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Paper Citation Record · LEDGER

Quo Vadis, World Modeling?

As of 8 August 2026, this Paper Citation Record lists 100 of 226 outbound references and 0 inbound Pith citation observations for arXiv:2608.02713.

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

pith.paper-citation-record.v1
2608.02713 v1

Coverage vector

measured 100 of 226 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:14:06.027717Z

measured 100 of 100 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 226 outbound references displayed

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External citation measurements

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Outbound references

Observation fe06bb2f-8668-4ec2-9c7d-c1df1cba663b · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Quo Vadis, World Modeling? Cosmos World Foundation Model Platform for Physical AI

Reference 1

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source=pdf_text observed=2026-08-07T00:13:49.587839Z digest=sha256:cd5ca0c4a64fd70424cd701bcddece8140710ff84f14228d613c65a08c22ce0a

Observation 71c52b45-a4d6-4d70-b9ea-63b596394e04 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Quo Vadis, World Modeling? Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 2

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source=pdf_text observed=2026-08-07T00:13:49.686475Z digest=sha256:5ec63fb24b9ed77f8eab0ed6d230366b99d6b8dc25ab9f5ffb94601553e22c20

Observation 8c13d61a-61ff-4ba9-a13b-779c632b882e · outbound

This paper cites ComAct: Reframing Professional Software Manipulation via COM-as-Action Paradigm.

Quo Vadis, World Modeling? ComAct: Reframing Professional Software Manipulation via COM-as-Action Paradigm

Reference 3

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source=pdf_text observed=2026-08-07T00:13:49.834198Z digest=sha256:7bab91cab9819992c3d3cf75f6567a0efae425582d213a5f556fa0bd4657b0fa

Observation 8e1b97f3-a099-476a-b3c3-aec553c1c5f4 · outbound

This paper cites Diffusion for World Modeling: Visual Details Matter in Atari.

Quo Vadis, World Modeling? Diffusion for World Modeling: Visual Details Matter in Atari

Reference 4

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source=pdf_text observed=2026-08-07T00:13:49.987059Z digest=sha256:ef347e27e5a571efc1efa51b618d5a52a20a71113d2fcc06d378c8d8f36255d7

Observation 2784b585-cc16-46a8-915b-2c1800f17dbb · outbound

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

Quo Vadis, World Modeling? Self-supervised learning from images with a joint-embedding predictive architecture

Reference 5

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source=pdf_text observed=2026-08-07T00:13:50.157423Z digest=sha256:ad96be0686f318f5c262eb6e03c8fd8389162daf7e629e05094fa9fbaa6faf94

Observation 321cbfb0-ef44-49f2-a162-855d738dfe9d · outbound

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

Quo Vadis, World Modeling? V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 6

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source=pdf_text observed=2026-08-07T00:13:50.301988Z digest=sha256:e18b3aa58fa162ca04745cdff284d20d7f7abf49b520727e13103deb17b29206

Observation a51d4882-beae-4871-b73f-73d1a086b0f0 · outbound

This paper cites A General Theoretical Paradigm to Understand Learning from Human Preferences.

Quo Vadis, World Modeling? A General Theoretical Paradigm to Understand Learning from Human Preferences

Reference 7

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source=pdf_text observed=2026-08-07T00:13:50.414984Z digest=sha256:11be1dbf7d442dac67fb4862912cf32ccbd07c769a17c8f86de4b7e569b625cb

Observation e47c69d9-50e8-4966-9a5c-3e5cf2c231d8 · outbound

This paper cites FitVid: Overfitting in Pixel-Level Video Prediction.

Quo Vadis, World Modeling? FitVid: Overfitting in Pixel-Level Video Prediction

Reference 8

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source=pdf_text observed=2026-08-07T00:13:50.539483Z digest=sha256:24b1339dc8ebc357b0aefad5b2e2feea9feed79ae4c8baf6681ba1a690719178

Observation 03b5c839-cf51-4bb6-9d78-3a44f6326dc2 · outbound

This paper cites ReCamMaster: Camera-Controlled Generative Rendering from A Single Video.

Quo Vadis, World Modeling? ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

Reference 9

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source=pdf_text observed=2026-08-07T00:13:50.675534Z digest=sha256:941700cf0dac77da49a89d53a32284101d7f6c5e57e830a5e61c5eb8eb3e3e90

Observation 6d9d45f6-674c-4dd4-9b6e-bdc5dbbc1004 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Quo Vadis, World Modeling? Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 10

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source=pdf_text observed=2026-08-07T00:13:50.834290Z digest=sha256:39d04296b1a39d91b430f0b800d31b7526f67a1576a7f75bb2f26b48b86968ad

Observation 748ef4ab-9583-4f8a-bc9b-b2732a72a914 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Quo Vadis, World Modeling? Constitutional AI: Harmlessness from AI Feedback

Reference 11

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source=pdf_text observed=2026-08-07T00:13:50.955072Z digest=sha256:d0febe1cd4ed6954f23bab54a06cf30116816c581df90e8167a8ab17a3451728

Observation 508ae3bf-eb95-49c0-a289-bff691dcbdfe · outbound

This paper cites Navigation World Models.

Quo Vadis, World Modeling? Navigation World Models

Reference 12

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source=pdf_text observed=2026-08-07T00:13:51.077230Z digest=sha256:bd04777372b46100d35afd4c1b92d578f50e33c70406e6fd03cacca12487274a

Observation ac8282a6-2005-4c64-9702-dda3abf165bd · outbound

This paper cites Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields.

