Paper Citation Record · LEDGER

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation

As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2506.19665.

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

pith.paper-citation-record.v1
2506.19665 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:32:12.368913Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:54:41.933749Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:04:44.782937Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 367f08d5-a61b-4022-9354-8d86cc2fbe2c · outbound

This paper cites Generating Radiology Reports via Memory-driven Transformer,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Generating Radiology Reports via Memory-driven Transformer,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:13.168414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 28fb95c4-5a4d-4f79-9133-897db0be870e · outbound

This paper cites Ratchet: Med- ical transformer for chest x-ray diagnosis and reporting,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Ratchet: Med- ical transformer for chest x-ray diagnosis and reporting,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:13.153635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1969a769-dc09-4cff-9912-09564feac391 · outbound

This paper cites XrayGPT: Chest radiographs summarization using large medical vision-language models,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation XrayGPT: Chest radiographs summarization using large medical vision-language models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:13.136583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 180e9ed2-6054-4456-8ba0-2e7398734ee2 · outbound

This paper cites Automated pul- monary nodule detection in ct images using deep convolutional neural networks,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Automated pul- monary nodule detection in ct images using deep convolutional neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:13.119633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da48fa2a-df88-4086-bfed-01a3911aadd3 · outbound

This paper cites Unet++: Redesigning skip connections to exploit multiscale features in image segmentation,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Unet++: Redesigning skip connections to exploit multiscale features in image segmentation,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.155593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 125d1a6d-9d89-4ebb-9403-9ec3eb97f8c5 · outbound

This paper cites Unet 3+: A full-scale connected unet for medical image segmentation,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Unet 3+: A full-scale connected unet for medical image segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:13.095917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9cd81f06-d292-4024-bde1-30e12691d85f · outbound

This paper cites Sanet: A slice-aware network for pulmonary nodule detection,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Sanet: A slice-aware network for pulmonary nodule detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:13.078691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cd436671-ec74-430e-98a9-970cdf21850d · outbound

This paper cites Lung nodule classi- fication of ct images based on the deep learning algorithms,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Lung nodule classi- fication of ct images based on the deep learning algorithms,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:13.061052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d58d259d-d401-4a1b-a1e5-f3e757615fc7 · outbound

This paper cites Semi-supervised deep transfer learning for benign-malignant diagnosis of pulmonary nodules in chest ct images,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Semi-supervised deep transfer learning for benign-malignant diagnosis of pulmonary nodules in chest ct images,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:13.044603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a47d74a5-4f11-4fe8-9561-17c82b38dec0 · outbound

This paper cites Medical-vlbert: Medical visual language bert for covid-19 ct report generation with alternate learning,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Medical-vlbert: Medical visual language bert for covid-19 ct report generation with alternate learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:13.027359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cbba84c2-3204-4ade-821f-ea9ee0d6bdbd · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmentation,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Swin-unet: Unet-like pure transformer for medical image segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:13.011806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 96de92c1-6407-4ab0-a594-3305520295d2 · outbound

This paper cites A multilevel transfer learning tech- nique and lstm framework for generating medical captions for limited ct and dbt images,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation A multilevel transfer learning tech- nique and lstm framework for generating medical captions for limited ct and dbt images,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.994063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 64adb230-7e95-43b0-9dea-13c51be53730 · outbound

This paper cites 3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation 3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.193990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56244bfb-ed67-45a2-8988-2f80e98ebebd · outbound

This paper cites Dia-LLaMA: Towards Large Language Model-driven CT Report Generation.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.198866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 798aebe8-d62b-4fb3-a650-7e1e5543e530 · outbound

This paper cites M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.203692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c59326e6-4a23-44a0-9c05-3ed2fb40b3f9 · outbound

This paper cites CT2Rep: Automated radi- ology report generation for 3d medical imaging,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation CT2Rep: Automated radi- ology report generation for 3d medical imaging,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.978635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation af163ed8-d53e-4773-99a3-e5323732fd2d · outbound

This paper cites Generative adversarial network with robust discrimina- tor through multi-task learning for low-dose ct denoising,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Generative adversarial network with robust discrimina- tor through multi-task learning for low-dose ct denoising,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.964142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f627e1b8-aa3f-480c-a2f7-fb4346f16c3a · outbound

This paper cites Ct-agrg: Automated abnormality-guided report gen- eration from 3d chest ct volumes,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Ct-agrg: Automated abnormality-guided report gen- eration from 3d chest ct volumes,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.218634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc50a145-4d10-4287-994e-6ca53b752b03 · outbound

This paper cites Explainable artificial intelligence (xai) in deep learning-based medical image analysis,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Explainable artificial intelligence (xai) in deep learning-based medical image analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.949968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 76f4dd0a-0b75-410a-8c9e-d1100f39cb3e · outbound

This paper cites Granularity matters: pathological graph-driven cross-modal alignment for brain ct re- port generation,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Granularity matters: pathological graph-driven cross-modal alignment for brain ct re- port generation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.936427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19bcddfe-177b-4ab6-8a62-b77db346b3d3 · outbound

This paper cites Co-occurrence rela- tionship driven hierarchical attention network for brain ct report generation,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Co-occurrence rela- tionship driven hierarchical attention network for brain ct report generation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.923687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da325d47-66f0-4861-b1e8-ed5de4f01339 · outbound

This paper cites MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.237088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 649d54e8-ed4f-48ad-8ca4-503837bd8ee2 · outbound

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

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.241470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d7e8e9-b6a6-45b2-a811-2f070e7df6ef · outbound

This paper cites 3d u-net: learning dense volumetric segmentation from sparse annotation,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation 3d u-net: learning dense volumetric segmentation from sparse annotation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.245487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5757f897-6832-4329-b9cb-3e663e37f500 · outbound

