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Paper Citation Record · LEDGER

WorldModelBench: Judging Video Generation Models As World Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 51 inbound Pith citation observations for arXiv:2502.20694.

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

pith.paper-citation-record.v1
2502.20694 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 51 of 51 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:13.168622Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8582178a-e30f-438b-b870-476496e7a2e8 · inbound

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges cites this paper.

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges WorldModelBench: Judging Video Generation Models As World Models

Reference 120

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no resolver link, observed 2026-08-10T22:17:23.257590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:23.257590Z digest=sha256:9b8b797e868ce2a188f598c5e73a2495250d9905db5dd18dc4509bc8acac13e9

Observation d4aa7632-9d6e-4c2a-b23b-c2fca0558398 · inbound

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models cites this paper.

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models WorldModelBench: Judging Video Generation Models As World Models

Reference 241

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no resolver link, observed 2026-08-15T23:21:13.168622Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T23:21:13.168622Z digest=sha256:483711724021cb04188f6dabca4ae0c961a8bb4699012153a6d8366b12e3a006

Observation ec371c4f-3e6f-46de-9a56-ac530f040d3a · inbound

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning cites this paper.

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning WorldModelBench: Judging Video Generation Models As World Models

Reference 12

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no resolver link, observed 2026-08-07T10:50:50.927174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:50.927174Z digest=sha256:35f0107161d2eee29d5377ce94b294bc7e16ca746c9ed30eaca5db2f8030dd13

Observation 2bf2fd3b-c7b2-448f-b47f-37f961e3d7f8 · inbound

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning cites this paper.

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning WorldModelBench: Judging Video Generation Models As World Models

Reference 25

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no resolver link, observed 2026-08-07T04:29:37.277478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:37.277478Z digest=sha256:61ec6b83ad8bd6c8c63225809321d2981d54820a68db3c824e6ec57992e272d3

Observation 944ebd82-9e66-4707-8ce6-2fd22fdaa43f · inbound

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation cites this paper.

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation WorldModelBench: Judging Video Generation Models As World Models

Reference 42

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no resolver link, observed 2026-08-05T20:20:22.262308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:20:22.262308Z digest=sha256:30edb262d7d06be7d0e17f655a16a90c637d90b1046dc9e7975f2860bf2537f2

Observation e8fcdfc0-7560-45a6-a002-a4381ebaf0ef · inbound

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms cites this paper.

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms WorldModelBench: Judging Video Generation Models As World Models

Reference 42

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no resolver link, observed 2026-08-05T20:17:47.141150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:17:47.141150Z digest=sha256:8947d7261e51764ae13a471ec4bfef7116ac4c0758b68e391e8719a8604d1f57

Observation 180cd06c-a8f6-4046-9153-797675ead372 · inbound

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

3D and 4D World Modeling: A Survey WorldModelBench: Judging Video Generation Models As World Models

Reference 127

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no resolver link, observed 2026-08-05T06:04:21.465505Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T06:04:21.465505Z digest=sha256:297411283644b31d604d83c1a02c252ab54df2d798b96754eb818dd0416dc84e

Observation c8e6deac-49eb-4d1a-a094-cbf60413a9e1 · inbound

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios cites this paper.

SWITCH: Benchmarking Modeling and Handling of Tangible Interfaces in Long-horizon Embodied Scenarios WorldModelBench: Judging Video Generation Models As World Models

Reference 13

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no resolver link, observed 2026-08-03T21:14:10.185502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:14:10.185502Z digest=sha256:fe5c67384d89e30706244cfca29ea427e42808e4124a3ad242c889df3e8b2782

Observation f984ec2a-c375-422a-8221-dcdd0497b531 · 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? WorldModelBench: Judging Video Generation Models As World Models

Reference 20

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arxiv_id, observed 2026-05-17T20:02:04.206212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-17T20:00:20.895672Z digest=sha256:dd95fc075993f6f54b39b26827e6354202e333a556b42672493ee8e10456d4ce

Observation 5fbfc11a-8577-4dac-b456-89db9a77ee33 · inbound

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models cites this paper.

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models WorldModelBench: Judging Video Generation Models As World Models

Reference 27

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arxiv_id, observed 2026-05-17T05:59:08.696912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-17T05:55:11.495430Z digest=sha256:0591b4d2df0a2cd49ab6efcc32e5f58a50391d7e11a1f955f98926a4a8c45556

Observation f2fa1979-3533-4c06-813f-37997faec7ce · inbound

RISE: Self-Improving Robot Policy with Compositional World Model cites this paper.

