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Paper Citation Record · LEDGER

Quo Vadis, World Modeling?

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:551a95e5228e6f6a161c28ae1e6083940bb69482f7d5c988b0f60ef00a565f50

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=sha256:9f313dae2b3bcf14cb58fd05d390bab5a58ebe24339a8c86735b47c0a8f7a4c8

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:dabd26ceb532492664f5e98b46ef23d2fa0568f202091d2f1fb97cc47a78467a

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:b28f57f9cba109934f7064249b73469c531b768eb44aa5d0cf7ae452744fb00a

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:cd7a0d986f95d21764533730187636201dce794fc2c6076422f9791d3e4ab1f7

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=sha256:74a836e8203db42656f19fe62d1487b3af32f0ddd7e1b44b5e7cce32c96239e9

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=sha256:179d2bc1f1185d7eeb18297f699d4da0b06e6ab5302d44d2a5d5a516f257599f

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:c6d0a9f043321ce1a8654f3c2357b557434963deaba5b3d4448ab6a0791f45e6

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=sha256:2f50cd5a4712fedb9c08d78eb89b4bcdb1d13dfb55df9c75ebd845b62c8f6694

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=sha256:19ec37460ee558740039014885b239d235d947e8a123a1c02012695dbdc754ad

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=sha256:6679c450cdb6aa3c5d7929bcb69594851e3a361a7d84f9c7d973ea5f776627fc

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:d65b685b40767b303e53926fd9422c0717a95bc9ffcc0a249b0c16c14c59563f

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:c4df4f678ddd4641ac72821623bbbf42cf409a428e544589e8f09d58114ebcb3

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=sha256:8b4266ac6ff9f3bec89e042b1e38f6580815489384fda05d6bbd13b90c8ebbdf

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:b52cef491609b7e973429588c2a3eac2911476a294a1ab94e0e3604334787c49

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:a2daab20ed65ef0beb6cf8ee990d4b6936c9e79ae1d8c8157883bf87199ffe93

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=sha256:8e16bb06a913eccdbf41235fa0fac746146003c9abecbfa824c4ef2266828a8c

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=sha256:72f9d232fb2c422eddac383f8793f2178e10f75cb134645dee8e8e88539a5918

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=sha256:3f7d3be5bac9fbf2ff96e3e8a6c948916ce46ccf9485c779c391441368f13358

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=sha256:5d85652916bfa8eb35cbe3b4056e919a96442308ec062b3d86669e128c48862c

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:d39ec48601bb03889ba28f159a18b623c207b9e09d2048f4bf7514d8cc7f2b45

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=sha256:21ef1e6eff055ec59bde6842b7c7ae9e0e73c9fdeb958fe607e25f2e3abcb791

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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source=pdf_text observed=2026-08-07T00:13:52.440004Z digest=sha256:1a72f89dd975229bff9ca6e4e3e80e6355ceab25b2127292507d4aa13ecfc1a4

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:bed9fb96d6d2558c44262250584c4c9d5f8fe6c8424a0c8efae821cc5cd16069

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=sha256:23b44b0a043319a0df4fe67038e00f6de5025519ed9fde86cfbeb05581f2b738

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=sha256:97c272231da3dcf6d1a8de9b1a9eb7e08bcf55bb8fab8347fa2021828caeb38c

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=sha256:8b685e557ead9921311914c55ef463939b8515f8c64297256bd020ac5ba0c672

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=sha256:14921d728a2d1efb8671ef2434c1360620747b7ea00a62854d547d9c9491f0bb

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=sha256:89e3718a208ee809b31e25a9db0c551d564bf15abed78b0659caf6c9fa1c3d2c

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=sha256:364ce22fccb3d9175875258c097917af753eb33f724309ce2da2676369b33617

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:c26ae7e0ef672084a0bcbff2f4bf11b443835dddbcb87c9f0417e1696df98133

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:b10643022344651b4b629cc4b96794fd3778149374c1f7c144fd138607a8bdf7

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:a58cc968116fda6f62201ce5872e24e7de4f38a31415a7ae667da43334d20a1e

