Reports via Memory-driven Transformer

Reference 5

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arxiv_id, observed 2026-05-18T01:45:36.998702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T01:45:29.400398Z digest=sha256:e72c22f12b3411c4d74c45e1471d1e9baf37c9ab96bbd2eb650fbb07784577c6

Observation f100bb16-585e-4ba4-9ae5-41b9193f94d0 · inbound

Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation cites this paper.

Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation Generating Radiology Reports via Memory-driven Transformer

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:01:41.380237Z digest=sha256:63b0c93a31da931b91a1dd557d0553bfb7778932291dd1700c265db8621d3909

Observation 8a9c87cc-cf83-42fb-a6d2-8455e40cc723 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Generating Radiology Reports via Memory-driven Transformer

Reference 7

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no resolver link, observed 2026-07-13T14:28:05.261852Z

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source=pdf_text observed=2026-07-13T14:28:05.261852Z digest=sha256:1173424da7ae223d863ccd05e97cc774331d1163ea501c0beeece2f3a6abdb62

Observation 935eba81-59d8-4e75-a3d9-b5a1513b8620 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics Generating Radiology Reports via Memory-driven Transformer

Reference 7

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no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:44:19.622453Z digest=sha256:e9d81026eb001280ece9fa2935d18fe31d792efc8bb1deb229cf1101289c1e1d

Observation 2f5368ef-569c-4e3d-ba6e-fa8ac8eb3270 · inbound

Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation cites this paper.

Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation Generating Radiology Reports via Memory-driven Transformer

Reference 9

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no resolver link, observed 2026-07-13T08:39:01.975337Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T08:39:01.975337Z digest=sha256:e200e171ba88449e2770ebf9d7d41f763c6dc7c6c0704cfc3f13ad7b61af775d

Observation a4951648-307b-4b20-8c2c-4110f66502ad · inbound

A Utility-preserving De-identification Pipeline for Cross-hospital Radiology Data Sharing cites this paper.

A Utility-preserving De-identification Pipeline for Cross-hospital Radiology Data Sharing Generating Radiology Reports via Memory-driven Transformer

Reference 9

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verified exact
arxiv_id, observed 2026-05-11T05:30:59.552081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:05:54.328413Z digest=sha256:2d34592a48a9868533a9baf313298af9b24f80fa63deb37734e8dc5b1049413a

Observation 5696cd42-3627-489e-a154-34ad32062d86 · inbound

SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learning cites this paper.

SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learning Generating Radiology Reports via Memory-driven Transformer

Reference 5

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metadata mismatch
arxiv_id, observed 2026-05-11T08:11:03.236780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:47:07.376206Z digest=sha256:1435a6454e45d9a9a3ddc2e01f568e191aa396cf39ccc72e0c0cc9d52188243e

Observation 7f52210f-b72d-46ea-9240-3943cd91dd5c · inbound

Adapting 2D Multi-Modal Large Language Model for 3D CT Image Analysis cites this paper.

Adapting 2D Multi-Modal Large Language Model for 3D CT Image Analysis Generating Radiology Reports via Memory-driven Transformer

Reference 33

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arxiv_id, observed 2026-05-11T08:20:58.284897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:43:02.337806Z digest=sha256:dff2cf3108e5426228dd48b590881b9476d95f60ff25334d6d0d3a27db25a55c

Observation 5da1d8fc-883e-47e0-b039-ef3fdabbc281 · inbound

Exploring Radiologists' Expectations of Explainable Machine Learning Models in Medical Image Analysis cites this paper.

Exploring Radiologists' Expectations of Explainable Machine Learning Models in Medical Image Analysis Generating Radiology Reports via Memory-driven Transformer

Reference 3

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verified exact
arxiv_id, observed 2026-05-11T11:16:10.591241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T15:02:13.951049Z digest=sha256:19398a6b3b2c9f92969b65cb0a0632239320bda2f5badd519ee599b9f58c2834

Observation b3e291f0-c0f8-4aef-9bd1-e55499a76d7d · inbound

Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning cites this paper.

Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning Generating Radiology Reports via Memory-driven Transformer

Reference 5

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arxiv_id, observed 2026-05-10T14:10:28.728157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T14:09:06.139625Z digest=sha256:36ef7375a8de56f600d18e639621dd505f7d68d1bf31195e40ea7388150394ed

Observation d813578a-c726-435b-90f1-56719bce46cd · inbound

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation cites this paper.

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 11

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arxiv_id, observed 2026-05-12T09:41:26.006293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T10:00:25.846913Z digest=sha256:fc247c31378a8d5ac1bac9fef5b89e9f3790af3581ae236c99b050d91339beb0

Observation a7acadd9-1725-4e9f-929e-692c180a45d6 · inbound

Semantic Context-aware mOdality fUsion Transformer (SCOUT): A Context-Aware Multimodal Transformer for Concept-Grounded Pathology Report Generation cites this paper.

Semantic Context-aware mOdality fUsion Transformer (SCOUT): A Context-Aware Multimodal Transformer for Concept-Grounded Pathology Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 5

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verified exact
arxiv_id, observed 2026-05-11T16:01:17.015193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T18:54:48.961231Z digest=sha256:c4ec57919dc40f79aa294d73833c25f0568e5ce693d5a4847eeeff93b4ca96b8

Observation 68104a98-2f87-43a6-9342-cb0c8ee4525b · inbound

MedScribe: Clinically Grounded CT Reporting through Agentic Workflows cites this paper.

MedScribe: Clinically Grounded CT Reporting through Agentic Workflows Generating Radiology Reports via Memory-driven Transformer

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:55:30.991954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T19:22:09.493354Z digest=sha256:2aafeb01a3fe50653ca643a5789d7c42a19611ab6f843a72bbd2e6aca76913ee

Observation 7f106bf8-174f-4c17-9ba3-f4f1eea35a1c · inbound

RL-ACRGNet: Reinforcement Learning-Based Chest Radiology Report Generation Network cites this paper.

RL-ACRGNet: Reinforcement Learning-Based Chest Radiology Report Generation Network Generating Radiology Reports via Memory-driven Transformer

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:26:22.356868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T14:23:53.177522Z digest=sha256:48e822457d0d042cc85447e8f77f4e72f7ff8fa60ea36e7e99db696f2c497df9

Observation 73963f65-75c2-447b-99b7-2d702786863c · inbound

When LLMs Analyze Scars: From Images to Clinically-Meaningful Features cites this paper.

When LLMs Analyze Scars: From Images to Clinically-Meaningful Features Generating Radiology Reports via Memory-driven Transformer

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:08:58.720714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T00:50:25.901001Z digest=sha256:9957b5e6a5bde07066e60cda99f1da450415d752941354795fe14b05e7858cca

Observation 889de1d6-d802-4934-a2e7-f95e8a50a4aa · inbound

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning cites this paper.

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning Generating Radiology Reports via Memory-driven Transformer

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T06:29:37.828798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T14:24:49.321248Z digest=sha256:5d4f118a096c66d60d041e1ea73d4f6c622dde51deab89cedc89646f6ce5ce20

Observation 43dadb60-d124-4393-b933-44fdd70d2e5e · inbound

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning cites this paper.

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning Generating Radiology Reports via Memory-driven Transformer

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:19:02.350684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T23:16:52.446951Z digest=sha256:7d60f137cdee9570a704d512288d55f7db8cfcd41e37a65cea2ec4a29ec6efe5

Observation cda1ce9c-a443-4447-acb8-636c77c16181 · inbound

Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation cites this paper.

Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:45:40.566444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T06:10:32.156961Z digest=sha256:2b1fe12167b007b61d3a5364f307446a6b25aed1dfff9fe3ee97be5dd3452044

Observation f5d62ddc-f19e-4a58-b03c-47454ede4402 · inbound

Seeing What Matters: Lesion-Aware High-Resolution Patch Discovery and Fusion for Chest X-ray Report Generation cites this paper.

Seeing What Matters: Lesion-Aware High-Resolution Patch Discovery and Fusion for Chest X-ray Report Generation Generating Radiology Reports via Memory-driven Transformer

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T23:26:36.923424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T23:18:51.703831Z digest=sha256:9e17a1d93e6fe0989a523a4d9a7ec8bb4a66b80a1c2376e72b71df07b40862cc