RISE: Self-Improving Robot Policy with Compositional World Model WorldModelBench: Judging Video Generation Models As World Models

Reference 55

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arxiv_id, observed 2026-05-16T02:30:31.944977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T02:28:37.997148Z digest=sha256:d32471faef210e2a5465934e88b6590df1aeaccd5321f331604245dba92ac68e

Observation 9f76df2b-a87f-4238-88b7-d178107b1223 · inbound

VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction cites this paper.

VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction WorldModelBench: Judging Video Generation Models As World Models

Reference 26

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verified exact
arxiv_id, observed 2026-05-22T11:11:27.584968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-22T11:06:38.102348Z digest=sha256:28b36aa8b4c31686c614e6307c2f02433ab2e1778978f4b3d10fffec2d86d314

Observation 6a3d8dea-f7d5-49e4-bf1d-06603dc1b8ae · inbound

PhysInOne: Visual Physics Learning and Reasoning in One Suite cites this paper.

PhysInOne: Visual Physics Learning and Reasoning in One Suite WorldModelBench: Judging Video Generation Models As World Models

Reference 51

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arxiv_id, observed 2026-05-11T08:25:59.581273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T16:39:48.066744Z digest=sha256:2c8fa15d63192e67d29e3f2c6221a9b93bd4855cf10340a6d44584767966f9ca

Observation 91b6ec07-c89a-4453-9f80-c271bffcc1b3 · inbound

AnimationBench: Are Video Models Good at Character-Centric Animation? cites this paper.

AnimationBench: Are Video Models Good at Character-Centric Animation? WorldModelBench: Judging Video Generation Models As World Models

Reference 9

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verified exact
arxiv_id, observed 2026-05-10T11:50:20.338576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T11:47:27.131584Z digest=sha256:cff924c7cb1aa3e5e2acd301bfe9e22a5732a2e8d82f44692ed707fa0a037129

Observation bd6991d7-6f43-4ee9-a745-a2fc4cdca1ec · inbound

Long-CODE: Isolating Pure Long-Context as an Orthogonal Dimension in Video Evaluation cites this paper.

Long-CODE: Isolating Pure Long-Context as an Orthogonal Dimension in Video Evaluation WorldModelBench: Judging Video Generation Models As World Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-10T05:56:10.902724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T05:55:51.789570Z digest=sha256:f6d8738baf274a5c2bb6ac4c604d74b2bae9b95aac62e131498240c68f4fb72b

Observation d9e377e6-6e7a-4c6f-bbe2-8a3dc9d1ff5a · inbound

RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation cites this paper.

RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation WorldModelBench: Judging Video Generation Models As World Models

Reference 29

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arxiv_id, observed 2026-05-10T03:03:37.502524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cc42b86b-98f3-42a4-aca8-11c749bf6256 · inbound

RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation cites this paper.

RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation WorldModelBench: Judging Video Generation Models As World Models

Reference 29

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arxiv_id, observed 2026-05-15T06:19:50.139087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T06:15:32.881140Z digest=sha256:92d77e246b581bcd0e144a29ddc6daa79cae12991ca93fe5c50ecdab0defe259

Observation 63a8ccb8-5097-4789-9162-fcb781ae087a · inbound

Resilience Revisited: A Multidimensional Framework Derived from Realistic Attack Scenarios cites this paper.

Resilience Revisited: A Multidimensional Framework Derived from Realistic Attack Scenarios WorldModelBench: Judging Video Generation Models As World Models

Reference 13

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unresolved
no resolver link, observed 2026-07-12T18:37:45.495075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T18:37:45.495075Z digest=sha256:a01aa2a75f2c5da93164495a204df65d3f0d10c24dffd92931bbb490b6e0a058

Observation 6ae6dbb8-313b-4e3c-9330-d6bdd0a471cc · inbound

WorldMark: A Unified Benchmark Suite for Interactive Video World Models cites this paper.

WorldMark: A Unified Benchmark Suite for Interactive Video World Models WorldModelBench: Judging Video Generation Models As World Models

Reference 22

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arxiv_id, observed 2026-05-11T14:21:07.723930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-09T21:55:41.553840Z digest=sha256:478c1f76610a0a07db53d56c5945b05608c99980436a6cbba99af3da926b89f1

Observation 3ae507ab-e24f-49c2-8add-24080f5c5abe · inbound

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

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond WorldModelBench: Judging Video Generation Models As World Models

Reference 219

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arxiv_id, observed 2026-05-11T19:26:07.928326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-08T12:02:07.027775Z digest=sha256:01b6f230d4b04b2f71247876839edbde34016adb70d573b32a7d2537839b45ab

Observation dab241e7-2fa9-4c93-8ae2-a6f16b71d358 · inbound

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

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond WorldModelBench: Judging Video Generation Models As World Models

Reference 219

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arxiv_id, observed 2026-07-04T17:29:59.530408Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-07-04T17:29:43.764085Z digest=sha256:00dea0f57244999624d4b0670ebd7499208194d096cb3b82484b5f3265452b17

Observation 30fb5a22-d351-45e3-a7c6-59d06a82934d · inbound

From Priors to Perception: Grounding Video-LLMs in Physical Reality cites this paper.