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=sha256:011b3ebc71f553deb6343ea512d1620f741e085b565a4aa502174bb294607a0a

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:f99c2b59e10b31be3582b833400d8f497be7dbfb5ae44e9ae9d8928471c9662a

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=sha256:8c41ff460adfe1cdc74c46b446a415c6f415197b85b2fe5ee1dbb8580da878ba

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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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:e0421b7b726c72945bfec8d7f76fe5d7ec4362bfcf4ed14c86faf8e3311a6d39

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=sha256:50e18d92818bc2ef4e0e109ffad682a73da0814a9007e828daaabe306be4a0ee

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:d0004cfa47a97101a6f4c728772b941f625d4cd8ed1fcfb9fd396725167494ad

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=sha256:323e17df867f2df9c4267b150c90ebd364d287fa61ccb8dd80e33c5927684594

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=sha256:77dfee98767d2ac13288e11c39ca60d7280435bb6d9f0459eadc13cc25bf7564

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=sha256:6018bb8e16a1667621d38ff208414c9a9b752542d37564656b4fdf49e8fe523f

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:cde92097d2881c96e67956234fc6e107259d3686b39fb5e77022075485d8de4a

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=sha256:0afa46c95bf06d4134754abaab98ea96b2aa5bdd9ff5b1abef19d64f95600dbf

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=sha256:7bd924eb28f48adf46ceca6e64993f0b57f28f82b4ec37ad4867b87bfeaf5ba3

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=sha256:714a9a4ba9696633465683f70afaf09b81229882a8f4608ae06999046bd5787d

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=sha256:374b7633068f6ebd523061483eb2811c37039227c9544ca6cf2b1019e3baf3cf

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:c7e99602888a8b64a94a4e726dfefb76109bf208ee2e01e70e966a77cc9645d1

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=sha256:0ad5f1200896738688aa2050948ca1d85579c109841a0aff6c1d704e14c94019

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=sha256:23fbcb7cd261c5e7d0c3b572557215a6e5279702a9abccbaaa8273b6dec5d333

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=sha256:11dfe4af4945a9303edc11c7d9df459545862ce16a0d5a0d86e37ca3471b9143

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=sha256:28200b1274b128f7537154b96f21d025bdb58ad3180583446ba867ae05d54b29

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=sha256:25d21b98415de1f69c403fefc907bbd3fd1601f8fa5036025fdc0c1c3da3326f

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=sha256:47b2ea05449a08c2f6e78f6424969f5b29666ab0c45bedf47baac7f83ae33f57

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=sha256:75105afa828bbc321049fe1c292e15cba4fcc3d4889590072697817644d8c2d5

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=sha256:3194c72b65fd407f800951fa3539f68c9a505c091a763a56f45a735f58d13f3a

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:eb43fef10eaf038c3851d34d850def55e0791ec1dab17ad776d884a067b4ace9

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=sha256:0dece716d9c772d93464bb86f70b32fd124c1b85c6a36811d37d1b1c1a560acb

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=sha256:8fc63b1ab76e4f6ab05a09c23a8b048ae4ebd8d40a0b3eedb8a39bf9d5499817

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=sha256:769f893d4a8a731d0541fc6fdc75faf86b96ebb49e391901748d4713b6fb10bb

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:dc68fb397468787bbf0355904984c9bbed7623a3c93d63c4dc9807c72f65d103

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=sha256:50f96c45b0ac9ade4b76fef77f094718e3826dc409999743e4059027ed73888b

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=sha256:8f9673d1d46f47e0366d7b8dd23cd4e27aecb330d4a155d962951e7d5edcf34a

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=sha256:3c03992ac67877b973a8f9d08bb8c5aaceb2250cf92ee2c41b6ed9477acd7ed1

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:e28e89b1f0469bdf86452e48880e0ab180a3a6e578cee5372149631c821945e9

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=sha256:076f7f48f4aea12725d91428464613321ae687a00160314eb8415478ead883e0

