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Paper Citation Record · LEDGER

RoboScape: Physics-informed Embodied World Model

As of 19 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 18 inbound Pith citation observations for arXiv:2506.23135.

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

pith.paper-citation-record.v1
2506.23135 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:56:12.204432Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:23:02.126452Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:35.073117Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38930093-e900-414b-835b-7751ed3d240f · outbound

This paper cites GPT-4 Technical Report.

RoboScape: Physics-informed Embodied World Model GPT-4 Technical Report

Reference 1

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Observation 2e303d10-5f94-4c31-a800-b353f9fb53a5 · outbound

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

RoboScape: Physics-informed Embodied World Model Gemini: A Family of Highly Capable Multimodal Models

Reference 2

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source=pdf_text observed=2026-08-06T21:56:06.986653Z digest=sha256:46d9ee4486ae15ff7ae67b0cd68eae7599d974cda7a61d8c8a4bba947fb29b71

Observation d47fb436-0856-4b39-b449-74b9b92ddd03 · outbound

This paper cites Bridgedata v2: A dataset for robot learning at scale.

RoboScape: Physics-informed Embodied World Model Bridgedata v2: A dataset for robot learning at scale

Reference 3

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Observation 3be0d1c2-ef87-464a-abb7-4030a58c1160 · outbound

This paper cites Open x- embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0.

RoboScape: Physics-informed Embodied World Model Open x- embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 4

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 10480055-fd18-4966-8bac-b26ec3fe30a6 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

RoboScape: Physics-informed Embodied World Model DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 5

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source=pdf_text observed=2026-08-06T21:56:07.107996Z digest=sha256:f7e25c91125f2598a57a755011f9fe6e910831bb874d8fe9afbfaab9e77c94c6

Observation f436cb02-c51c-4eab-bd03-ade6e1cfde89 · outbound

This paper cites Recurrent world models facilitate policy evolution.

RoboScape: Physics-informed Embodied World Model Recurrent world models facilitate policy evolution

Reference 7

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Observation c5fdb139-b76b-4091-8cf7-a790a14b5b24 · outbound

This paper cites Learning Interactive Real-World Simulators.

RoboScape: Physics-informed Embodied World Model Learning Interactive Real-World Simulators

Reference 8

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source=pdf_text observed=2026-08-06T21:56:07.249016Z digest=sha256:a45597d07e60456503b35e69a7ccef8764765ad99be045f8cd8d89f4f5ea69ce

Observation 7d94741e-4de4-4bf5-9775-e26df3caed41 · outbound

This paper cites Video generation models as world simulators.

RoboScape: Physics-informed Embodied World Model Video generation models as world simulators

Reference 9

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source=pdf_text observed=2026-08-06T21:56:07.330002Z digest=sha256:38e922fd7e02913972f3c5bae8064086a2861cb560b1869ed647f40e4c20c254

Observation ec0af1ce-0849-43d9-b8bc-48751245927f · outbound

This paper cites Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression.

RoboScape: Physics-informed Embodied World Model Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

Reference 10

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source=pdf_text observed=2026-08-06T21:56:07.377797Z digest=sha256:e575ef6b2e6a8e1fd5c35c443ab37b15a27bb91b18d248c50048654c968172c7

Observation bf904acc-7b61-439b-b3c8-65131c99846d · outbound

This paper cites ivideogpt: Interactive videogpts are scalable world models.

RoboScape: Physics-informed Embodied World Model ivideogpt: Interactive videogpts are scalable world models

Reference 11

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 59802a9e-ac9d-4f1f-bb97-e1730548f2ea · outbound

This paper cites IRASim: A Fine-Grained World Model for Robot Manipulation.

RoboScape: Physics-informed Embodied World Model IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 12

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source=pdf_text observed=2026-08-06T21:56:07.466192Z digest=sha256:f1cb7bdb2b975bbae16f53045e0f6439183da224f041b007a99602e2daa23412

Observation 2e4c45f8-31e5-4b5a-975f-31b039fcfc9a · outbound

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

RoboScape: Physics-informed Embodied World Model Cosmos World Foundation Model Platform for Physical AI

Reference 13

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source=pdf_text observed=2026-08-06T21:56:07.501402Z digest=sha256:be19a1d31e5750a62f9e210e345cd23f1e5fc89f6d9e7f42c777afb681ff6130

Observation f054bf13-fc0e-48e0-86e2-0be15f2f1ee4 · outbound

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

RoboScape: Physics-informed Embodied World Model How Far is Video Generation from World Model: A Physical Law Perspective

Reference 14

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source=pdf_text observed=2026-08-06T21:56:07.565879Z digest=sha256:42e23b6a99074610304e03b350fa5de43c1268ab358db530f735ff1138e25749

Observation 3c3a4515-d0cb-4339-af5e-a68e731f2e1e · outbound

This paper cites Exploring the Evolution of Physics Cognition in Video Generation: A Survey.