From Priors to Perception: Grounding Video-LLMs in Physical Reality WorldModelBench: Judging Video Generation Models As World Models

Reference 18

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arxiv_id, observed 2026-05-11T17:21:08.244631Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T17:41:23.233366Z digest=sha256:27757d4280ce5c9f073f160fb9eb1ec027cbd0bd29b59f9598de00e40d0d6e55

Observation 1e896341-996e-4c94-8a15-38b4b0eadf65 · inbound

PhyGround: Benchmarking Physical Reasoning in Generative World Models cites this paper.

PhyGround: Benchmarking Physical Reasoning in Generative World Models WorldModelBench: Judging Video Generation Models As World Models

Reference 22

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arxiv_id, observed 2026-05-12T05:21:28.258267Z

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source=pdf_text observed=2026-05-12T05:17:30.010064Z digest=sha256:85167eccfdf8468ffe7067cd65c16dff97822971ce449801fba88594dbaaf256

Observation 4aa04a14-9539-4b1f-9fac-64ed5dd5e4a4 · inbound

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

World Action Models: The Next Frontier in Embodied AI WorldModelBench: Judging Video Generation Models As World Models

Reference 215

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arxiv_id, observed 2026-05-13T05:07:17.882972Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T05:01:16.802019Z digest=sha256:a5e347dcc27656fa2e20968b730a60e3c44f3ae7d52e96c94d769bab40e2f4c5

Observation 02e6cecf-68b9-47c3-8d70-7924e4915721 · inbound

MechVerse: Evaluating Physical Motion Consistency in Video Generation Models cites this paper.

MechVerse: Evaluating Physical Motion Consistency in Video Generation Models WorldModelBench: Judging Video Generation Models As World Models

Reference 20

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arxiv_id, observed 2026-07-01T14:25:46.354770Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T21:37:15.414734Z digest=sha256:17f3625e7222d7f33c3f41c0cc887487ebbcc12ba74dc486a549cbc5404c4b12

Observation 53327191-e6a0-4e5f-a5e5-e2102c3889b8 · inbound

Quantitative Video World Model Evaluation for Geometric-Consistency cites this paper.

Quantitative Video World Model Evaluation for Geometric-Consistency WorldModelBench: Judging Video Generation Models As World Models

Reference 17

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arxiv_id, observed 2026-05-15T03:14:53.131038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T03:11:03.060052Z digest=sha256:8906bbf40b0a8a14075529772801282ce430b6cfcfda6238f8a38c1af2fa402b

Observation 8c926e6f-eb34-4b33-8fc2-42d6bb1be561 · 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 WorldModelBench: Judging Video Generation Models As World Models

Reference 4

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arxiv_id, observed 2026-05-20T11:03:13.588255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T10:59:54.879907Z digest=sha256:d95780f98914416dc92ba700e50615f705498ce9083d984c7c165ce9c925584d

Observation 0a2e3f03-c26b-4e87-80a9-c43cf7e7d9fb · inbound

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

PhyWorld: Physics-Faithful World Model for Video Generation WorldModelBench: Judging Video Generation Models As World Models

Reference 53

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arxiv_id, observed 2026-05-20T07:33:07.576004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T07:28:20.248452Z digest=sha256:cc1e097644ce5ea62bb5142435be7892063ad9a9a68e5b78c447f08ed84cf731

Observation 35a0b7b1-2348-464e-b327-9cf54364d8d8 · inbound

CRONOS: Benchmarking Counterfactual Physical Consistency in Video Models cites this paper.

CRONOS: Benchmarking Counterfactual Physical Consistency in Video Models WorldModelBench: Judging Video Generation Models As World Models

Reference 32

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arxiv_id, observed 2026-05-25T04:40:23.124991Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-25T04:39:22.400458Z digest=sha256:eca2ab471751292f9b3c3e066cecd4bc2e1fcf76a2f54e2ad2baa0f1bb0fcf1b

Observation 9127c349-21bc-4059-982c-1d8b97a8cf0c · inbound

WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation cites this paper.

WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation WorldModelBench: Judging Video Generation Models As World Models

Reference 50

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arxiv_id, observed 2026-06-29T23:14:02.233110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T22:57:08.381846Z digest=sha256:aec99d82fa3a9f2ed792cdf15cb1760b3b7653aa86020e42fbfabb531007f23d

Observation c95dfd25-f6ac-4c47-9198-e9458392e99a · inbound

What-If World: A Causal Benchmark for General World Models in Embodied Scenarios cites this paper.

What-If World: A Causal Benchmark for General World Models in Embodied Scenarios WorldModelBench: Judging Video Generation Models As World Models

Reference 36

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arxiv_id, observed 2026-06-29T18:23:50.390311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T18:23:22.987086Z digest=sha256:76815e7d71b43809ff1572c1cb625ccd60582bda57abc825c36594e00e6c1cda

Observation 9a0bc89e-26c2-408d-9117-8fa3e34ac366 · inbound

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models cites this paper.

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models WorldModelBench: Judging Video Generation Models As World Models

Reference 24

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arxiv_id, observed 2026-06-29T07:53:13.840251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T07:46:28.469913Z digest=sha256:e731555d0bdb803c7c882549cb286dabcb643c4939f6fbbbeef21cfaac201156

Observation 451d3f56-0ced-48eb-8247-7a1b1d1a4be6 · inbound

YoCausal: How Far is Video Generation from World Model? A Causality Perspective cites this paper.

YoCausal: How Far is Video Generation from World Model? A Causality Perspective WorldModelBench: Judging Video Generation Models As World Models

Reference 68

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arxiv_id, observed 2026-06-29T08:33:15.524747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T08:27:03.674229Z digest=sha256:41dd35f7c57bad9f39d733054d4902232432a91b28fcd7630247d9a1db37a16b

Observation c780c3ee-e856-491d-a579-0b1aa5b91ff0 · inbound

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation cites this paper.

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation WorldModelBench: Judging Video Generation Models As World Models

Reference 19

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metadata mismatch
arxiv_id, observed 2026-06-28T23:12:46.577767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f44f30f0-6df2-4f83-84e5-e77ae03ffc8e · inbound

WorldOlympiad: Can Your World Model Survive a Triathlon? cites this paper.

WorldOlympiad: Can Your World Model Survive a Triathlon? WorldModelBench: Judging Video Generation Models As World Models

Reference 18

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metadata mismatch
arxiv_id, observed 2026-07-03T05:47:41.328949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T13:05:26.397711Z digest=sha256:a00d72375f3b144fe53e0e16a1ecfc79795459c955bfa40b8174dbbb2b4ffbd1

Observation fc24aeb3-2d20-42f8-9228-9b43e5e12069 · inbound

How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position cites this paper.

How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position WorldModelBench: Judging Video Generation Models As World Models

Reference 36

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verified exact
arxiv_id, observed 2026-06-30T10:34:36.503648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 86edc60e-bfc1-4259-973b-cbb13cde279d · inbound

Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI cites this paper.

Kairos: A Regret-Aware Native World-Action Model Stack for Physical AI WorldModelBench: Judging Video Generation Models As World Models

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:28:44.912162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T04:02:53.110012Z digest=sha256:54d33621828db6314acf40ca05e1be0eaa608022399d79c8e70441c5168b6eb5

Observation 39c96cea-fe11-4a8e-946b-165f66900da8 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments WorldModelBench: Judging Video Generation Models As World Models

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T18:25:57.830135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T02:03:45.564122Z digest=sha256:bc0e4366bd367939feb7cebd1462d7ec188d3ea4942b633ea7b318a80527b671

Observation e280b051-db88-4482-a7b9-f479689d6a67 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments WorldModelBench: Judging Video Generation Models As World Models

Reference 31

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metadata mismatch
arxiv_id, observed 2026-07-01T09:35:40.634198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-01T06:25:58.872140Z digest=sha256:bd974d859c740160ea4045243093ca904e8ebfc085c20333ce129f767344ccbe

Observation 7769b96f-e95f-4d12-8b6a-31fedef86c3b · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments WorldModelBench: Judging Video Generation Models As World Models

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:57:22.736955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-02T20:52:28.444524Z digest=sha256:f64b27c1c955342e080db12850187f2529ac5434f1068fcbd9583467da9dc5d4

Observation 1a292d52-144d-4227-ad0a-d7f5d4898e45 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments WorldModelBench: Judging Video Generation Models As World Models

Reference 31

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metadata mismatch
arxiv_id, observed 2026-07-03T22:49:00.931895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-03T22:44:16.272541Z digest=sha256:84c4e747cabe352aabf95549d0fe0752850388db37b8e8a468f7c483fc52b335

Observation ac590338-dd26-48de-950f-b77bc3764f87 · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments WorldModelBench: Judging Video Generation Models As World Models

Reference 31

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unresolved
no resolver link, observed 2026-07-14T17:14:19.770867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T17:14:19.770867Z digest=sha256:9ce681e66a567e7aeead014aee21d701f26824db2b3b4600f43c213478b1f564

Observation c3c04ef2-6f85-442c-bd41-4993b6e5f7ee · inbound

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments cites this paper.