Quo Vadis, World Modeling? Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

Reference 13

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source=pdf_text observed=2026-08-07T00:13:51.201058Z digest=sha256:d9ee8036c90f2ac4348a571b9e01f0aa84ffd546587b3d6eddb3cf55781e496c

Observation 29cfcdcb-9b36-4fa3-9be4-144e872fff0d · outbound

This paper cites Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields.

Quo Vadis, World Modeling? Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

Reference 14

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source=pdf_text observed=2026-08-07T00:13:51.320912Z digest=sha256:3e2e3deb5205f2436ccfe6f9ff557668db16ef5cd49552f339cdfdcff1fbc2a2

Observation 1e94b0b1-688e-4e6d-abcb-a91806832ec9 · outbound

This paper cites DynamicCity: Large- scale 4D occupancy generation from dynamic scenes.

Quo Vadis, World Modeling? DynamicCity: Large- scale 4D occupancy generation from dynamic scenes

Reference 15

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source=pdf_text observed=2026-08-07T00:13:51.435828Z digest=sha256:61ce8bb26ca5f3f887d100e361b63bf1aa3f227d3571f258514b204c9c22fc0c

Observation 7f563bf8-dae0-4dd3-b95d-ce7c97e4d6c9 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Quo Vadis, World Modeling? RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 16

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source=pdf_text observed=2026-08-07T00:13:51.560626Z digest=sha256:a931aa30d601edb1e8c8b76122190a6f201a630b4f304764263042e7153ee456

Observation 36bfc42d-664a-498a-ad48-c2f7642d6c2d · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Quo Vadis, World Modeling? RT-1: Robotics Transformer for Real-World Control at Scale

Reference 17

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source=pdf_text observed=2026-08-07T00:13:51.707629Z digest=sha256:81d214128bcdef41f2874a2ba0da2ff39c24506b8c8a6b9c12bc5dec072e033f

Observation 7512ea7b-20bb-46b3-9816-083e1fb3ad60 · outbound

This paper cites Video generation models as world simulators.

Quo Vadis, World Modeling? Video generation models as world simulators

Reference 18

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source=pdf_text observed=2026-08-07T00:13:51.833770Z digest=sha256:4bd79f8cb667c20f09461c7951de2d3fcc9b90ae923f3606329e73582e97e4e5

Observation 7094edf3-679f-4659-accc-3d5bf6f73a49 · outbound

This paper cites Genie: Generative Interactive Environments.

Quo Vadis, World Modeling? Genie: Generative Interactive Environments

Reference 19

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source=pdf_text observed=2026-08-07T00:13:51.924814Z digest=sha256:6d995cc8a89aace795d85cf217be48b704a275a6190ef75df14b275f138497e8

Observation 6b461ce1-74bb-4e67-8a35-bee68b317370 · outbound

This paper cites CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay.

Quo Vadis, World Modeling? CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay

Reference 20

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source=pdf_text observed=2026-08-07T00:13:52.062994Z digest=sha256:a7161142861e071bb66e38cf8f5ae08296d333b9ddec7bbf2e03f615865e9af6

Observation 8ffdbf7f-6689-412f-98f4-6b2e2f64cc6d · outbound

This paper cites MobileDreamer: Generative sketch world model for GUI agent.

Quo Vadis, World Modeling? MobileDreamer: Generative sketch world model for GUI agent

Reference 21

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source=pdf_text observed=2026-08-07T00:13:52.226848Z digest=sha256:0591bf53fbcefe4e1ff54dd55e84c91d1f8a2a944ed75b9d1c000d95ee4085cb

Observation 9ebd3acd-756d-49fb-b537-70f0b3ec0170 · outbound

This paper cites PhysX-Anything: Simulation-ready physical3Dassetsfromsingleimage.

Quo Vadis, World Modeling? PhysX-Anything: Simulation-ready physical3Dassetsfromsingleimage

Reference 22

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source=pdf_text observed=2026-08-07T00:13:52.321093Z digest=sha256:9f5863174e4dc1a63fddefd8f0a023c4270df47e77937cfaa2d9f7a6f8ea14c3

Observation 52b3c5e5-ab91-436e-9101-cfbb74d8ea34 · outbound

This paper cites Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation.

Quo Vadis, World Modeling? Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation

Reference 23

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Observation dda265d7-307a-40d1-9387-e6fdc4c95237 · outbound

This paper cites GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation.

Quo Vadis, World Modeling? GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation

Reference 24

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source=pdf_text observed=2026-08-07T00:13:52.595783Z digest=sha256:35301fc970032eb2d5fa21db3ee130a2762d92f45dad9fff8df8eef89f660746

Observation 086343b7-17ac-485f-a52d-5495c9db7828 · outbound

This paper cites GameGen-X: Interactive open- world game video generation.

Quo Vadis, World Modeling? GameGen-X: Interactive open- world game video generation

Reference 25

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source=pdf_text observed=2026-08-07T00:13:52.734852Z digest=sha256:b2655af5736cce84bf017d3d5f17466357172dfe4003e94b4ac162d2720cf602

Observation db2ffd98-c901-40b0-a940-66e3131eabfc · outbound

This paper cites TensoRF: Tensorial Radiance Fields.