RoboScape: Physics-informed Embodied World Model Exploring the Evolution of Physics Cognition in Video Generation: A Survey

Reference 15

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source=pdf_text observed=2026-08-06T21:56:07.644668Z digest=sha256:6c39e1b53867f5d000d8e5ca8c9e0acf56abfebd618f27b9c0cd1b0094ed8e4b

Observation 4e1360c3-4a96-4455-9b03-44228dfbfd3a · outbound

This paper cites T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation.

RoboScape: Physics-informed Embodied World Model T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation

Reference 16

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source=pdf_text observed=2026-08-06T21:56:07.727890Z digest=sha256:696743eb9a03de35794c87c571e50bc9eb4f0390ffc4a34379ea931771a1bde1

Observation 5460f98f-f4f8-4e6c-8c7c-cb9989583a64 · outbound

This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.

RoboScape: Physics-informed Embodied World Model Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

Reference 17

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Observation 9db8673e-38d0-4ceb-8157-a53aa974c35e · outbound

This paper cites Towards physical understanding in video generation: A 3d point regularization approach.

RoboScape: Physics-informed Embodied World Model Towards physical understanding in video generation: A 3d point regularization approach

Reference 18

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Observation b78daa0b-2159-404a-93e0-cca00ca4d0fa · outbound

This paper cites Enhancing sketch animation: Text-to-video diffusion models with temporal consistency and rigidity constraints.

RoboScape: Physics-informed Embodied World Model Enhancing sketch animation: Text-to-video diffusion models with temporal consistency and rigidity constraints

Reference 19

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Observation 0788611f-475c-415f-a0ac-1c665c83cb77 · outbound

This paper cites Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis.

RoboScape: Physics-informed Embodied World Model Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis

Reference 20

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Observation 5946e152-ca8b-4cb6-975b-4e71f24d4aa9 · outbound

This paper cites PhysAnimator: Physics-Guided Generative Cartoon Animation.

RoboScape: Physics-informed Embodied World Model PhysAnimator: Physics-Guided Generative Cartoon Animation

Reference 21

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source=pdf_text observed=2026-08-06T21:56:08.214089Z digest=sha256:fca9e9df1705e9f42744b9e5aa29909dc722451cb3479e5eb32eefb93b74c0e2

Observation 06cc2792-25ab-49b5-9ded-9723e705f757 · outbound

This paper cites Gpt4motion: Scripting physical motions in text-to-video generation via blender-oriented gpt planning.

RoboScape: Physics-informed Embodied World Model Gpt4motion: Scripting physical motions in text-to-video generation via blender-oriented gpt planning

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2e18e9ed-41d3-4ef0-8157-9f526113eced · outbound

This paper cites Physgen: Rigid-body physics-grounded image-to-video generation.

RoboScape: Physics-informed Embodied World Model Physgen: Rigid-body physics-grounded image-to-video generation

Reference 23

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Observation 58962108-fb24-42b8-9e23-d0df415aab19 · outbound

This paper cites PhysMotion: Physics-Grounded Dynamics From a Single Image.

RoboScape: Physics-informed Embodied World Model PhysMotion: Physics-Grounded Dynamics From a Single Image

Reference 24

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source=pdf_text observed=2026-08-06T21:56:08.696435Z digest=sha256:9f416938d84e8d12c380acb1b2fd3c48f1aa1a52a924ce2a42e2af0ad239ff19

Observation ce43a6c4-03da-45fd-af79-2176a0d5f9c7 · outbound

This paper cites Physdreamer: Physics-based interaction with 3d objects via video generation.

RoboScape: Physics-informed Embodied World Model Physdreamer: Physics-based interaction with 3d objects via video generation

Reference 25

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Observation a223f87d-b986-43e8-9e83-03237484d2e8 · outbound

This paper cites Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion.

RoboScape: Physics-informed Embodied World Model Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Reference 26

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Observation 4ffffeba-f3ef-4403-9fde-e191382adbfd · outbound

This paper cites Aether: Geometric-Aware Unified World Modeling.