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=sha256:6e550d2a6043aa98113c508faf1f47f6423b7e2bfa9e055c6d906521b86824f6

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:d0287a6446c29e4010ae67de40fa7c613eafa3cbb8b0542815ce18a8b45dcbc0

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=sha256:77ffffc0f04e672be8cbce8b338494a869ac8c484158b6c021b4b0e8ab50e32a

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:a9855a9c569c403088d01adb8b05497b838af19041dfa416a44d1b6609e791e9

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:c754d0d9826b5ef104ed8a08a3aa66b152f7732d9c1bef609da085ef50886735

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=sha256:2aea750b00484cdd71b6591f9435d84f1a2054c0c1a867c53141736b7e4fd16c

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=sha256:6c8047af9fbd145d48316144102c27ad0fbadb1c12c6c4221d88d0c474e5b7fe

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:c07d866900732c90870818b9d342c93e0de3f23a8ccf5435b58a3317730e7e5e

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=sha256:1f9cd8af0fc9aedd994c59c1d827c09ea02ee33b1b2bcf141ebcb77abf1f5d60

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=sha256:9d714a3cece1dc5131ae208716722672e9f4b9540d1930386644e09f011bba2e

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:f6f681502da08f4252afe38ba8d0c0e326c872ef7968142b778f754e0ba5324f

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=sha256:760f72b6f4af1ee011a135e4a46d65cd5552cf09a66b2e864642df286f670021

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=sha256:132bf19dd8bb4a0b7145db6e740d09870f7d6940d457eb19090d48bc92e910a9

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=sha256:17a7a1b95f74be6de2e38f835e99534e106c9865dd15edb3ff4139ca980ac3ba

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=sha256:7217831cd2876c6628ae213b00850734c8f8d40f6a210cca790c90626d0165ad

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=sha256:30a8081478cfd190238c712622b3bc8ac71da650cdd4fde5048bd6f7321f94ed

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:fd233591378a70ddeea2c623fdd2c85dced2cc1e8fa3209ead4e50fa7aca0c88

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=sha256:11236e7bddb7e907bc8518f5fb68464e67e0a8ca6ecbc32f9fa79c57ec54ccb9

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=sha256:72251341e70b7556ff5a5c01a3d8cdedc1e104e480b77b075b6e04196a615def

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:a2d4d6bdfd70ac2f86f3fede240d30c49419aeeb9efda7eb34a1518d20eee4d8

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=sha256:7e6f0ec721c23a7279255d34d7bf2171130607e54e98bc55f8e45e28ac3e7be7

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=sha256:2ac295225918a41042cdd939137f41d9a624cba6f6ad7f3e166e4658448054df

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:c6257ebf03241a8117fed34527625058e9b7bb3c4a9dbc048f10e9708bcc241c

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:df4876a40a07f46a2d295c07ab0c6bb058b92f825807f6825d8d7cf887c0e78a

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=sha256:6c9cdba7347e1e01f8b32b266e4c950fa528d950e4ac36654e0462b59aced221

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:e059418cf7f80d7201018cb8d1c742ed682388b6f85b55eab363109f676fddbf

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=sha256:975fb9388c3e31276fc0c697446c091f24f846a2aaac118ba423aefa7fa28ab5

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:a3282ef94468a2e433c876d084b8fa79792d494de4663a502682df5972b02768

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=sha256:604aec0bd4e664b20aed8fe127ce17a6b9d672e7722a33349284dc3c73b37a55

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:14:04.837069Z digest=sha256:acb325eac916eb9584ee25fd8d5c06f336799700056b7318c864b0eec0c3f8ed

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:feb211129135d718a3012bc508166e79397f1c77412a26e24c0c9eb98c91d913

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=sha256:254285161728fcd5e2787bfdb036f50d5baa96edfcb3ad0e6dfd558135c62a1c

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=pdf_text observed=2026-08-07T00:14:06.027717Z digest=sha256:8f847d1fb125b14381d5c09150a1c94039545ee2fef76d3cbb5ed8fd8dc66f9b

Pith citing papers

No inbound Pith citation observations are available.