Quo Vadis, World Modeling? TensoRF: Tensorial Radiance Fields

Reference 26

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source=pdf_text observed=2026-08-07T00:13:52.885271Z digest=sha256:cfcf6c492329588f853571259d7104780aadc73d861b8e93e6891ac7ed4dbc83

Observation 51f7b6c9-35b1-4430-8fce-24406a81878c · outbound

This paper cites A Survey on 3D Gaussian Splatting.

Quo Vadis, World Modeling? A Survey on 3D Gaussian Splatting

Reference 27

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source=pdf_text observed=2026-08-07T00:13:53.019531Z digest=sha256:da20210d624786555dca897048788751accb9c694481a54dfe8211d17f19476c

Observation da3c2674-0e62-4e4c-b4ed-cf675f32c849 · outbound

This paper cites Scaling agent learning via experience synthesis.arXiv preprint arXiv:2511.03773, 2025.

Quo Vadis, World Modeling? Scaling agent learning via experience synthesis.arXiv preprint arXiv:2511.03773, 2025

Reference 28

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source=pdf_text observed=2026-08-07T00:13:53.145395Z digest=sha256:347e182f27196129620204e997578937b6295b13dac6df61b77a714bb27f5c18

Observation 7039893b-f068-46a2-b7cd-73de856c0000 · outbound

This paper cites SceneDreamer: Unbounded 3D scene generation from 2D imagecollections.IEEE Trans.PatternAnal.Mach.

Quo Vadis, World Modeling? SceneDreamer: Unbounded 3D scene generation from 2D imagecollections.IEEE Trans.PatternAnal.Mach

Reference 29

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source=pdf_text observed=2026-08-07T00:13:53.297694Z digest=sha256:9bcfb6ea56db0abc7f99ca053b460424b0dd449874ccc9bab4bb012f05fe697e

Observation aea601ac-fb63-4e72-8572-413c29c6b113 · outbound

This paper cites Deep reinforcement learning from human preferences.

Quo Vadis, World Modeling? Deep reinforcement learning from human preferences

Reference 30

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source=pdf_text observed=2026-08-07T00:13:53.462156Z digest=sha256:df615ee4e0a318bec0526e1ddbbfe237392c0184005598c737d64896ade40768

Observation 9b7cf10d-0b48-4890-9096-ba5d1b5a34f2 · outbound

This paper cites Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond.

Quo Vadis, World Modeling? Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

Reference 31

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source=pdf_text observed=2026-08-07T00:13:53.624247Z digest=sha256:00e22d011f0962aebd894fcb34c1aebdfd6e6c4912b967c40d6afbc7a1f33661

Observation aa87339b-625f-43ae-9da5-71d8b808c448 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Quo Vadis, World Modeling? Training Verifiers to Solve Math Word Problems

Reference 32

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source=pdf_text observed=2026-08-07T00:13:53.804764Z digest=sha256:28dd657481e96c09dd764be17c6d4dc1c33afa667819d75388de78a5c3aeb62b

Observation cee0417b-b835-4455-9894-34f2cd53be17 · outbound

This paper cites CWM: An open-weights LLM for research on code generation with world models.arXiv preprint arXiv:2510.02387, 2025.

Quo Vadis, World Modeling? CWM: An open-weights LLM for research on code generation with world models.arXiv preprint arXiv:2510.02387, 2025

Reference 33

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source=pdf_text observed=2026-08-07T00:13:53.926357Z digest=sha256:ec194a8f9efe1cafe52d2fc0f9de3b3b585b949a7c73f45fa861f94c5470dca4

Observation 5b08ad98-f316-4d93-8a2a-099b3a1078de · outbound

This paper cites Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search.

Quo Vadis, World Modeling? Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Reference 34

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source=pdf_text observed=2026-08-07T00:13:54.041095Z digest=sha256:7b868a3a79f703acb4c05b82b55ff45dd4892b66f632defa388c26b5071d144b

Observation f6827a40-602d-47fa-868f-c32f1722dac4 · outbound

This paper cites Oasis: A universe in a transformer.

Quo Vadis, World Modeling? Oasis: A universe in a transformer

Reference 35

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source=pdf_text observed=2026-08-07T00:13:54.177067Z digest=sha256:6bb91f80bd7ae492df192cd1cbbb0c02cc564e37d34e549ba901961a082587c5

Observation 943e186f-94e1-401d-b95e-dd0f9260979d · outbound

This paper cites Understanding world or predicting future? A comprehensive survey of world models.ACM Comput.

Quo Vadis, World Modeling? Understanding world or predicting future? A comprehensive survey of world models.ACM Comput

Reference 36

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source=pdf_text observed=2026-08-07T00:13:54.337946Z digest=sha256:cbb11271eae223b1b70ad33d12d9c6eb951a251384445fd611b8096d3c671fef

Observation 4965846b-3e70-406c-a806-ec27286decd4 · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

Quo Vadis, World Modeling? Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 39

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source=pdf_text observed=2026-08-07T00:13:55.006976Z digest=sha256:4e0406d84ac38868fc77803ec43b8b03bc27c2da6b2ced582668951fdb8383b3

Observation 4427cf14-a13f-4d17-a117-e47c248e3626 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Quo Vadis, World Modeling? KTO: Model Alignment as Prospect Theoretic Optimization

Reference 40

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source=pdf_text observed=2026-08-07T00:13:55.166044Z digest=sha256:548a865fa22e4090341c980d1ad650e5d7edf4a10e0505df9641b8bd7f8da9bf

Observation 8cf72f59-a5d0-48e7-afe9-830c8e57cd4c · outbound

This paper cites WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model.

