Paper Citation Record · LEDGER

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

As of 8 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 13 inbound Pith citation observations for arXiv:2506.02327.

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

pith.paper-citation-record.v1
2506.02327 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:31:53.379959Z

measured 92 of 92 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:30:06.075453Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

79 of 79 outbound references displayed

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External citation measurements

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pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation fef827a6-19da-43a3-8aa5-efc23fd96fb9 · outbound

This paper cites Claude 3.5 sonnet model card addendum.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Claude 3.5 sonnet model card addendum

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:02.436771Z

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.

Observation 09836510-f05d-4990-932b-e92798e6389b · outbound

This paper cites Qwen2.5-VL Technical Report.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Qwen2.5-VL Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:47.957540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc0b054-e626-4bd8-b1fa-63de664599be · outbound

This paper cites Navigation world models.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Navigation world models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:02.273097Z

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.

Observation 8c1c82dc-463d-4502-95c5-3858ffc018a8 · outbound

This paper cites The liver tumor segmentation benchmark (lits).Medical image analysis, 84:102680, 2023.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning The liver tumor segmentation benchmark (lits).Medical image analysis, 84:102680, 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:02.133591Z

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.

Observation 8c25322a-b553-4a88-ae81-920c93b4382c · outbound

This paper cites Synthseg: Segmenta- tion of brain mri scans of any contrast and resolution without retraining.Medical image analysis, 86:102789, 2023.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Synthseg: Segmenta- tion of brain mri scans of any contrast and resolution without retraining.Medical image analysis, 86:102789, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:01.971030Z

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.

Observation dbd32306-deb8-46d5-bbf4-c0a563a7253e · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:48.259736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f84e39a-7cc4-4699-9bdb-6d7c098afa98 · outbound

This paper cites A vision–language foundation model for the generation of realistic chest x-ray images.Nature Biomedical Engineer- ing, pages 1–13, 2024.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning A vision–language foundation model for the generation of realistic chest x-ray images.Nature Biomedical Engineer- ing, pages 1–13, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:01.789010Z

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.

Observation 7a3c6ee6-2b2c-4af4-acb0-5c6e8e1ff0e3 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning On the Opportunities and Risks of Foundation Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:48.396888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f127e7cf-253c-4ffe-8d47-c3e8f137b322 · outbound

This paper cites Ge- nie: Generative interactive environments.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Ge- nie: Generative interactive environments

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:48.466537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7435561c-ce9c-4006-b0dc-ba068e0a4853 · outbound

This paper cites Multilingual feasibility of gpt-4o for automated voice-to-text ct and mri report transcription.Eu- ropean Journal of Radiology, 182:111827, 2025.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Multilingual feasibility of gpt-4o for automated voice-to-text ct and mri report transcription.Eu- ropean Journal of Radiology, 182:111827, 2025

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:01.612726Z

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.

Observation 27047215-987a-49e2-92aa-960d45bab870 · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning MONAI: An open-source framework for deep learning in healthcare

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:48.597916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 733d3356-3db0-49f4-99cc-eae4d693064b · outbound

This paper cites HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:48.640705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94f8795f-ccf0-43f7-b7cd-f2b4b0716408 · outbound

This paper cites Towards generaliz- able tumor synthesis.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Towards generaliz- able tumor synthesis

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:01.441020Z

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.

Observation d2196c91-ea66-45dd-9e78-c063861fdbde · outbound

This paper cites SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:48.789398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9501f1dd-c247-4dac-a796-cdafe5d50d74 · outbound

This paper cites MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:48.843144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54dae214-634c-44af-85fa-8e372027460b · outbound

This paper cites Empirical comparisons between kaplan- meier and nelson-aalen survival function estimators.Journal of Statistical Computation and Simulation, 72(4):299–308,.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Empirical comparisons between kaplan- meier and nelson-aalen survival function estimators.Journal of Statistical Computation and Simulation, 72(4):299–308,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:01.312696Z

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.

Observation 7e918c1b-e620-45b5-8637-6edade3dcf5f · outbound

This paper cites End-to-end adversarial retinal image syn- thesis.IEEE transactions on medical imaging, 37(3):781– 791, 2017.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning End-to-end adversarial retinal image syn- thesis.IEEE transactions on medical imaging, 37(3):781– 791, 2017

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:01.174577Z

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.

Observation fc29722f-e430-430c-bde6-d6839f43eec3 · outbound

This paper cites Medgpt, 2025.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Medgpt, 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:01.072366Z

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.

