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Paper Citation Record · LEDGER

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2507.00917.

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

pith.paper-citation-record.v1
2507.00917 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:32:04.084465Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T13:14:53.255674Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4ade6fc4-4ee5-4d0a-9052-c014f71b5246 · inbound

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI cites this paper.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 64

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arxiv_id, observed 2026-05-18T10:01:14.085437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T09:56:36.716680Z digest=sha256:65f3708b656ef2c3ce8f7339a2ec1889626a719169867b703c383c73ef654e6c

Observation ac6a3000-994e-48ad-a416-f3e6d447c620 · inbound

Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? cites this paper.

Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets? A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 22

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arxiv_id, observed 2026-05-17T20:02:04.230977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 55c60386-2765-4b86-90e7-f31b1c1380fa · inbound

ToG-Bench: Task-Oriented Spatio-Temporal Grounding in Egocentric Videos cites this paper.

ToG-Bench: Task-Oriented Spatio-Temporal Grounding in Egocentric Videos A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 23

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arxiv_id, observed 2026-05-17T02:51:28.002124Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T02:50:17.955287Z digest=sha256:1db3638aa8dcd8ef52c75175a658bc22dfb54667a3069812abc6ee37e256ba71

Observation c203b8be-e100-4017-8b35-2b591e340ad6 · inbound

Advancing Open-source World Models cites this paper.

Advancing Open-source World Models A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 41

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arxiv_id, observed 2026-05-16T09:07:01.081375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T09:07:00.904794Z digest=sha256:2d8f51b1f03143b479d11f1b3467ce014a3bf3f7bdae7c7946deecb387d406e3

Observation 3ce26333-21db-476c-ab7a-baa797fe5882 · inbound

RU4D-SLAM: Reweighting Uncertainty in Gaussian Splatting SLAM for 4D Scene Reconstruction cites this paper.

RU4D-SLAM: Reweighting Uncertainty in Gaussian Splatting SLAM for 4D Scene Reconstruction A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 30

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unresolved
no resolver link, observed 2026-08-02T21:18:21.689086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:18:21.689086Z digest=sha256:3c62fb58504038671b4bf4d5ae714abdee13a104289e3bcdb9189ca8cb81b5b9

Observation 3e693d99-fb49-423e-b20a-2974f363e1b4 · inbound

WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems cites this paper.

WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 26

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arxiv_id, observed 2026-05-21T11:44:09.362291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T11:40:28.002606Z digest=sha256:c8a9f09715cf9ee50225ac9146eb254fdce60b2a2867f00e617392e793e4c4de

Observation b86160d3-8517-482d-a201-6f80b8f6afcc · inbound

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models cites this paper.

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 91

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arxiv_id, observed 2026-05-10T22:45:49.109791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:36:42.100191Z digest=sha256:0d4c785174bdf64ebe59bd4c0dc115782bf7a1cf68a1fef0b87e85f07a202ce1

Observation 1190f747-45c9-48f5-b667-f33ff7c7d85e · inbound

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models cites this paper.

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 91

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unresolved
no resolver link, observed 2026-07-13T09:42:23.808691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:42:23.808691Z digest=sha256:9007149a220a8e62e34979d036342fe5768b882e319b738563a8c2180f44c86b

Observation 3b619996-cb68-4052-b2bf-44997997cf3b · inbound

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles cites this paper.

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 12

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arxiv_id, observed 2026-05-10T23:40:54.041698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:55:30.816224Z digest=sha256:36c020d9ad16a270465b0e472d372421079ed1295374e59d06d1f24b15c01f3c

Observation 38255993-d25f-4573-b575-c56c357c1cc0 · inbound

PhyMix: Towards Physically Consistent Single-Image 3D Indoor Scene Generation with Implicit--Explicit Optimization cites this paper.

PhyMix: Towards Physically Consistent Single-Image 3D Indoor Scene Generation with Implicit--Explicit Optimization A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 23

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verified exact
arxiv_id, observed 2026-05-11T09:50:58.238197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:49:55.281436Z digest=sha256:b73cb1ce325cf9bee89779975dfad771931cf1d38126fbae82fb39b6efa48168

Observation 87512676-4e39-4a56-ba39-3e3936ddb703 · inbound

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

Human Cognition in Machines: A Unified Perspective of World Models A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 113

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arxiv_id, observed 2026-05-10T08:12:25.873723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:f10ad449b661cede60f83bc8bb5fd9d96155266d5d2198eed4c2bb182154e207

Observation 16e0f10e-693d-4f69-b6a0-f819c4b653ba · inbound

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

3D Generation for Embodied AI and Robotic Simulation: A Survey A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 2

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verified exact
arxiv_id, observed 2026-05-12T09:01:25.481935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T13:16:44.508344Z digest=sha256:81f2f663c01162cf432e806e3f2ad63dec9a91090af323e90ed2d6ece9865dad

Observation b1f999e1-2ec9-4edb-90ff-39e09691fbcd · inbound

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

3D Generation for Embodied AI and Robotic Simulation: A Survey A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 2

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verified exact
arxiv_id, observed 2026-05-11T22:06:13.108283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T03:31:05.311070Z digest=sha256:a1741ee37b451374e1f51a0ad22e606593c7203969c1ee238efce25a2bfcc0e7

Observation 289a96b4-1509-4896-9640-47e815a02b4d · inbound

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

3D Generation for Embodied AI and Robotic Simulation: A Survey A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 2

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verified exact
arxiv_id, observed 2026-05-11T04:05:58.646057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T01:56:24.510913Z digest=sha256:d56f513e8d5c4a96e0c219858a90de776a5599b063a9906f2849f4d4ac56d226

Observation 37dd6339-bf55-4ec2-a1fd-d7a8575b33a4 · inbound

GEM: Generating LiDAR World Model via Deformable Mamba cites this paper.