Quo Vadis, World Modeling? WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model

Reference 41

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source=pdf_text observed=2026-08-07T00:13:55.289440Z digest=sha256:1816fea3b69f76f1f159751b46dc369145d3ed8bf6b2ade0e8c184081e3cd44a

Observation 283c86f9-d860-4b58-89d9-a847228fa92c · outbound

This paper cites 3D Gaussian as a New Era: A Survey.

Quo Vadis, World Modeling? 3D Gaussian as a New Era: A Survey

Reference 42

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source=pdf_text observed=2026-08-07T00:13:55.401762Z digest=sha256:fdc0f6277969173654a7c37a9846b20b7d011e555209a72655420d2a058a3f01

Observation 5eece61d-2ccd-46b0-a0bb-803a8ee3998c · outbound

This paper cites Webworldmodels.

Quo Vadis, World Modeling? Webworldmodels

Reference 43

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source=pdf_text observed=2026-08-07T00:13:55.561998Z digest=sha256:322656ffd89dc1276e2f40068a95b652e50488d0fcad984dde6024c9e9dd9ba1

Observation 3c5c2615-9836-4fe2-b7ad-7e26d3d23025 · outbound

This paper cites A Survey of World Models for Autonomous Driving.

Quo Vadis, World Modeling? A Survey of World Models for Autonomous Driving

Reference 44

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source=pdf_text observed=2026-08-07T00:13:55.682103Z digest=sha256:3f9e47e26be5079ea8d157f63985594e0a6c445b4ad72eaaef2460ee3fd3a78b

Observation 5b5b011b-80f3-456b-b9fa-69557b9c675d · outbound

This paper cites SceneScape: Text-Driven Consistent Scene Generation.

Quo Vadis, World Modeling? SceneScape: Text-Driven Consistent Scene Generation

Reference 45

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source=pdf_text observed=2026-08-07T00:13:55.883984Z digest=sha256:5824cfe863c5b69a17ba7e3656d48546d43a859b896d8e04f2b2b2e65c17939e

Observation 76c2a1bc-65e2-4b64-8165-019d5155e6d8 · outbound

This paper cites MCP-Cosmos: World Model-Augmented Agents for Complex Task Execution in MCP Environments.

Quo Vadis, World Modeling? MCP-Cosmos: World Model-Augmented Agents for Complex Task Execution in MCP Environments

Reference 46

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source=pdf_text observed=2026-08-07T00:13:56.042890Z digest=sha256:99265715b4dcddcbed3fcec1d93847ee89d06d284d0547fa8dee99261b3fcc3d

Observation cbe2d4c9-8749-4664-b871-20b35e68a187 · outbound

This paper cites Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

Quo Vadis, World Modeling? Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Reference 47

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source=pdf_text observed=2026-08-07T00:13:56.152212Z digest=sha256:d91aaa8f0f1adc83d83917649e558e8d6ed7478dfdb9b1040e86e1e5fc5fed0b

Observation 5ecb62e6-1028-412d-929f-8f84362d3192 · outbound

This paper cites WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis.

Quo Vadis, World Modeling? WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Reference 48

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source=pdf_text observed=2026-08-07T00:13:56.263410Z digest=sha256:d3522c0b26311a79254cc745756fc2cff044c6e5fa0fcb23101a125fbf8f81f9

Observation 7d0f899a-43a8-416a-86b6-5ae5e013c063 · outbound

This paper cites Advancing Open-source World Models.

Quo Vadis, World Modeling? Advancing Open-source World Models

Reference 49

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source=pdf_text observed=2026-08-07T00:13:56.398606Z digest=sha256:871270261d3f20b48417b7ba1be998d785a8b60ba1bce72ae41cc4d71127abaa

Observation ac1ba2bb-3350-4567-896f-2dc5e94d0f00 · outbound

This paper cites Genie 3: A new frontier for world models.

Quo Vadis, World Modeling? Genie 3: A new frontier for world models

Reference 50

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source=pdf_text observed=2026-08-07T00:13:56.530049Z digest=sha256:4028714b9f2d08e1eda75065a79ec34f7f6917697f94ae9aa309910af36e4a4a

Observation 0a7cc045-8361-467e-8fc7-19dd55692a46 · outbound

This paper cites A Survey on LLM-as-a-Judge.

Quo Vadis, World Modeling? A Survey on LLM-as-a-Judge

Reference 51

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source=pdf_text observed=2026-08-07T00:13:56.677160Z digest=sha256:f953c54200684e7d27fe6f983baa396e7c7cbf2c015735f70d9cc5379a0d043b

Observation 0ab6e9b9-3414-469c-8240-21394253aeb4 · outbound

This paper cites Is your LLM secretly a world model of the internet? Model- based planning for web agents.Trans.

Quo Vadis, World Modeling? Is your LLM secretly a world model of the internet? Model- based planning for web agents.Trans

Reference 52

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source=pdf_text observed=2026-08-07T00:13:56.779041Z digest=sha256:c942191c878d86f116c3a3188e75ef643cd17f591de11a55eca18a3d50b1b69a

Observation 44f3c16b-744d-4134-8bf4-f29b125ea627 · outbound

This paper cites Computer- using world model.arXiv preprint arXiv:2602.17365, 2026.