Observation 0e46f001-0e9e-4400-8c16-5ba66fbd30e4 · outbound

This paper cites Video Language Planning.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Video Language Planning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:49.185070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c4ac79-9ee7-47ce-80f2-c6c64f9489c3 · outbound

This paper cites Video language plan- ning.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Video language plan- ning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:00.933945Z

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.

Observation 8e7a3e56-db9b-4fc1-b251-c06fa5f99941 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Taming transformers for high-resolution image synthesis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:49.335954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79267180-e804-4145-9924-68a48bc2c543 · outbound

This paper cites Cox proportional-hazards regression for survival data.An R and S-PLUS companion to applied regression, 2002, 2002.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Cox proportional-hazards regression for survival data.An R and S-PLUS companion to applied regression, 2002, 2002

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:00.768271Z

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.

Observation 70454a36-adb2-49a2-80ba-a43db546785d · outbound

This paper cites Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:49.473885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ccac253-c03d-44e7-80d2-fa717fdedc75 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:49.561116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f0e56f0-d823-4371-a726-045756c8d720 · outbound

This paper cites World Models.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning World Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:49.629106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fea008f-5a36-4b3f-8cb3-f52e7da5ced6 · outbound

This paper cites Mastering Diverse Domains through World Models.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Mastering Diverse Domains through World Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:49.672452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aee79ab-e2e3-439d-88a0-210488822fe6 · outbound

This paper cites Deep learning for cancer prognosis predic- tion using portrait photos by stylegan embedding.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Deep learning for cancer prognosis predic- tion using portrait photos by stylegan embedding

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:00.568814Z

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.

Observation 7a4b3c7d-871e-43dd-8a27-a48327c8557b · outbound

This paper cites Evaluation and mitigation of the limitations of large lan- guage models in clinical decision-making.Nature medicine, 30(9):2613–2622, 2024.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Evaluation and mitigation of the limitations of large lan- guage models in clinical decision-making.Nature medicine, 30(9):2613–2622, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:00.409977Z

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.

Observation b21b6fe9-bad1-444f-9c9d-880ee14b566b · outbound

This paper cites Ct2rep: Automated radiology report generation for 3d medi- cal imaging.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Ct2rep: Automated radiology report generation for 3d medi- cal imaging

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:00.274974Z

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.

Observation 3823a1bb-0b6a-41c8-9c05-be8989193015 · outbound

This paper cites Parametric re- sponse mapping of contrast-enhanced biphasic ct for evalu- ating tumour viability of hepatocellular carcinoma after tace.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Parametric re- sponse mapping of contrast-enhanced biphasic ct for evalu- ating tumour viability of hepatocellular carcinoma after tace

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:32:00.087545Z

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.

Observation 16aef786-0d3f-4a97-847e-5b3ec3dbd1d2 · outbound

This paper cites Denoising diffu- sion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Denoising diffu- sion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:59.949781Z

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.

Observation 939b59ef-2b20-4bac-9b3a-44a4a4e9a612 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning GAIA-1: A Generative World Model for Autonomous Driving

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:50.105660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fde2c7e2-3ee6-4d67-9a45-54acd2a557f5 · outbound

This paper cites Label-free liver tumor segmentation.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Label-free liver tumor segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:59.796882Z

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.

Observation cd3af5fd-1e1e-4f8f-a02d-cf5d8b2053d9 · outbound

This paper cites Common feature learning for brain tumor mri synthesis by context-aware generative adversarial network.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Common feature learning for brain tumor mri synthesis by context-aware generative adversarial network

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:59.640170Z

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.

Observation 27129410-b3f8-40b6-b37a-148600eb2184 · outbound

This paper cites Ct-based deep learning predicts prognosis in esophageal squamous cell cancer patients receiving immunotherapy combined with chemotherapy.Academic Radiology, 2025.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Ct-based deep learning predicts prognosis in esophageal squamous cell cancer patients receiving immunotherapy combined with chemotherapy.Academic Radiology, 2025

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:59.467747Z

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.

Observation 018943ea-ccd3-4be5-aa5a-b566db94f8c9 · outbound

This paper cites GPT-4o System Card.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning GPT-4o System Card

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:50.276591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7258a59-4375-424f-a359-0b05f82df932 · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmen- tation.Nature methods, 18(2):203–211, 2021.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning nnu-net: a self-configuring method for deep learning-based biomedical image segmen- tation.Nature methods, 18(2):203–211, 2021

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:59.330771Z

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.