RoboScape: Physics-informed Embodied World Model Aether: Geometric-Aware Unified World Modeling

Reference 27

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source=pdf_text observed=2026-08-06T21:56:08.961309Z digest=sha256:4d05f1f3d2f6826ce626a4c60f7637c0c45ff0395d479faa94d02ed6612e5edf

Observation b018b080-f0af-4bf8-a2ad-e54a5136b2ab · outbound

This paper cites TesserAct: Learning 4D Embodied World Models.

RoboScape: Physics-informed Embodied World Model TesserAct: Learning 4D Embodied World Models

Reference 28

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Observation 733886c6-ac3b-4665-86be-1e50bb808e95 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

RoboScape: Physics-informed Embodied World Model Diffusion policy: Visuomotor policy learning via action diffusion

Reference 29

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Observation 2b2a1caa-447f-4d81-bbe8-bce695c732be · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

RoboScape: Physics-informed Embodied World Model $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 30

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Observation ddf523f2-5879-4fe0-9116-f32619e7454c · outbound

This paper cites Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.

RoboScape: Physics-informed Embodied World Model Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

Reference 31

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Observation 79f4b0f2-414a-4492-a8d1-20fd09c838f8 · outbound

This paper cites Spatialtracker: Tracking any 2d pixels in 3d space.

RoboScape: Physics-informed Embodied World Model Spatialtracker: Tracking any 2d pixels in 3d space

Reference 32

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Source-reported events for the cited work

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Observation 6f3cd3ec-8c72-431b-b358-607b843d4c24 · outbound

This paper cites Transnet v2: An effective deep network architecture for fast shot transition detection.

RoboScape: Physics-informed Embodied World Model Transnet v2: An effective deep network architecture for fast shot transition detection

Reference 33

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 56ae5ccc-a901-4170-80d9-f1f8c373656d · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

RoboScape: Physics-informed Embodied World Model Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 34

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Observation d62178f5-29a6-4262-9999-f1842054b8fa · outbound

This paper cites Flownet: Learning optical flow with convolutional networks.

RoboScape: Physics-informed Embodied World Model Flownet: Learning optical flow with convolutional networks

Reference 35

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Observation 8b8ef04c-b948-4502-849b-0ab30aa44fde · outbound

This paper cites A survey on curriculum learning.IEEE transactions on pattern analysis and machine intelligence, 44(9):4555–4576, 2021.

RoboScape: Physics-informed Embodied World Model A survey on curriculum learning.IEEE transactions on pattern analysis and machine intelligence, 44(9):4555–4576, 2021

Reference 36

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Observation 33eeaa47-4a17-44c6-97c9-0afe8d5c81e5 · outbound

This paper cites Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation.

RoboScape: Physics-informed Embodied World Model Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation

Reference 37

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Observation cde2b557-8802-455a-aa35-641689226b4a · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

RoboScape: Physics-informed Embodied World Model AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 38

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Observation 3249801c-cb57-4687-a3c2-ead22e373d20 · outbound

This paper cites Genie: Generative interactive environments.

RoboScape: Physics-informed Embodied World Model Genie: Generative interactive environments

Reference 39

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Observation 166aaeeb-a43f-4eb5-a161-d577051e123d · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

RoboScape: Physics-informed Embodied World Model CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 40

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source=pdf_text observed=2026-08-06T21:56:10.485620Z digest=sha256:d00d343c86522b804ac2b7bdbd484ee9236ed453a71c5e078fe86ab95d8d7518

Observation c03deaa9-8c44-418d-b138-5a1ed326071e · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

RoboScape: Physics-informed Embodied World Model What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 41

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source=pdf_text observed=2026-08-06T21:56:10.544121Z digest=sha256:b3578557ead54dc9a4ec685991535be552751b04a8f2eb311c6ad30a84dcea4b

Observation 7e93b563-f507-42fa-925f-327650e791b3 · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning.

RoboScape: Physics-informed Embodied World Model Libero: Benchmarking knowledge transfer for lifelong robot learning

Reference 42

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source=pdf_text observed=2026-08-06T21:56:10.657866Z digest=sha256:41952d86028cea000cdcd36c74e4d5719c230504dbe6aee0f37d2144a6e25094

Observation bf57973f-f9cc-428e-bf4a-5702ea1abdf9 · outbound

This paper cites World Models.