Quo Vadis, World Modeling? Computer- using world model.arXiv preprint arXiv:2602.17365, 2026

Reference 53

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source=pdf_text observed=2026-08-07T00:13:56.857036Z digest=sha256:5deceb04d79ffa49889c7caf9e001ed8b7a9ebe7fcaa0fb65ec5175c4fec1d57

Observation e6912a83-f201-4feb-80c2-2f0cee7a6168 · outbound

This paper cites MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft.

Quo Vadis, World Modeling? MineWorld: a Real-Time and Open-Source Interactive World Model on Minecraft

Reference 54

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source=pdf_text observed=2026-08-07T00:13:56.935119Z digest=sha256:f9d8bb678a1431436719ee4c5d525e27c4ad863115d2b512572a76b978710386

Observation 23b3a057-a2a2-4d71-9d70-b52bf2c72cb3 · outbound

This paper cites World modelling improves language model agents.arXiv preprint arXiv:2506.02918, 2025.

Quo Vadis, World Modeling? World modelling improves language model agents.arXiv preprint arXiv:2506.02918, 2025

Reference 55

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source=pdf_text observed=2026-08-07T00:13:57.036751Z digest=sha256:fc6ba0389b30c6c56e3511bb4993622adc008209dc0c7e0919f99e9e91a5c066

Observation ad6789f8-6c5b-4f1b-b98f-7010abbd5870 · outbound

This paper cites When world models dream wrong: Physical-conditioned adversarial attacks against world models.

Quo Vadis, World Modeling? When world models dream wrong: Physical-conditioned adversarial attacks against world models

Reference 56

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source=pdf_text observed=2026-08-07T00:13:57.120049Z digest=sha256:ee97b4aef142ab7b368fc3b19b6c0096e788d712f80d023656a6561086fd626c

Observation 3d6785de-fb56-4ea0-8e46-06f187c03e81 · outbound

This paper cites World Models.

Quo Vadis, World Modeling? World Models

Reference 57

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source=pdf_text observed=2026-08-07T00:13:57.230297Z digest=sha256:5c06d2e60f7137dd5b4726228c98d4c58f13ff67178ef935f07e7b2778f38149

Observation e60719bb-c553-40ba-9b4f-606fa5e8282d · outbound

This paper cites Learning latent dynamics for planning from pixels.

Quo Vadis, World Modeling? Learning latent dynamics for planning from pixels

Reference 58

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source=pdf_text observed=2026-08-07T00:13:57.353195Z digest=sha256:21ea05445d1ac692a13297c6f97cf579ed92dc9d99d1d4cc6a61b283944855ba

Observation 9892611f-b34b-46fe-966f-00692b7a6f39 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Quo Vadis, World Modeling? Dream to Control: Learning Behaviors by Latent Imagination

Reference 59

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source=pdf_text observed=2026-08-07T00:13:57.565203Z digest=sha256:42b8cb75e722da46e8b012b5fb50c65bfe47916cee01d20c8029abbef337e7d0

Observation 41d0c5b7-0269-47f0-a67f-9a7d4939157e · outbound

This paper cites Mastering Diverse Domains through World Models.

Quo Vadis, World Modeling? Mastering Diverse Domains through World Models

Reference 60

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source=pdf_text observed=2026-08-07T00:13:57.661235Z digest=sha256:fcf4bc2ede171fdc4b44456220f0e9e4813bad9cf7b4af50f83da4ce6f8889d2

Observation cf79d3c0-6abf-45d3-8229-59cca444bad6 · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

Quo Vadis, World Modeling? TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 61

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source=pdf_text observed=2026-08-07T00:13:57.855379Z digest=sha256:c8c2e4a4b21c8370e6ad5e53b445bda4bc51a2c9c36d80637602fbe0df63c195

Observation 0e5f66ef-f470-4afb-8980-d640b52fb9a5 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

Quo Vadis, World Modeling? Reasoning with Language Model is Planning with World Model

Reference 62

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source=pdf_text observed=2026-08-07T00:13:57.978737Z digest=sha256:8e9de9e87d7c2dd6035d915128612857dd795ef20856237762664b3b75a4f961

Observation a10104c6-9a34-4155-9d75-f93fb2c24703 · outbound

This paper cites Video Diffusion Models.

Quo Vadis, World Modeling? Video Diffusion Models

Reference 63

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source=pdf_text observed=2026-08-07T00:13:58.121367Z digest=sha256:d7feff4a737511fad4f452302390ecbf973c2d64563198f1f23551e3136ce23b

Observation b8702038-2fd6-454b-9343-41c44823ddef · outbound

This paper cites Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models.

Quo Vadis, World Modeling? Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models

Reference 64

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source=pdf_text observed=2026-08-07T00:13:58.278339Z digest=sha256:df950b90212a781503b97fc8aa56b42ceabcb2eecc3d86621d7d951e0fd6045b

Observation 99dc891f-cc62-4db8-aedc-47a9190b41fa · outbound

This paper cites ORPO:Monolithicpreferenceoptimizationwithoutreference model.

