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Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 8 inbound Pith citation observations for arXiv:2512.08029.

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

pith.paper-citation-record.v1
2512.08029 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:52:12.422134Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:17:15.210322Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:56:57.718098Z

Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation 6a10667e-5771-4afb-b6f0-24dc33bb6994 · outbound

This paper cites Agentic large-language- model systems in medicine: A systematic review and taxon- omy.Authorea Preprints, 2025.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Agentic large-language- model systems in medicine: A systematic review and taxon- omy.Authorea Preprints, 2025

Reference 1

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Observation 5728d9f9-4420-4423-ae89-650a3a805d4c · outbound

This paper cites Claude 3.5 sonnet model card addendum.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Claude 3.5 sonnet model card addendum

Reference 2

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Observation 56524868-001a-446a-ab7a-1283e7b18577 · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Self-supervised learning from images with a joint-embedding predictive architecture

Reference 3

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Observation adac12f7-08b5-4027-be17-8ce31abf9a29 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 4

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Observation 1a90b344-f4dc-4dec-b060-63e49ea75c3e · outbound

This paper cites Qwen2.5-VL Technical Report.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Qwen2.5-VL Technical Report

Reference 5

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Observation c4e7ecb6-e58e-4055-8b24-99f911049967 · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 6

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Observation d602388c-6eb0-4d8f-8ac2-7cd61a4513d4 · outbound

This paper cites Ge- nie: Generative interactive environments.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Ge- nie: Generative interactive environments

Reference 7

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Observation 2ccb3eb5-f322-47a0-97e0-1d5459d5714a · outbound

This paper cites MuDreamer: Learning Predictive World Models without Reconstruction.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space MuDreamer: Learning Predictive World Models without Reconstruction

Reference 8

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Observation 97cf8811-c31d-467a-8cb8-c73f7373d61d · outbound

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

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

Reference 9

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Observation 238e945e-de0e-4cfe-86b4-e5785ae99466 · outbound

This paper cites Braixdet: Learning to detect malignant breast lesion with incomplete annotations.Medical image analysis, 96:103192, 2024.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Braixdet: Learning to detect malignant breast lesion with incomplete annotations.Medical image analysis, 96:103192, 2024

Reference 10

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Observation a75ead28-0eb7-4398-b7ba-634c57655cdc · outbound

This paper cites Prior: Prototype representation joint learning from medical images and reports.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Prior: Prototype representation joint learning from medical images and reports

Reference 11

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Observation 641f1975-3a94-4e88-a066-350595c06092 · outbound

This paper cites Regression models and life-tables.Journal of the Royal Statistical Society: Series B (Methodological), 34 (2):187–202, 1972.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Regression models and life-tables.Journal of the Royal Statistical Society: Series B (Methodological), 34 (2):187–202, 1972

Reference 12

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Observation 5f71aa43-1dc9-4fb7-917f-8dea894e7f5c · outbound

This paper cites Probabilistic recurrent state-space models.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Probabilistic recurrent state-space models

Reference 13

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Observation ebf73a92-29ec-4cfd-9b9d-bfff9fc3a576 · outbound

This paper cites The university of california san francisco adult longitudinal post-treatment diffuse glioma mri dataset.Radiology: Artificial Intelligence, 6(4):e230182,.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space The university of california san francisco adult longitudinal post-treatment diffuse glioma mri dataset.Radiology: Artificial Intelligence, 6(4):e230182,

Reference 14

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Observation f7a8b424-6b59-44e3-bdd2-9328e0df88e0 · outbound

This paper cites Verification of forecasts expressed in terms of probability.Monthly weather review, 78(1):1–3,.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Verification of forecasts expressed in terms of probability.Monthly weather review, 78(1):1–3,

Reference 15

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Observation 80c8f632-7eba-42f6-96c5-df6b292c4f16 · outbound

This paper cites an unresolved cited work.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Unresolved cited work

Reference 16

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Observation 4b086b24-fef4-4cb3-b996-5b88c02efff2 · outbound