RoboScape: Physics-informed Embodied World Model World Models

Reference 43

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source=pdf_text observed=2026-08-06T21:56:10.750879Z digest=sha256:49addb824631e4b1927c5acf0705c1466f0d17806f66a7ed2bbdbb510fee8c8d

Observation 4680ebf9-87d4-48c2-8b3c-8259a0c3acd7 · outbound

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

RoboScape: Physics-informed Embodied World Model Drive- dreamer: Towards real-world-drive world models for autonomous driving

Reference 44

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source=pdf_text observed=2026-08-06T21:56:10.853082Z digest=sha256:db7b87fe8aa14544965dcbab6cb6ea427e9b12bdce393db79471de25d69e26c2

Observation 9389d659-01db-47b2-9180-293db985965d · outbound

This paper cites Genad: Gen- erative end-to-end autonomous driving.

RoboScape: Physics-informed Embodied World Model Genad: Gen- erative end-to-end autonomous driving

Reference 45

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source=pdf_text observed=2026-08-06T21:56:10.978828Z digest=sha256:6759b77c6ce350c7cc86c15f46fa42d31c4400df1389ea5c427c65f0e22ff7eb

Observation 062e3e20-8ae8-4740-801f-1f3fb1c053ed · outbound

This paper cites GameGen-X: Interactive Open-world Game Video Generation.

RoboScape: Physics-informed Embodied World Model GameGen-X: Interactive Open-world Game Video Generation

Reference 46

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source=pdf_text observed=2026-08-06T21:56:11.097012Z digest=sha256:21d542fcd8996efbf22879282723b8cd66089b16e159f4b586beb65b98c0cee8

Observation aba15f34-34c5-412d-9c21-e1055e448667 · outbound

This paper cites MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction.

RoboScape: Physics-informed Embodied World Model MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction

Reference 47

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source=pdf_text observed=2026-08-06T21:56:11.257053Z digest=sha256:56e1909ee260e6feeb5be1b469bea076c2d1f2e1c0c9f09f3108f1f19b238ead

Observation 219f113c-544e-4e6e-b6a0-208840d454f5 · outbound

This paper cites Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving.

RoboScape: Physics-informed Embodied World Model Driving into the future: Multiview visual forecasting and planning with world model for autonomous driving

Reference 48

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source=pdf_text observed=2026-08-06T21:56:11.354123Z digest=sha256:50993103abc23be25953948ff40fe8255a175a60c787ab0dd556be88d2aac398

Observation 94446495-7dff-4001-bc02-c8d88d388072 · outbound

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

RoboScape: Physics-informed Embodied World Model Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Reference 49

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source=pdf_text observed=2026-08-06T21:56:11.450513Z digest=sha256:282bd09c35133b08830420d51403695c500bfe933d0f35a8405da028b608492d

Observation add09686-cef4-4127-9abd-0581207968e3 · outbound

This paper cites GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving.

RoboScape: Physics-informed Embodied World Model GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Reference 50

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source=pdf_text observed=2026-08-06T21:56:11.522836Z digest=sha256:3f39c201906a6cee8c2682262933de140b5fa74b5949d1eb4c65715013a4b6e8

Observation f118ccb3-4716-4904-95a7-ccbcbb9994b1 · outbound

This paper cites Learning robotic video dynamics with heterogeneous masked autoregression.

RoboScape: Physics-informed Embodied World Model Learning robotic video dynamics with heterogeneous masked autoregression

Reference 51

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T21:56:11.648173Z digest=sha256:e0b524a35367fc97da20602f5da216acd0d705076095e90e6681d86366c9271b

Observation fa01d825-8aaa-4e91-8e27-0529267464fc · outbound

This paper cites Gamefactory: Creating new games with generative interactive videos.

RoboScape: Physics-informed Embodied World Model Gamefactory: Creating new games with generative interactive videos

Reference 52

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source=pdf_text observed=2026-08-06T21:56:11.733771Z digest=sha256:f36a473c6cc33cbf38dbbde9ee9fe78512f2370b573d4bc6eae7ecb7e5b428e1

Observation 44bf1fbe-ec70-4b5e-9f81-f11d1edc7221 · outbound

This paper cites Pre-Trained Video Generative Models as World Simulators.