Quo Vadis, World Modeling? ORPO:Monolithicpreferenceoptimizationwithoutreference model

Reference 65

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source=pdf_text observed=2026-08-07T00:13:58.378031Z digest=sha256:2cbb7e915393bdcbf66ff7e135c22a8e8de58b00e9d27188ed37b11f5437ec40

Observation f28a44f7-48de-4b66-8894-aa4b2637aa39 · outbound

This paper cites Diffusion models for video prediction and infilling.

Quo Vadis, World Modeling? Diffusion models for video prediction and infilling

Reference 66

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source=pdf_text observed=2026-08-07T00:13:58.538077Z digest=sha256:6685cf78e45bc4316456c105b6def7493b0ed721e5dad3370eccfcdb392726a7

Observation a38e7dc7-91d9-46aa-b94b-c0e214704c6a · outbound

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

Quo Vadis, World Modeling? GAIA-1: A Generative World Model for Autonomous Driving

Reference 67

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source=pdf_text observed=2026-08-07T00:13:58.673228Z digest=sha256:86b28b4f0a6d628bd2b9b3bb7ec09869ae0b4df6a54760b493f4e1eb5fa4a151

Observation e478cc8c-653f-4e57-bd1b-b316e0db01b5 · outbound

This paper cites IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing.

Quo Vadis, World Modeling? IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing

Reference 68

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source=pdf_text observed=2026-08-07T00:13:58.827947Z digest=sha256:f2b31b6f8c661bb0067bcec094b4e7257462b20c55e1bbdba0aedba35eebb8e1

Observation d7ee1342-5516-4e36-83ea-c5fbf59668d1 · outbound

This paper cites NavThinker: Action-conditioned world models for coupled prediction and planning in social navigation.arXiv preprint arXiv:2603.15359, 2026.

Quo Vadis, World Modeling? NavThinker: Action-conditioned world models for coupled prediction and planning in social navigation.arXiv preprint arXiv:2603.15359, 2026

Reference 69

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source=pdf_text observed=2026-08-07T00:13:58.957744Z digest=sha256:09ad9e3a8b1434e5db219b08ade71e24e0b5e3fc9479e667342469cd1b91b267

Observation ad3f85ea-6b51-4094-a9a1-7b753821c9f5 · outbound

This paper cites OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation.

Quo Vadis, World Modeling? OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation

Reference 70

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source=pdf_text observed=2026-08-07T00:13:59.086704Z digest=sha256:3df6e0679e1216e0d4533290ac0fea789a62ddb92ae40ba70ba08d8dace00032

Observation 30260450-9407-4e33-a27f-29354ecfe553 · outbound

This paper cites ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation.

Quo Vadis, World Modeling? ParticleFormer: A 3D Point Cloud World Model for Multi-Object, Multi-Material Robotic Manipulation

Reference 71

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source=pdf_text observed=2026-08-07T00:13:59.247101Z digest=sha256:0940fbe8abb85c9457c84b21394571f9bcf0f34b807458291c7730e65fda7bd0

Observation 18be73f1-8390-4889-bcac-ed64b1e9148a · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

Quo Vadis, World Modeling? Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 72

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source=pdf_text observed=2026-08-07T00:13:59.377959Z digest=sha256:dfb7f9248c3accf0b4a84192b78c6476496d7bc9a6024d0a840aaa05df579398

Observation 3cbf99e3-39fa-4cc0-909f-0dd308e218ae · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

Quo Vadis, World Modeling? VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 73

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source=pdf_text observed=2026-08-07T00:13:59.493135Z digest=sha256:72f841eb66eac7ca3a51c2b93ff5198aa495a748dd8a2a92185e68fcca6cba7d

Observation 015ba495-3392-4137-8f53-ab103ce1461f · outbound

This paper cites PointWorld: Scaling 3D world models for in-the-wild robotic manipulation.

Quo Vadis, World Modeling? PointWorld: Scaling 3D world models for in-the-wild robotic manipulation

Reference 74

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source=pdf_text observed=2026-08-07T00:13:59.620782Z digest=sha256:19791a55f0863560c3a2a7ffc617e49b51bafffbd0d1b34cce8a89f052f621e2

Observation 736469fd-6f6b-4947-b83b-592cf352e673 · outbound

This paper cites CAS- CADE: Cumulative agentic skill creation through autonomous development and evolution.arXiv preprint arXiv:2512.23880, 2025.

Quo Vadis, World Modeling? CAS- CADE: Cumulative agentic skill creation through autonomous development and evolution.arXiv preprint arXiv:2512.23880, 2025

Reference 75

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source=pdf_text observed=2026-08-07T00:13:59.732134Z digest=sha256:f757c2cfec3e6e78cc03f1559887c2d18e5392d05425614ed8b2e80f90b7668b

Observation b19ba749-5d32-4ce3-9e9d-fe3272aec4e7 · outbound

This paper cites When to Trust Your Model: Model-Based Policy Optimization.

Quo Vadis, World Modeling? When to Trust Your Model: Model-Based Policy Optimization

Reference 76

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source=pdf_text observed=2026-08-07T00:13:59.863471Z digest=sha256:892dec661c17265952a305a8567f43b0cc302a16b092b733a473e60d04c5ce1e

Observation acfdb82d-33b9-4012-b811-93d6d9296bb6 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Quo Vadis, World Modeling? SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 77

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source=pdf_text observed=2026-08-07T00:14:00.028987Z digest=sha256:858e3b8db4fb9f830605c1871534e7426a1e84371d29179cb3b297c79bc8dbe0

Observation fb6490ae-058f-4dcc-928a-c6dd86ac2b3c · outbound

This paper cites Campbell, K.

