Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T11:18:58.558989Z
Paper Citation Record · LEDGER
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models
As of 7 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2606.28757.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
73 of 73 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved73
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b8cc7f9b-8240-4a9c-aa99-d77664baa217 · outbound
This paper cites an unresolved cited work.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Unresolved cited work
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa91352e-fa65-441f-99e3-30e9b7ded229 · outbound
This paper cites DOT HS810(767), 4 (2007).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models DOT HS810(767), 4 (2007)
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 290ee11e-8b8a-4044-af20-4fafdf96f259 · outbound
This paper cites Cosmos World Foundation Model Platform for Physical AI.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Cosmos World Foundation Model Platform for Physical AI
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e8113f3-c0a8-4d35-84c9-02437cb58df1 · outbound
This paper cites In: Asian Conference on Computer Vision.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Asian Conference on Computer Vision
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 119c4c16-7250-4bb5-88a2-69181f8efa73 · outbound
This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models VideoPhy: Evaluating Physical Commonsense for Video Generation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aed8d22d-0c24-4935-8cfd-e0df65db47e7 · outbound
This paper cites In: Proceedings of the 28th ACM International Conference on Multimedia.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the 28th ACM International Conference on Multimedia
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
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Unavailable: canonical work link unavailable.
Observation 968f1d9a-c2fb-464e-8a5e-d09f6e86b91c · outbound
This paper cites an unresolved cited work.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
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Unavailable: canonical work link unavailable.
Observation 5e8f8867-4f0d-4b9c-a43d-00486741ebe3 · outbound
This paper cites In: Asian conference on computer vision.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Asian conference on computer vision
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9371a590-e71f-4544-9444-b5688123beeb · outbound
This paper cites Cornell University (1997).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Cornell University (1997)
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06fcc3da-c53d-4e4e-9a77-910075319d1c · outbound
This paper cites SkyReels-V2: Infinite-length Film Generative Model.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models SkyReels-V2: Infinite-length Film Generative Model
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c280745-7710-4ac6-9b0c-5b91f7152f58 · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0ff845c-9ad1-4f90-a9d4-0fc22031ca48 · outbound
This paper cites Can Test-Time Scaling Improve World Foundation Model?.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Can Test-Time Scaling Improve World Foundation Model?
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb5798ff-d746-4432-8daf-4d23040c8230 · outbound
This paper cites In: Conference on robot learning.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Conference on robot learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53072988-4242-4c24-b02a-6f7b372e35ad · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56dfec3c-ba2f-4a05-a4b5-8082acf8ae8b · outbound
This paper cites IEEE transactions on intelligent transportation systems 23(6), 4959–4971 (2021) A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models 31.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models IEEE transactions on intelligent transportation systems 23(6), 4959–4971 (2021) A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models 31
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8542c1e-4e78-4a22-947c-bf222680dcaa · outbound
This paper cites Seedance 1.0: Exploring the Boundaries of Video Generation Models.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Seedance 1.0: Exploring the Boundaries of Video Generation Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f95b0ae0-764f-4f5f-b457-d79f1a2687c1 · outbound
This paper cites Technical report, Google DeepMind (2026),https: //blog.google/innovation-and-ai/technology/ai/veo-3-1-ingredients-to- video/, released: January 13, 2026.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Technical report, Google DeepMind (2026),https: //blog.google/innovation-and-ai/technology/ai/veo-3-1-ingredients-to- video/, released: January 13, 2026
Reference 17
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e454b87-31a0-4997-b8b7-cea40429f387 · outbound
This paper cites arXiv preprint arXiv:2506.00227 (2025).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models arXiv preprint arXiv:2506.00227 (2025)
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb8a2034-8a50-4ad5-b92d-1857a2354c81 · outbound
This paper cites an unresolved cited work.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
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Unavailable: canonical work link unavailable.