MemoBench: Benchmarking World Modeling in Dynamically Changing Environments WorldModelBench: Judging Video Generation Models As World Models

Reference 31

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unresolved
no resolver link, observed 2026-08-02T10:00:11.400813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:00:11.400813Z digest=sha256:4cf56f2147ba5b4a9ff5ad16041ff6ca2fbdf37b329e566819ea89c2ee8c99c3

Observation 1c65f3b3-eb29-4b51-bf2e-c7b678035797 · inbound

Multiplayer Interactive World Models with Representation Autoencoders cites this paper.

Multiplayer Interactive World Models with Representation Autoencoders WorldModelBench: Judging Video Generation Models As World Models

Reference 238

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metadata mismatch
local_arxiv, observed 2026-07-07T15:43:53.791744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-07-07T15:38:36.897705Z digest=sha256:dbd27ef3344872bb2289bc36716068ec3e9af6490d308f9ffeb2c84afb6930c5

Observation b88ae91d-3240-417a-a958-e673aa7b4119 · inbound

Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models cites this paper.

Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models WorldModelBench: Judging Video Generation Models As World Models

Reference 38

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malformed identifier
no resolver link, observed 2026-07-11T07:04:37.865482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T07:04:37.865482Z digest=sha256:d277ccc64aa2379fbe7813b1621a6ddd02f80427e36ac1f5d312d06a7f0af3b7

Observation a0bc6cb8-a501-4aaa-bb8d-15a45c7b1f63 · inbound

A Definition and Roadmap for World Models cites this paper.

A Definition and Roadmap for World Models WorldModelBench: Judging Video Generation Models As World Models

Reference 230

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verified exact
local_arxiv, observed 2026-07-08T07:14:44.341177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-07-08T07:10:33.826140Z digest=sha256:6e38738b4229581dd1a0e9c71ff883cf15b5b3fad3d69c17ac74c1ecc7b1016b

Observation 0f69b0c6-e031-41be-8e29-724e892e24aa · inbound

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence cites this paper.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence WorldModelBench: Judging Video Generation Models As World Models

Reference 140

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unresolved
no resolver link, observed 2026-07-14T03:51:24.547781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:181bc4ddc68280b5980fb696cb3d94d5c82b803900ca7a74249aea8fdbd23e6a

Observation 8b8942e1-fa94-4c4b-9788-3102b0d33df9 · inbound

Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence cites this paper.

Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence WorldModelBench: Judging Video Generation Models As World Models

Reference 35

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unresolved
no resolver link, observed 2026-08-01T21:07:26.260253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:07:26.260253Z digest=sha256:5e68e0ec6a5bf0532522882dfc5575bf110fdeb7cd9f8b55c9bbe4bc9e42fb3d

Observation 0d2930ed-a30b-4226-b47d-140d99947d5f · inbound

Spatial-IQ: Deconstructing Spatial Intelligence via Hierarchical Capability Tests cites this paper.

Spatial-IQ: Deconstructing Spatial Intelligence via Hierarchical Capability Tests WorldModelBench: Judging Video Generation Models As World Models

Reference 21

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unresolved
no resolver link, observed 2026-08-15T15:32:27.446884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:32:27.446884Z digest=sha256:27187acbe5ff222aa9cc5bdce946a9a372fe82d01f34e55c088abf89f1f4e1da

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

Quo Vadis, World Modeling? cites this paper.

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

Reference 91

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unresolved
no resolver link, observed 2026-08-07T00:14:02.723079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:14:02.723079Z digest=sha256:7b865fac0e22e5ade361830a87a43f6c85676d3ace0296b14e965246007472e8

Observation 156b59e2-2784-42b2-a309-02c81c1a42c8 · inbound

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains cites this paper.

Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains WorldModelBench: Judging Video Generation Models As World Models

Reference 8

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unresolved
no resolver link, observed 2026-08-11T05:13:22.334567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:13:22.334567Z digest=sha256:4f78c59b1a40b5dd6dfae48bb45d52d505462ba91d792debfa47ec18a93576c7