This paper cites Unetr: Transformers for 3d medical image segmentation,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Unetr: Transformers for 3d medical image segmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.900222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fc3708e2-e4ff-417b-a52c-63add6bed9fc · outbound

This paper cites Swin unet3d: a three-dimensional medical image segmentation network combining vision transformer and convolution,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Swin unet3d: a three-dimensional medical image segmentation network combining vision transformer and convolution,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.884895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81006820-01af-4204-b949-980076001d63 · outbound

This paper cites AutoRG-Brain: Grounded Report Generation for Brain MRI.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation AutoRG-Brain: Grounded Report Generation for Brain MRI

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.258658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a548735d-fc80-40d2-ab10-601b05493a4e · outbound

This paper cites Unetr++: delving into efficient and accurate 3d medical image segmentation,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Unetr++: delving into efficient and accurate 3d medical image segmentation,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.263691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e7a6e5-aa89-40a0-a3c0-fc494ad37cf0 · outbound

This paper cites Generalized zero-shot chest x-ray diagnosis through trait-guided multi-view semantic embedding with self- training,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Generalized zero-shot chest x-ray diagnosis through trait-guided multi-view semantic embedding with self- training,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.859997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 071448da-0079-4beb-93d2-e8d96be952a9 · outbound

This paper cites A Systematic Review of Deep Learning-based Research on Radiology Report Generation.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation A Systematic Review of Deep Learning-based Research on Radiology Report Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.273289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba19b73-e693-430b-a337-0640381fc447 · outbound

This paper cites Diffusion networks with task-specific noise control for radiology report generation,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Diffusion networks with task-specific noise control for radiology report generation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.842508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b4cad25a-6fb7-4a63-81d4-39219785f6ea · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.284220Z

Source-reported events for the cited work

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Observation 81ab1e01-997c-4b21-a498-da0787ed8ff0 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.289541Z

Source-reported events for the cited work

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Observation a0eda7da-c545-45be-8f70-d3240eb44e52 · outbound

This paper cites Attention is All You Need,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Attention is All You Need,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.825075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9a924e7b-e134-4523-a7a8-bdb8b3ce4d2c · outbound

This paper cites Attention on Atten- tion for Image Captioning,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Attention on Atten- tion for Image Captioning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.807991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5aef8628-f471-4698-91cf-bd08b2c018c8 · outbound

This paper cites Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.305076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cbfe6b6-ef2d-4a1b-aef6-0bdaf524b62d · outbound

This paper cites Learning multimodal contrast with cross-modal memory and reinforced contrast recognition,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Learning multimodal contrast with cross-modal memory and reinforced contrast recognition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.782532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 75b37336-6549-4e4c-9a10-6193af4b7727 · outbound

This paper cites Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.315843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9340a571-be55-44bc-9d91-42260ff55e62 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Efficient Estimation of Word Representations in Vector Space

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.320567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7bf9c1b-a9d5-4814-b749-cb4ca7ca8aee · outbound

This paper cites Learning Word Representations with Regularization from Prior Knowledge,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Learning Word Representations with Regularization from Prior Knowledge,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.769189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 967e2c36-9cfe-4a0c-b389-0cca2b88e994 · outbound

This paper cites Joint Learning Embeddings for Chinese Words and Their Components via Ladder Structured Networks,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Joint Learning Embeddings for Chinese Words and Their Components via Ladder Structured Networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.755551Z

Source-reported events for the cited work

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Observation cd0c300e-3cb2-49dd-91fb-3527ceaa4a56 · outbound

This paper cites BERT: Pre- training of Deep Bidirectional Transformers for Language Un- derstanding,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation BERT: Pre- training of Deep Bidirectional Transformers for Language Un- derstanding,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.742569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4748c049-45e7-4336-abd9-d105b77bcd31 · outbound

This paper cites BART: Denoising sequence-to-sequence pre-training for natural language genera- tion, translation, and comprehension,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation BART: Denoising sequence-to-sequence pre-training for natural language genera- tion, translation, and comprehension,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.728219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d3d8c2a8-66b8-49c7-b3ec-31807c5dc49e · outbound

This paper cites Llava-Med: Training a large language-and-vision assistant for biomedicine in one day,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Llava-Med: Training a large language-and-vision assistant for biomedicine in one day,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.343975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b39ee149-08f4-471a-8ef0-e2dcbde7fd37 · outbound

This paper cites ChiMed-GPT: A Chinese medical large language model with full training regime and better alignment to human preferences,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation ChiMed-GPT: A Chinese medical large language model with full training regime and better alignment to human preferences,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:32:12.704547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a71f6404-88c7-41b3-9eb4-6791e729f2a2 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.352437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d615b444-1c9a-43a4-9e3f-2fb4d4f395af · outbound

This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.355978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96cdba50-ffd2-4e65-83aa-38ea572e8f9c · outbound

This paper cites Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.359954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdc9654a-2f32-4f42-985d-8243acb6a2c7 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.364655Z

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Observation 00197f94-90f0-428f-891d-e79198f9ffc8 · outbound

This paper cites Vivit: A video vision transformer,.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation Vivit: A video vision transformer,

Reference 50

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Pith citing papers

Observation 867720fa-cb2a-42bc-b8c2-e00437be774d · inbound

Computed Tomography Visual Question Answering with Cross-modal Feature Graphing cites this paper.

Computed Tomography Visual Question Answering with Cross-modal Feature Graphing Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:41.933749Z

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Observation 74970003-7cf3-4931-a301-d5b8be4844fc · inbound

SliceWorld: A Predictive and Controllable World-State Model for CT Report Generation cites this paper.

SliceWorld: A Predictive and Controllable World-State Model for CT Report Generation Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:04:44.784670Z

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