Observation b8aa6013-393a-4306-bb30-b26cf6e8ef3b · outbound

This paper cites Deep- surv: personalized treatment recommender system using a cox proportional hazards deep neural network.BMC medi- cal research methodology, 18:1–12, 2018.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Deep- surv: personalized treatment recommender system using a cox proportional hazards deep neural network.BMC medi- cal research methodology, 18:1–12, 2018

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:59.148278Z

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.

Observation 397c387e-7161-4d99-9be2-f3068ebee3be · outbound

This paper cites Mdagents: An adaptive collaboration of llms for medical decision- making.Advances in Neural Information Processing Sys- tems, 37:79410–79452, 2024.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Mdagents: An adaptive collaboration of llms for medical decision- making.Advances in Neural Information Processing Sys- tems, 37:79410–79452, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:58.985620Z

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.

Observation 1b6e855e-961a-4e5b-8f8b-b0ebd847c336 · outbound

This paper cites Segment any- thing.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Segment any- thing

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:50.493289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7da071-a319-4a79-8e27-322839fc3425 · outbound

This paper cites From pixel to cancer: Cellular automata in computed tomography.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning From pixel to cancer: Cellular automata in computed tomography

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:58.801913Z

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.

Observation c6b0fd53-83b1-4aa1-899b-43c2824e862b · outbound

This paper cites A path towards autonomous machine intelli- gence version 0.9.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning A path towards autonomous machine intelli- gence version 0.9

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:50.600246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2bb3889-0cdc-4a99-b29e-2c2e7bf333f8 · outbound

This paper cites an unresolved cited work.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:31:58.614404Z

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.

Observation 7f5e7cb7-4f84-4e92-95bc-f6d38df243db · outbound

This paper cites Endora: Video generation models as endoscopy simu- lators.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Endora: Video generation models as endoscopy simu- lators

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:58.436782Z

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.

Observation f777e228-2dfe-4a54-883e-7460ad44a8f8 · outbound

This paper cites Large language models-powered clinical decision support: enhanc- ing or replacing human expertise?, 2025.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Large language models-powered clinical decision support: enhanc- ing or replacing human expertise?, 2025

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:58.277603Z

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.

Observation bd89b2d6-4144-450d-a33f-5ead00078e27 · outbound

This paper cites Text-Driven Tumor Synthesis.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Text-Driven Tumor Synthesis

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:50.824806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31710f7d-73e3-4b6e-9351-f9d38e503493 · outbound

This paper cites Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer.Nature Machine Intelli- gence, 5(4):408–420, 2023.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer.Nature Machine Intelli- gence, 5(4):408–420, 2023

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:58.082733Z

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.

Observation 70c5592b-fcfe-4c54-a8ff-cb1f6f896cba · outbound

This paper cites Clip-driven universal model for organ segmentation and tumor detection.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Clip-driven universal model for organ segmentation and tumor detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:57.909698Z

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.

Observation 151283e3-1d6c-416f-b43c-edd429af8aa4 · outbound

This paper cites Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography.Medical image analysis, 97:103226, 2024.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography.Medical image analysis, 97:103226, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:57.752915Z

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.

Observation 7eb3c745-ee17-4ed1-9894-00c2b03fb944 · outbound

This paper cites Generative World Explorer.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Generative World Explorer

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Resolution: verified exact; local_arxiv, observed 2026-08-07T11:31:53.702267Z

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.

Observation 4ed1b091-a93d-4ac0-91b2-81cea78c6cbe · outbound

This paper cites Grounding Video Models to Actions through Goal Conditioned Exploration.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Grounding Video Models to Actions through Goal Conditioned Exploration

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:51.088209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfbcd2a6-e710-48f5-a41c-7579cccfc6e4 · outbound

This paper cites Pseudo-label guided image synthesis for semi-supervised covid-19 pneumonia in- fection segmentation.IEEE Transactions on Medical Imag- ing, 42(3):797–809, 2022.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Pseudo-label guided image synthesis for semi-supervised covid-19 pneumonia in- fection segmentation.IEEE Transactions on Medical Imag- ing, 42(3):797–809, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:57.607067Z

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.

Observation 32ee4199-9217-480d-8f10-27e6c65f171d · outbound

This paper cites Foundation models for generalist medi- cal artificial intelligence.Nature, 616(7956):259–265, 2023.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Foundation models for generalist medi- cal artificial intelligence.Nature, 616(7956):259–265, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:57.442196Z

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.

Observation cd22e499-c158-426d-97ee-42f685900c71 · outbound

This paper cites A ma- chine learning model to predict hepatocellular carcinoma re- sponse to transcatheter arterial chemoembolization.Radiol- ogy: Artificial Intelligence, 1(5):e180021, 2019.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning A ma- chine learning model to predict hepatocellular carcinoma re- sponse to transcatheter arterial chemoembolization.Radiol- ogy: Artificial Intelligence, 1(5):e180021, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:57.306898Z

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.