RoboScape: Physics-informed Embodied World Model Pre-Trained Video Generative Models as World Simulators

Reference 53

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source=pdf_text observed=2026-08-06T21:56:11.850755Z digest=sha256:2b3ba7f686016217089cc23c3b21b28df2de1c32091111be81562ff940f3539f

Observation 5abedf24-2e1e-4d5f-ac89-0cf3d423dc06 · outbound

This paper cites Worldmem: Long-term consistent world simulation with memory.

RoboScape: Physics-informed Embodied World Model Worldmem: Long-term consistent world simulation with memory

Reference 54

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source=pdf_text observed=2026-08-06T21:56:11.947234Z digest=sha256:ebc053a1fd22c617f0d7cda93ba041190037893b3b4ddc98cfd25ff2ad51fe68

Observation 99d9b239-e276-42e8-8525-9e4a5729cc4f · outbound

This paper cites Scalable diffusion models with transformers.

RoboScape: Physics-informed Embodied World Model Scalable diffusion models with transformers

Reference 55

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source=pdf_text observed=2026-08-06T21:56:12.072637Z digest=sha256:41d1b39b8c2a9d8a1a646552033124f507fb60cbc8085828f565a9e62ff1f4d1

Observation 966fd9c5-57ce-4322-b82d-302c9f40664e · outbound

This paper cites Seeing the future, perceiving the future: A uni- fied driving world model for future generation and perception.arXiv preprint arXiv:2503.13587, 2025.

RoboScape: Physics-informed Embodied World Model Seeing the future, perceiving the future: A uni- fied driving world model for future generation and perception.arXiv preprint arXiv:2503.13587, 2025

Reference 56

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source=pdf_text observed=2026-08-06T21:56:12.204432Z digest=sha256:5a43b2da58e9df5fbc2a543932edcdcb0f647201072cb17cee4118323601aef8

Pith citing papers

Observation 9c88a007-1a15-4057-ade8-dede4d9cbb6a · inbound

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

A Comprehensive Survey on World Models for Embodied AI RoboScape: Physics-informed Embodied World Model

Reference 180

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source=pdf_text observed=2026-08-04T09:12:50.540589Z digest=sha256:7be2eebbe30ca92d68f8753bfbc3d6203505b260bfe0d9a475fe8c7bc6d80a68

Observation 57637e3b-60f3-4d39-a542-0b88da57c286 · inbound

When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs cites this paper.

When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs RoboScape: Physics-informed Embodied World Model

Reference 44

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source=pdf_text observed=2026-08-02T22:14:29.363273Z digest=sha256:2f30605d25c6f29ccc19399ab9e70df9d75ec8b014158f58326e2f8ff79868b1

Observation f42f9a17-424f-4226-8e30-79d303f1653b · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models RoboScape: Physics-informed Embodied World Model

Reference 148

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arxiv_id, observed 2026-05-10T08:12:26.216061Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:4a694a3eff2b0de867a67e727443f59fb17de1f837283c2f8ec727a1dedefc1d

Observation d426032a-e27d-44ad-9cad-ff36a6bd7e82 · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey RoboScape: Physics-informed Embodied World Model

Reference 66

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arxiv_id, observed 2026-05-12T09:01:25.627188Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T13:16:44.508344Z digest=sha256:2ca2440a95f2c1e0894f6481d38780162ebe67e8bbcfa46cd9e2324afa2d3762

Observation e47e6e6a-f702-4b75-8771-51336da2d470 · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey RoboScape: Physics-informed Embodied World Model

Reference 66

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verified exact
arxiv_id, observed 2026-05-11T22:01:14.129353Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T03:31:05.311070Z digest=sha256:3db5559ee417cd11c118459909eaa763aa321646c60b314449d619d022d60309

Observation 1eaa3cbd-aa32-4ac2-8366-287f17431018 · inbound

3D Generation for Embodied AI and Robotic Simulation: A Survey cites this paper.

3D Generation for Embodied AI and Robotic Simulation: A Survey RoboScape: Physics-informed Embodied World Model

Reference 66

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arxiv_id, observed 2026-05-11T04:05:58.445921Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T01:56:24.510913Z digest=sha256:5089bc063487d598d2ac7e0727d4ee193c980ab1a409e27812610973b6d3cce3

Observation f2fad854-525a-4365-aa7c-85e6a9450b89 · inbound

LaWM: Least Action World Models for Long-Horizon Physical Consistency from Visual Observations cites this paper.

