Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 14 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 93 of 93 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:17:15.274687Z

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

verified exact1
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External citation measurements

0
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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

Reference 43

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 2026-08-20T06:33:59.587034+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

Reference 45

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

Reference 51

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 2026-08-20T06:33:59.587034+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

Reference 52

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

Reference 53

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 2026-08-20T06:33:59.587034+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

Reference 54

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 2026-08-20T06:33:59.587034+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

Reference 55

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 2026-08-20T06:33:59.587034+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

Reference 56

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

Reference 57

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

Reference 58

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

Reference 59

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 2026-08-20T06:33:59.587034+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

Reference 60

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 2026-08-20T06:33:59.587034+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

Reference 61

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 2026-08-20T06:33:59.587034+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

Reference 62

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 2026-08-20T06:33:59.587034+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

Reference 63

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 2026-08-20T06:33:59.587034+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

Reference 64

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

Reference 65

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 2026-08-20T06:33:59.587034+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

Reference 66

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

Reference 68

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

Reference 69

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 2026-08-20T06:33:59.587034+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

Reference 70

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 2026-08-20T06:33:59.587034+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

Reference 71

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

Reference 72

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 2026-08-20T06:33:59.587034+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

Reference 73

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 2026-08-20T06:33:59.587034+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

Reference 74

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 2026-08-20T06:33:59.587034+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,

Reference 75

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 2026-08-20T06:33:59.587034+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

Reference 76

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

Reference 77

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 2026-08-20T06:33:59.587034+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

Reference 78

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

Reference 35

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

Reference 113

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

Reference 104

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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

Reference 135

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 2026-08-20T06:33:59.587034+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

Reference 195

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 2026-08-20T06:33:59.587034+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

Reference 223

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 2026-08-20T06:33:59.587034+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

Reference 283

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.

Observation 47d59f03-b702-40c0-ab8d-e2b30c85fea7 · inbound

Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology cites this paper.

Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T05:17:15.274687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.