Observation c04e651f-a581-4422-806c-c4f7359d578c · outbound

This paper cites Improved denoising diffusion probabilistic models.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Improved denoising diffusion probabilistic models

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:51.313869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2e0494-e41f-4b24-b5b6-44b78057ecef · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Learning transferable visual models from natural language supervi- sion

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:51.355276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a5f2d5f-032f-4502-8dc8-b7391224ef00 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning High-resolution image synthesis with latent diffusion models

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:51.388214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d04e58f8-1d1f-4ea7-999d-1deb52a5f4d6 · outbound

This paper cites Masked world models for visual control.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Masked world models for visual control

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:57.111509Z

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.

Observation 957b65ae-d308-4dc9-b4be-740774546676 · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.Advances in neural information processing systems, 34:2136–2147, 2021.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Transmil: Transformer based correlated multiple instance learning for whole slide image classification.Advances in neural information processing systems, 34:2136–2147, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:56.984566Z

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.

Observation 136230d3-4c35-4a52-93b8-304fa1084a0f · outbound

This paper cites Large language models encode clinical knowledge.Nature, 620(7972):172–180, 2023.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Large language models encode clinical knowledge.Nature, 620(7972):172–180, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:56.805867Z

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.

Observation e3c21d02-29dc-4ac4-bf62-9d178ca05c4d · outbound

This paper cites Toward expert-level med- ical question answering with large language models.Nature Medicine, pages 1–8, 2025.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Toward expert-level med- ical question answering with large language models.Nature Medicine, pages 1–8, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:56.643006Z

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.

Observation 15cca1fa-64a7-4683-8271-3cb229e402c8 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Deep unsupervised learning using nonequilibrium thermodynamics

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:56.501004Z

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.

Observation 9c98dc7b-9ce5-4a78-b8d4-a17dd7ff1d73 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Gemini: A Family of Highly Capable Multimodal Models

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:51.856222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5664dbc2-f770-4b35-b94f-096473fb2777 · outbound

This paper cites A closer look at spatiotemporal convolutions for action recognition.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning A closer look at spatiotemporal convolutions for action recognition

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:56.310453Z

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.

Observation 1c2cd666-f766-46f6-978e-8e1aaa53a4b3 · outbound

This paper cites Mocogan: Decomposing motion and content for video generation.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Mocogan: Decomposing motion and content for video generation

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:56.132427Z

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.

Observation bea8ecac-d368-4b0a-86e5-22a58796bfb7 · outbound

This paper cites an unresolved cited work.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:31:55.984268Z

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.

Observation 4b6e86b3-2ce9-4024-8b6c-1a5b8f5aedbc · outbound

This paper cites DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:52.240249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa7b03aa-40c6-495d-9f20-0b5149d349a2 · outbound

This paper cites Drivedreamer: Towards real-world- drive world models for autonomous driving.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Drivedreamer: Towards real-world- drive world models for autonomous driving

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:55.603917Z

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.

Observation eef3dde8-96fb-4e50-a450-2201f22bbdc5 · outbound

This paper cites Daydreamer: World models for physical robot learning.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Daydreamer: World models for physical robot learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:55.433198Z

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.

Observation 72f56938-dc0b-4bc3-813a-0735d1e90718 · outbound

This paper cites Cross-conditioned diffu- sion model for medical image to image translation.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Cross-conditioned diffu- sion model for medical image to image translation

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:52.540624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f15dcd8-8173-4945-8fd9-45026e7eb262 · outbound

This paper cites an unresolved cited work.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-07T11:31:55.210256Z

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.

Observation 7e7c7034-6dc5-4d59-8055-1a8b9dc08139 · outbound

This paper cites Deepprognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via contrast-enhanced ct imag- ing.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Deepprognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via contrast-enhanced ct imag- ing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:55.042677Z

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.

Observation 79aa648f-790d-4dfb-97f4-8c137ce9e395 · outbound

This paper cites Label-free segmentation of covid-19 lesions in lung ct.IEEE transactions on medical imaging, 40(10):2808–2819, 2021.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Label-free segmentation of covid-19 lesions in lung ct.IEEE transactions on medical imaging, 40(10):2808–2819, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:54.867707Z

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.