LaWM: Least Action World Models for Long-Horizon Physical Consistency from Visual Observations RoboScape: Physics-informed Embodied World Model

Reference 18

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arxiv_id, observed 2026-05-12T00:51:15.618859Z

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source=pdf_text observed=2026-05-12T00:49:47.283703Z digest=sha256:4f5cf446217fa336a438d4cdf086757b92c9da4ee68b0598d86e2711ca6d92cd

Observation a09438cd-c62c-42c2-b86e-b460a869c4f3 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI RoboScape: Physics-informed Embodied World Model

Reference 41

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arxiv_id, observed 2026-05-13T05:07:18.367935Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:57168b59ee9538f59800ce26ddce6224a891cfecfe2e9e98273c9ac04ec53ce4

Observation 6489af55-6b02-49aa-b278-02ec9e316297 · inbound

WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform cites this paper.

WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform RoboScape: Physics-informed Embodied World Model

Reference 20

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arxiv_id, observed 2026-05-20T11:03:13.655266Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T10:59:54.879907Z digest=sha256:5c5d4d615b293a7f4e4aad8535faa8fb6dd8de5c7899c2ea1e72438d63bde178

Observation da896781-fda5-4524-b0f7-815ccf9160ad · inbound

PH-Dreamer: A Physics-Driven World Model via Port-Hamiltonian Generative Dynamics cites this paper.

PH-Dreamer: A Physics-Driven World Model via Port-Hamiltonian Generative Dynamics RoboScape: Physics-informed Embodied World Model

Reference 29

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arxiv_id, observed 2026-05-20T12:28:16.642956Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T12:27:13.931203Z digest=sha256:06afc9e9b4a19f7c10b44b74937a282be56cd4e0f813de42df8506679254838b

Observation 79cc5bce-f565-448b-9c3d-acacc7555edd · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey RoboScape: Physics-informed Embodied World Model

Reference 139

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arxiv_id, observed 2026-07-04T04:09:35.075140Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 291c85bc-4e60-4dfb-9c64-43ad97278ae3 · inbound

PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation cites this paper.

PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation RoboScape: Physics-informed Embodied World Model

Reference 39

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verified exact
arxiv_id, observed 2026-06-29T20:03:56.944785Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T04:34:38.286863Z digest=sha256:0c719c55c17a511f5bca26d95362b48ebbf267669943ff69366a8ef60b0800ef

Observation 98c5f914-e528-439a-9b1d-6920cbb0c665 · inbound

3D Point World Models: Point Completion Enables More Accurate Dynamics Learning cites this paper.

3D Point World Models: Point Completion Enables More Accurate Dynamics Learning RoboScape: Physics-informed Embodied World Model

Reference 17

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arxiv_id, observed 2026-07-02T18:57:16.312504Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-02T18:49:21.268436Z digest=sha256:2b430ec4a597e41225273cbcbf532037a474ea163f4b600a61f2c93f9f3ec75d

Observation 9bcd3fec-a7ff-4f7c-b461-5a65f73a6867 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics RoboScape: Physics-informed Embodied World Model

Reference 20

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arxiv_id, observed 2026-07-02T11:26:53.598722Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-02T11:26:48.626947Z digest=sha256:6a80be562c1fb584703444202f70c0f085761427287e13633371aeec1b68a8e3

Observation 538961d0-f7ea-4f8e-a46e-f1815aa46964 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics RoboScape: Physics-informed Embodied World Model

Reference 20

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arxiv_id, observed 2026-07-03T20:38:55.071831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 67fe7133-97a8-4a3c-8f59-4de49a24ec89 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics RoboScape: Physics-informed Embodied World Model

Reference 20

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no resolver link, observed 2026-07-12T09:15:00.615740Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:15:00.615740Z digest=sha256:427e805cd7c1b012da7ef62e331f9b343b3c4d796b3a704481d7c13b3bcae5f2

Observation 34389e60-3875-4b15-816b-0f6f6a8ee6d4 · inbound

From World Models to World Action Models: A Concise Tutorial for Robotics cites this paper.

From World Models to World Action Models: A Concise Tutorial for Robotics RoboScape: Physics-informed Embodied World Model

Reference 20

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source=pdf_text observed=2026-08-02T09:18:02.223470Z digest=sha256:6e4970f41f45d58896d5e84fc27996819b4cb641aea3df0141e397c03326e6bc

Observation 9e8b2bec-ac95-462d-9078-5c635d984bb0 · inbound

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives cites this paper.

PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives RoboScape: Physics-informed Embodied World Model

Reference 10

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