Quo Vadis, World Modeling? Campbell, K

Reference 79

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source=pdf_text observed=2026-08-07T00:14:00.359713Z digest=sha256:0a79bd44fc4e9fbf3ccaaecd088a87c51e3cf44774a345e6fe7fa055ba52df47

Observation 1869e172-5ccf-4251-a77e-6c13ba01f8d6 · outbound

This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.

Quo Vadis, World Modeling? How Far is Video Generation from World Model: A Physical Law Perspective

Reference 80

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source=pdf_text observed=2026-08-07T00:14:00.561971Z digest=sha256:f6ed1143a739e707c8c1b336e9cf77cb74c120ace0946557f0c6d985bf4f84c2

Observation 270d5609-91cd-4f56-a308-037df564de9b · outbound

This paper cites 3D Gaussian Splatting for Real-Time Radiance Field Rendering.

Quo Vadis, World Modeling? 3D Gaussian Splatting for Real-Time Radiance Field Rendering

Reference 81

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source=pdf_text observed=2026-08-07T00:14:00.691150Z digest=sha256:9ba391a868d64b15bf7f1ca7bc35befb49da095c18040a32a2a24fc6e5a4c8db

Observation 92f07825-7f06-4a40-9a2d-0c02d353c3cc · outbound

This paper cites an unresolved cited work.

Quo Vadis, World Modeling? Unresolved cited work

Reference 82

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source=pdf_text observed=2026-08-07T00:14:00.227718Z digest=sha256:7e5dda5da7d52f3bdb5b0b8497d7ac7e59a43b827ad98bf75074c38852101153

Observation 69912466-b51f-40b4-9385-4310e9cdd587 · outbound

This paper cites Pathdreamer: A World Model for Indoor Navigation.

Quo Vadis, World Modeling? Pathdreamer: A World Model for Indoor Navigation

Reference 83

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source=pdf_text observed=2026-08-07T00:14:00.967892Z digest=sha256:934695ed2a53a75f2bac91bd226f5c0dbc9351a31153d778397fbfd1f0df071a

Observation 9deec7c2-5ffa-47c8-8e31-d1a3d9a123bc · outbound

This paper cites Generative Visual Code Mobile World Models.

Quo Vadis, World Modeling? Generative Visual Code Mobile World Models

Reference 84

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source=pdf_text observed=2026-08-07T00:14:01.084068Z digest=sha256:5e014c8f9054d56bdcaf8fe56df86272d32b856ca47f50cf2184fec094674847

Observation 1ad1115b-e7f9-4aed-a6c2-41b49d5c7bfd · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Quo Vadis, World Modeling? Large Language Models are Zero-Shot Reasoners

Reference 85

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source=pdf_text observed=2026-08-07T00:14:01.202114Z digest=sha256:abc61a882b9c841a385c79265a0c96bde76e8f442ddb99a428658621afd5b676

Observation 47ad3b83-c549-4f1a-bc4e-9a9f1afbded0 · outbound

This paper cites 3D and 4D World Modeling: A Survey.

Quo Vadis, World Modeling? 3D and 4D World Modeling: A Survey

Reference 86

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source=pdf_text observed=2026-08-07T00:14:01.335145Z digest=sha256:dd60493c70cd55b3593ed7f073fdfa0573089f47eb529b6ed1be829e0e74df92

Observation 23f0f18b-0cf3-4c05-bfe9-84b4bcc6320b · outbound

This paper cites Prometheus: Inducing Fine-grained Evaluation Capability in Language Models.

Quo Vadis, World Modeling? Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Reference 87

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source=pdf_text observed=2026-08-07T00:14:00.821435Z digest=sha256:e411ecf6350aa482ccb32a4a704b31d4367923e83dd47dd145695ee9f19dfde1

Observation 656deb64-4dd4-42e0-a617-7f1281e26905 · outbound

This paper cites A path towards autonomous machine intelligence.OpenReview preprint, 2022.

Quo Vadis, World Modeling? A path towards autonomous machine intelligence.OpenReview preprint, 2022

Reference 88

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source=pdf_text observed=2026-08-07T00:14:02.431452Z digest=sha256:695f0f448744f30b172036501d0c92272ecae8b81086ebee658071680796c347

Observation c940c8ed-b130-488c-80c3-524b8590abc2 · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

Quo Vadis, World Modeling? Grounding Image Matching in 3D with MASt3R

Reference 89

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source=pdf_text observed=2026-08-07T00:14:02.571229Z digest=sha256:e578173d0058075fd98d894ba92f44b9225b263ebad0eaa87f4d43d5fc7ed6f6

Observation e8b57921-b747-4c21-924d-f359b64f7a92 · outbound

This paper cites BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation.

Quo Vadis, World Modeling? BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

Reference 90

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source=pdf_text observed=2026-08-07T00:14:02.647580Z digest=sha256:dcb894f28bafad2e0a8eabd42180994f00c061e6604377ecc21c3551e89b16de

Observation f37a8bb2-5faa-49a9-824b-b4f0e931d151 · outbound

This paper cites WorldModelBench: Judging Video Generation Models As World Models.