This paper cites Mastering diverse control tasks through world models.Nature, pages 1–7, 2025.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Mastering diverse control tasks through world models.Nature, pages 1–7, 2025

Reference 17

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Observation bd774757-f48a-4b23-bc2b-731e3e143bc0 · outbound

This paper cites 2 Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space 2 Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 18

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Observation 7e9f91f4-ecaf-40ed-b6dc-de67f717780c · outbound

This paper cites Gloria: A multimodal global-local represen- tation learning framework for label-efficient medical image recognition.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Gloria: A multimodal global-local represen- tation learning framework for label-efficient medical image recognition

Reference 19

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Observation ea3eb770-8635-4335-aa82-dddd78c592d6 · outbound

This paper cites GPT-4o System Card.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space GPT-4o System Card

Reference 20

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Observation 755ed3ae-0447-4993-8d18-da787bf00e20 · 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):24, 2018.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Deep- surv: personalized treatment recommender system using a cox proportional hazards deep neural network.BMC medi- cal research methodology, 18(1):24, 2018

Reference 21

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Observation 656a6b06-c124-4745-a104-7feef859e22f · outbound

This paper cites Random survival forests.Annals of Applied Statistics, 2,.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Random survival forests.Annals of Applied Statistics, 2,

Reference 22

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Observation 2e04f133-7451-485a-8574-ead264d21829 · outbound

This paper cites Deephit: A deep learning approach to sur- vival analysis with competing risks.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Deephit: A deep learning approach to sur- vival analysis with competing risks

Reference 23

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Observation 128e4450-ee7d-4d05-ba6d-638fad36cc65 · outbound

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CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Unresolved cited work

Reference 24

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Observation d603b702-f89e-4e4d-8886-dbf9d627e405 · outbound

This paper cites Fairfedmed: Benchmarking group fairness in federated medical imaging with fairlora.IEEE Transactions on Medical Imaging, 2025.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Fairfedmed: Benchmarking group fairness in federated medical imaging with fairlora.IEEE Transactions on Medical Imaging, 2025

Reference 25

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Observation dd610233-01ec-4734-ae0e-0176ab8bae9b · outbound

This paper cites Trans- lation consistent semi-supervised segmentation for 3d med- ical images.IEEE Transactions on Medical Imaging, 2024.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Trans- lation consistent semi-supervised segmentation for 3d med- ical images.IEEE Transactions on Medical Imaging, 2024

Reference 26

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Observation a4c1d9bb-d249-4dd0-b406-8a7b76e20ee5 · outbound

This paper cites A large model for non- invasive and personalized management of breast cancer from multiparametric mri.Nature Communications, 16(1):3647,.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space A large model for non- invasive and personalized management of breast cancer from multiparametric mri.Nature Communications, 16(1):3647,

Reference 27

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Observation 0d77a8b6-0e81-46e0-b4be-98d818c9cbfa · outbound

This paper cites Harvard glaucoma detection and progression: A multimodal multitask dataset and generalization-reinforced semi-supervised learning.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Harvard glaucoma detection and progression: A multimodal multitask dataset and generalization-reinforced semi-supervised learning

Reference 28

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Observation 99499b6a-6617-411b-8aa7-75ab24d6089b · outbound

This paper cites Multiparamet- ric radiogenomic model to predict survival in patients with glioblastoma.Cancers, 16(3):589, 2024.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Multiparamet- ric radiogenomic model to predict survival in patients with glioblastoma.Cancers, 16(3):589, 2024

Reference 29

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Observation fbf25270-db06-409e-9268-5b9df441b576 · outbound

This paper cites Survlatent ode: A neural ode based time-to-event model with competing risks for longitudinal data improves cancer-associated ve- nous thromboembolism (vte) prediction.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Survlatent ode: A neural ode based time-to-event model with competing risks for longitudinal data improves cancer-associated ve- nous thromboembolism (vte) prediction

Reference 30

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CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Unresolved cited work

Reference 31

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This paper cites Mu-glioma-post: University of missouri post-operative glioma dataset.The Cancer Imaging Archive (TCIA), 2025.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Mu-glioma-post: University of missouri post-operative glioma dataset.The Cancer Imaging Archive (TCIA), 2025