GEM: Generating LiDAR World Model via Deformable Mamba A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 24

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verified exact
arxiv_id, observed 2026-05-11T01:45:51.313105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T01:31:09.604703Z digest=sha256:043bd045bfe00c46defc88dad13340f93c6ed4e4cffa665488e3acb834d97825

Observation b1e668eb-eaf3-4460-bdfc-95ef9b91983c · 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 A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 3

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arxiv_id, observed 2026-05-20T11:03:13.682453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T10:59:54.879907Z digest=sha256:762d2b7b3c84b51b015c5ef984b58ffb4a4843b1018a9de08234b879763f1065

Observation a340c223-4457-43c5-a39f-e3988046924e · inbound

WorldString: Actionable World Representation cites this paper.

WorldString: Actionable World Representation A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 35

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arxiv_id, observed 2026-05-20T09:48:11.336345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T09:47:08.828067Z digest=sha256:dc58696d0158d6434483062c9b558738f378d23a3c80ee620d496f930c27f424

Observation 333260eb-88c3-4acd-b0a2-58786f6073db · inbound

WorldString: Actionable World Representation cites this paper.

WorldString: Actionable World Representation A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 35

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arxiv_id, observed 2026-05-21T07:49:50.039860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T07:47:37.283455Z digest=sha256:adbefcc8df86b165d6acedd5e4c32bdc7b01b69b06b2d68ae6cc23c3d20a8770

Observation dace664c-aa55-47b6-b0a2-dd75fa405e78 · inbound

PhyWorld: Physics-Faithful World Model for Video Generation cites this paper.

PhyWorld: Physics-Faithful World Model for Video Generation A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 10

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arxiv_id, observed 2026-05-20T07:33:07.610198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T07:28:20.248452Z digest=sha256:8c6779de16df2c0746ef1ecdf595d9401222abac111c415b30ebd97354cadc5e

Observation 32f4407a-c8d6-4b2d-a7b8-f7486d5de9d1 · inbound

NVIDIA Isaac Sim: Enabling Scalable, GPU-Accelerated Simulation for Robotics cites this paper.

NVIDIA Isaac Sim: Enabling Scalable, GPU-Accelerated Simulation for Robotics A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 32

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verified exact
arxiv_id, observed 2026-07-02T03:26:29.312301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T10:03:54.419845Z digest=sha256:ffa7efac5cd10ca77a9841926b33f65aaa5679e41c65a942c03c800db1615335

Observation 05324041-c7d2-4957-9383-5c8524e82b6c · inbound

Echo-Memory: A Controlled Study of Memory in Action World Models cites this paper.

Echo-Memory: A Controlled Study of Memory in Action World Models A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 36

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arxiv_id, observed 2026-07-03T00:57:29.741283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T16:58:37.552036Z digest=sha256:fd01d038663c6f3081abf07bfbda7adcb5be0bd1cdf4b9810d3ddbe898591488

Observation 218cd74d-0a6a-4bbe-b03e-c13c914b6c1e · inbound

Empowering Embodied AI in 6G Networks: Architecture, Enablers, and Open Challenges cites this paper.

Empowering Embodied AI in 6G Networks: Architecture, Enablers, and Open Challenges A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 10

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verified exact
arxiv_id, observed 2026-06-30T19:45:00.748322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T19:42:35.149663Z digest=sha256:96a9db27a3e83659d97f547d1e9691d2b8892ad68632a4eee324793e4f5f6f59

Observation 8239fc9d-9f77-4870-a8a7-c19cedee53b9 · inbound

MoWorld: A Flash World Model cites this paper.

MoWorld: A Flash World Model A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 37

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local_arxiv, observed 2026-07-08T13:14:53.257007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-08T13:10:31.940263Z digest=sha256:6f3d5ef2d77c30914f9c7e4e4080ddfc178010010989e2d7be9fa2a50659d453

Observation 8a4cd1a6-e2fa-480d-b34c-1f3cdc5291b8 · inbound

MoWorld: A Flash World Model cites this paper.

MoWorld: A Flash World Model A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 37

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no resolver link, observed 2026-08-04T04:32:04.084465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:32:04.084465Z digest=sha256:b93013cea293265bd756c124dad50b1fbd4e4facfa603a45c6723e5864275f84

Observation ca8f010c-7c01-4108-b8b2-330e2babfa19 · inbound

Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model cites this paper.

Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 36

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unresolved
no resolver link, observed 2026-07-14T04:10:14.360463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T04:10:14.360463Z digest=sha256:30a7958aa381fa01ebb0fe767afcb764da6ce2b9392ff6478ea7d272f9de4e33

Observation 25c096fd-1a4d-4766-864f-71c26351fea6 · inbound

Physical AI Governance: From Theory to Practice Across Life Cycle cites this paper.

Physical AI Governance: From Theory to Practice Across Life Cycle A Survey: Learning Embodied Intelligence from Physical Simulators and World Models

Reference 105

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no resolver link, observed 2026-08-01T04:17:53.715165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:17:53.715165Z digest=sha256:392ad77bfe6fc1403ed887ca4fe6ae8fabc7cb772a722a4f03fc437c26421510