Quo Vadis, World Modeling? WorldModelBench: Judging Video Generation Models As World Models

Reference 91

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source=pdf_text observed=2026-08-07T00:14:02.723079Z digest=sha256:98a1502f92a657a308e83fc9e133ff4d69a79b70e6d912bd235c31bf4bbc39a5

Observation 9765b7ef-976a-4043-92fc-e054f76aaef2 · outbound

This paper cites Is Your Driving World Model an All-Around Player?.

Quo Vadis, World Modeling? Is Your Driving World Model an All-Around Player?

Reference 92

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source=pdf_text observed=2026-08-07T00:14:01.674536Z digest=sha256:c09743ecadf64a872b866f9e8f89debc0dd82f660d722c98287b9808fe4e99f5

Observation d025adcd-7dd5-44b6-9a49-5974552078ca · outbound

This paper cites Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses.

Quo Vadis, World Modeling? Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses

Reference 94

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source=pdf_text observed=2026-08-07T00:14:03.294194Z digest=sha256:7f34e51cdc36de95a0ba8a2c53be00e089366d6a8281d4fc7f48e687ce0c1c20

Observation d93562c4-f6bf-4119-bdc8-efb2d3410d7a · outbound

This paper cites A Comprehensive Survey on World Models for Embodied AI.

Quo Vadis, World Modeling? A Comprehensive Survey on World Models for Embodied AI

Reference 95

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source=pdf_text observed=2026-08-07T00:14:03.425756Z digest=sha256:93e4e3357053cedaa03e005e61aa21886fa303b8e59e81b0f1b90f70c616642e

Observation 92908842-d826-41de-bd15-bf46b2f7bddc · outbound

This paper cites MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos.

Quo Vadis, World Modeling? MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

Reference 96

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source=pdf_text observed=2026-08-07T00:14:03.547097Z digest=sha256:7dac29e9176d4dd456963ccd854feffd058cd0ccaade73ecd5bdb327ac9e6527

Observation 30a25c75-01b9-4fb4-94de-8661041649a3 · outbound

This paper cites DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling.

Quo Vadis, World Modeling? DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling

Reference 97

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source=pdf_text observed=2026-08-07T00:14:02.872970Z digest=sha256:2c5856a65007c24d032f3001216c6a8b20f99ec8821dcf0ba13a9762122f2f64

Observation 9417c376-aa33-413d-8fd9-7b3bd67f6ef1 · outbound

This paper cites Codeaspolicies: Languagemodelprogramsforembodiedcontrol.

Quo Vadis, World Modeling? Codeaspolicies: Languagemodelprogramsforembodiedcontrol

Reference 98

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source=pdf_text observed=2026-08-07T00:14:03.823108Z digest=sha256:4c0d2e84387253dfaaca2617240ba585b4abdb7bd5c64945cacac2aecfb9acab

Observation 621450be-873e-4979-8b93-2d057cb21d4c · outbound

This paper cites an unresolved cited work.

Quo Vadis, World Modeling? Unresolved cited work

Reference 99

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source=pdf_text observed=2026-08-07T00:14:03.183457Z digest=sha256:b0988cb6b5d65dcffee70eb07f45a2920be0d688c9d431b6e0de0ac27f9772d4

Observation 6793d2ba-dc6c-4f72-b3d3-a5be3d4c46c8 · outbound

This paper cites JailWAM: Jailbreaking World Action Models in Robot Control.

Quo Vadis, World Modeling? JailWAM: Jailbreaking World Action Models in Robot Control

Reference 101

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source=pdf_text observed=2026-08-07T00:14:04.691593Z digest=sha256:d77f3fe4939576c264b22e475388e878f0a00088c613df887886f703f4d3777b

Observation 24882778-3b69-4094-9c7a-8ddfd00dd58f · outbound

This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.

Quo Vadis, World Modeling? World Model on Million-Length Video And Language With Blockwise RingAttention

Reference 102

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source=pdf_text observed=2026-08-07T00:14:04.837069Z digest=sha256:69a38fb429a2074c683aec83c84fc52aa0ad342b8acfbc66017644deb8df5899

Observation 3fdecfe2-3550-4b24-ba64-8cd39192a71f · outbound

This paper cites LiDARCrafter: Dynamic 4D world modeling from LiDAR sequences.

Quo Vadis, World Modeling? LiDARCrafter: Dynamic 4D world modeling from LiDAR sequences

Reference 103

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source=pdf_text observed=2026-08-07T00:14:03.688692Z digest=sha256:3882bfb01b4514b7af9ac48aada5d8d48f8558ec9daf4e19064a475cad0ef6fe

Observation 3c569184-f91a-4c2a-96f6-6122deedca7d · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Quo Vadis, World Modeling? G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 104

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source=pdf_text observed=2026-08-07T00:14:05.920491Z digest=sha256:c4b51866a09ae487a40cf56f52f5c429a29b195ce0684e8bde66beab4e1bfec1

Observation bb06554f-0d80-42c5-afb9-0f9fe81a2240 · outbound

This paper cites GWM: Towards scalable gaussian world models for robotic manipulation.

Quo Vadis, World Modeling? GWM: Towards scalable gaussian world models for robotic manipulation

Reference 105

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:14:06.027717Z digest=sha256:8970d1e0dba3502a363c41f6dab0bebb3255a9a71a2261887e586c329899ab77

Pith citing papers

No inbound Pith citation observations are available.