Observation 8c378db8-dee0-4bcc-9b38-3c6a0e341a04 · outbound

This paper cites Addressing asynchronicity in clinical multimodal fusion via individualized chest x-ray generation.Advances in Neural Information Processing Systems, 37:29001–29028,.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Addressing asynchronicity in clinical multimodal fusion via individualized chest x-ray generation.Advances in Neural Information Processing Systems, 37:29001–29028,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:54.721057Z

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.

Observation 99364bd4-04bb-4e1b-8a0e-58bb1dbff807 · outbound

This paper cites HuatuoGPT, towards Taming Language Model to Be a Doctor.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning HuatuoGPT, towards Taming Language Model to Be a Doctor

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Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:53.050387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ade44feb-2f81-4eb6-8c43-51b5114f632b · outbound

This paper cites Large language models for medicine: a survey.International Journal of Machine Learn- ing and Cybernetics, pages 1–26, 2024.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Large language models for medicine: a survey.International Journal of Machine Learn- ing and Cybernetics, pages 1–26, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:54.623382Z

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.

Observation 7a8a1e94-612c-4e5c-85a2-77e41259dc82 · outbound

This paper cites High-resolution diabetic retinopathy im- age synthesis manipulated by grading and lesions.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning High-resolution diabetic retinopathy im- age synthesis manipulated by grading and lesions

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:54.401587Z

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.

Observation d271abab-5b94-4d4d-869f-a37ca6e11e10 · outbound

This paper cites image":{image_property}.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning image":{image_property}

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:31:54.241815Z

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.

Observation 0d8a3eca-72fb-46f6-bb13-382dd097cef6 · outbound

This paper cites an unresolved cited work.

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning Unresolved cited work

Reference 2025

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:31:55.797737Z

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.

Pith citing papers

Observation 070b3374-b542-45c7-aca3-88926274375b · inbound

ShapeKit cites this paper.

ShapeKit Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

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Resolution: unresolved; no resolver link, observed 2026-08-06T21:30:06.075453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88dc555f-e49a-4821-9c7f-faaf74099d01 · inbound

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space cites this paper.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T17:52:12.269323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28b084fd-2276-4fa9-ae4b-62dff6168f69 · inbound

Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling cites this paper.

Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:36:04.837312Z

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.

Observation 02a63065-6c9d-430d-b658-c1ee3e0e2052 · inbound

Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs cites this paper.

Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:09.259134Z

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.

Observation 9a3b67dd-8c71-4da8-ba26-787bddaed33a · inbound

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology cites this paper.

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

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Resolution: verified exact; arxiv_id, observed 2026-05-12T03:56:21.566119Z

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.

Observation ce73b9d9-ab2d-4cff-b384-ee4a94a06432 · inbound

Beyond Masks: The Case for Medical Image Parsing cites this paper.

Beyond Masks: The Case for Medical Image Parsing Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:42:03.548594Z

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.

Observation a2bdb060-d8fb-4f35-ac20-a4de94cac820 · inbound

From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction cites this paper.

From Static Risk to Dynamic Trajectories: Toward World-Model-Inspired Clinical Prediction Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

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Resolution: verified exact; arxiv_id, observed 2026-05-19T20:42:46.488093Z

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.

Observation 661d3983-7084-4c2e-836e-baf99537757d · inbound

ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation cites this paper.

ECG-WM: A Physiology-Informed ECG World Model for Clinical Intervention Simulation Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:23:16.872645Z

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.

Observation 7c5bea1d-8c48-479c-8d60-16543758c830 · inbound

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications cites this paper.

World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and Applications Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

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Resolution: verified exact; arxiv_id, observed 2026-06-29T08:43:15.588129Z

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.

Observation 43012f5e-db78-403e-82bc-f692ecbf8846 · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

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Resolution: verified exact; arxiv_id, observed 2026-06-27T09:50:48.362812Z

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.

Observation c4eacc5f-dcb3-4f6f-9590-00a822752030 · inbound

A Definition and Roadmap for World Models cites this paper.

A Definition and Roadmap for World Models Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

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Resolution: verified exact; local_arxiv, observed 2026-07-08T07:14:45.309689Z

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.

Observation 12007014-0184-48e7-a335-75f9ea3e2c55 · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

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Resolution: unresolved; no resolver link, observed 2026-07-14T06:30:16.612345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9932d8-619b-4610-b6a0-709b7844ee13 · inbound

AuricularWorld: Hierarchical Action-Guided World Modeling for Fine-Grained Auricular Structure Segmentation from CT Scans cites this paper.

AuricularWorld: Hierarchical Action-Guided World Modeling for Fine-Grained Auricular Structure Segmentation from CT Scans Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-31T05:50:17.884848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.