Reference 32

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Observation 23a321e6-5144-4ccc-b416-2199f55461ab · outbound

This paper cites MedGemma Technical Report.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space MedGemma Technical Report

Reference 33

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Observation 60082d1f-fa9a-4032-aa1d-3f62bdbc3a1e · outbound

This paper cites Equitable arti- ficial intelligence for glaucoma screening with fair identity normalization.NPJ Digital Medicine, 8(1):46, 2025.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Equitable arti- ficial intelligence for glaucoma screening with fair identity normalization.NPJ Digital Medicine, 8(1):46, 2025

Reference 34

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Observation c8dddb4c-188a-46c2-8c42-70eec61279b9 · outbound

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

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Large language models encode clinical knowledge.Nature, 620 (7972):172–180, 2023

Reference 35

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Observation 6a59f67e-8544-47b7-86c4-668e7b73fc94 · outbound

This paper cites Toward expert-level med- ical question answering with large language models.Nature Medicine, 31(3):943–950, 2025.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Toward expert-level med- ical question answering with large language models.Nature Medicine, 31(3):943–950, 2025

Reference 36

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source=pdf_text observed=2026-08-03T17:52:11.789439Z digest=sha256:ade1684c3e7d5c263c569657485856ca4a7db5ae3191270cdb3860ded8086eca

Observation 7c195608-5256-4dd2-95e0-acea6e969661 · outbound

This paper cites A foundation model for generalized brain mri analysis.medRxiv, 2024.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space A foundation model for generalized brain mri analysis.medRxiv, 2024

Reference 37

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source=pdf_text observed=2026-08-03T17:52:11.919760Z digest=sha256:451f6f8d59da54c4a1413fe8c2b8ed50dedafa3aad859f3cb47a154b6f2fb5c1

Observation 6d673826-521e-4042-8dd4-a1f6828ac843 · outbound

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

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Gemini: A Family of Highly Capable Multimodal Models

Reference 38

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source=pdf_text observed=2026-08-03T17:52:11.990256Z digest=sha256:0befd0c165953a2fa1e2580307f522e2b221986dd522f31091f30d2d2e2eeaa5

Observation a7595073-83e3-4407-90e4-aa1b32cd43e1 · outbound

This paper cites Qwen3 technical report, 2025.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Qwen3 technical report, 2025

Reference 39

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source=pdf_text observed=2026-08-03T17:52:12.048574Z digest=sha256:c9abfa578dfa24644f867565c48278e6c4629fdc9d25df49abb9ac5269184341

Observation ffea3400-f2c1-4dc1-bf33-7fc0113e1a76 · outbound

This paper cites Multi-granularity cross-modal align- ment for generalized medical visual representation learn- ing.Advances in Neural Information Processing Systems, 35:33536–33549, 2022.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Multi-granularity cross-modal align- ment for generalized medical visual representation learn- ing.Advances in Neural Information Processing Systems, 35:33536–33549, 2022

Reference 40

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source=pdf_text observed=2026-08-03T17:52:12.126733Z digest=sha256:be42b7dc4f6fef678305c798e5b8263cf7af60f0ebe4625a65a3a7d64a55b069

Observation 09c9da8d-cc41-4ab5-addb-46d0ac396ba4 · outbound

This paper cites Medicalgpt: Training medical gpt model.https : / / github.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Medicalgpt: Training medical gpt model.https : / / github

Reference 41

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source=pdf_text observed=2026-08-03T17:52:12.208908Z digest=sha256:02366b35fabdd7a18b380e4e5041c0a5a6004f309eabe282a9c87a74059d11dd

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

This paper cites Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning.

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

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source=pdf_text observed=2026-08-03T17:52:12.269323Z digest=sha256:1d0bbda654170cc5c8b7ddd69688434be1ba0950d3b290c4789bf780fec069ae

Observation 7933eb2f-cc1c-46d2-8d68-d0411cb340e3 · outbound

This paper cites Alignment, mining and fusion: Representation alignment with hard negative mining and selective knowledge fusion for medical visual question answering.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Alignment, mining and fusion: Representation alignment with hard negative mining and selective knowledge fusion for medical visual question answering

Reference 43

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source=pdf_text observed=2026-08-03T17:52:12.328595Z digest=sha256:57c323fd74a771975dfe2d00d99edfa9e1f26c6417f37b39f5ea062360bec29d

Observation d97b918e-5a9f-41e3-8515-10c18e3f264f · outbound

This paper cites Mvcm: Enhancing multi- view and cross-modality alignment for medical visual ques- tion answering and medical image-text retrieval.

CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space Mvcm: Enhancing multi- view and cross-modality alignment for medical visual ques- tion answering and medical image-text retrieval

Reference 44

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source=pdf_text observed=2026-08-03T17:52:12.422134Z digest=sha256:e910e08aba01ffd25654c30a4a171dd0e267467cebae461dc7434adbda022a8b

Pith citing papers

Observation 5b8b9be0-6f54-4a2b-9863-077754052662 · inbound

Sonata: A Hybrid World Model for Inertial Kinematics under Clinical Data Scarcity cites this paper.

Sonata: A Hybrid World Model for Inertial Kinematics under Clinical Data Scarcity CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

Reference 38

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arxiv_id, observed 2026-07-07T04:17:57.767699Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T04:36:51.588539Z digest=sha256:faaef6ccfb190e6ecc51a6fb3741e59237e61f5c10621c433beb4669052af64d

Observation 834e47a4-4333-497f-b7fb-097aa0072651 · inbound

Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories cites this paper.

Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

Reference 25

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arxiv_id, observed 2026-07-07T04:17:57.767699Z

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source=pdf_text observed=2026-05-12T05:09:02.858596Z digest=sha256:7ab87458760ea1bfa5af51f3d260c26f21c49ac75c6ff3750baba3e9fc559769

Observation bf3ee9bf-c781-4752-ad20-6c9837a22513 · inbound

Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories cites this paper.

Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

Reference 25

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arxiv_id, observed 2026-07-07T04:17:57.767699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T05:52:30.828453Z digest=sha256:021bfeaa636992fb0c6dd9e6fecea615db1be71ce5977c8277c6cd5bada20ba3

Observation 4bdd633a-f3df-4542-b2fe-2bb1bbd3b0eb · inbound

Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories cites this paper.

Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

Reference 25

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arxiv_id, observed 2026-07-07T04:17:57.767699Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T22:34:18.852345Z digest=sha256:0bc10924066d9801640d3d966ab2eea0dfa0ba05eb69e4cbcb149cd6cc406c03

Observation e1b59c82-de8b-4d9c-98a2-649ff839edf0 · 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 CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

Reference 134

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arxiv_id, observed 2026-07-07T04:17:57.767699Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T08:36:23.776293Z digest=sha256:8b66b7859d51ca4db5406352976430dcf6388193ba1cfb3eef0d2f0a47fe6c97

Observation 19cd0383-b2ef-4f1b-8092-2de6594eadd3 · inbound

Towards World Models in Biomedical Research cites this paper.

Towards World Models in Biomedical Research CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

Reference 22

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arxiv_id, observed 2026-07-07T04:17:57.767699Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T01:38:23.602249Z digest=sha256:ba4494523396e03dac0f5a62e6dea9a49222bd8ad23768e359e71781e51581dc

Observation f5912b4d-6691-4662-b79c-3ede9670b42c · inbound

Medical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translation cites this paper.

Medical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translation CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

Reference 25

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source=pdf_text observed=2026-08-01T03:02:43.844928Z digest=sha256:473c0049d269196d727ec996e17e75ef42ecaef3f503ea77834c47c20137b1b7

Observation 9a1fddaf-3bb9-4c68-beaa-641f6e87e62d · 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 CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

Reference 8

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source=pdf_text observed=2026-08-14T05:17:15.210322Z digest=sha256:9e5d3ab9504399836d577fd2806f416e5f4385a856e77e2edcae700d5214d37b