Observation ed70d74b-ea0e-4e70-81b9-4ff065bd8e0b · outbound
This paper cites In: 2024 IEEE International Conference on Multimedia and Expo (ICME).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: 2024 IEEE International Conference on Multimedia and Expo (ICME)
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9cfc816-00ae-4463-96e5-9b6e9ba673a2 · outbound
This paper cites In: International conference on machine learning.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: International conference on machine learning
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 176d01e4-f87d-4244-bd79-3589945217ea · outbound
This paper cites an unresolved cited work.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Unresolved cited work
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1ecacdc-21e2-4e65-a1d8-474f7bb015f3 · outbound
This paper cites In: Pro- ceedings of the Computer Vision and Pattern Recognition Conference.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Pro- ceedings of the Computer Vision and Pattern Recognition Conference
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1c96d6f-d393-4e38-9871-5f6f697c0378 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92dc0535-9cd7-4ecf-a824-8eae6377d192 · outbound
This paper cites Advances in neural information processing systems30(2017).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Advances in neural information processing systems30(2017)
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27c9c573-8212-471e-b272-1b9951883d85 · outbound
This paper cites GAIA-1: A Generative World Model for Autonomous Driving.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models GAIA-1: A Generative World Model for Autonomous Driving
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d293b9f-91a8-48cc-b64c-0dfd168b99ea · outbound
This paper cites Iclr1(2), 3 (2022).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Iclr1(2), 3 (2022)
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb72aa08-e2ef-41f1-bab8-388803af7b65 · outbound
This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence46(12), 10579–10596 (2024).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models IEEE Transactions on Pattern Analysis and Machine Intelligence46(12), 10579–10596 (2024)
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9901018d-4a03-4ae8-b40b-a8cecb6fc254 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45c4a2da-b049-4e44-be6a-5568258ea4f0 · outbound
This paper cites an unresolved cited work.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Unresolved cited work
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9e1f31e-3087-4aec-8916-2501bb0da5b2 · outbound
This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models How Far is Video Generation from World Model: A Physical Law Perspective
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57ef17e1-d04a-4589-9602-83302912c6d2 · outbound
This paper cites IEEE Trans- actions on Intelligent Vehicles9(1), 1792–1803 (2023) 32 N.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models IEEE Trans- actions on Intelligent Vehicles9(1), 1792–1803 (2023) 32 N
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a4bb952-ca2b-4909-864b-83c35f2f293b · outbound
This paper cites MapAnything: Universal Feed-Forward Metric 3D Reconstruction.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be1d0409-d07d-4f7a-87a5-4e14743709d7 · outbound
This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the AAAI Conference on Artificial Intelligence
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3129b51a-b7b0-4bde-a6d3-c15b1a8a53b7 · outbound
This paper cites In: 2025 IEEE International Conference on Robotics and Automation (ICRA).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: 2025 IEEE International Conference on Robotics and Automation (ICRA)
Reference 35
- Resolution
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- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b900484e-f0c2-4492-9729-f2c13271bba4 · outbound
This paper cites Advances in Neural Information Processing Systems37, 109790–109816 (2024).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Advances in Neural Information Processing Systems37, 109790–109816 (2024)
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35dcd8cc-56fa-4dc4-9d94-d6b7f18bc375 · outbound
This paper cites IEEE Transactions on Intelligent Transportation Systems23(8), 12518–12530 (2021).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models IEEE Transactions on Intelligent Transportation Systems23(8), 12518–12530 (2021)
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d928c8d1-ef00-46f7-8067-38bb644e8c00 · outbound
This paper cites Is Your Video Language Model a Reliable Judge?.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Is Your Video Language Model a Reliable Judge?
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ef8048a-9dbe-40e1-86a1-f342c4a96343 · outbound
This paper cites In: European Conference on Computer Vision.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: European Conference on Computer Vision
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04ff1ca8-692d-4834-9f16-2f4a74e1edc8 · outbound
This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8ecbb56-f8f0-40e5-bde5-a2a1d75ca8df · outbound
This paper cites Decoupled Weight Decay Regularization.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Decoupled Weight Decay Regularization
Reference 41
- Resolution
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- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfe8c495-04dc-4a19-b552-0654add443df · outbound
This paper cites In: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 235e5fb3-6ea3-49d8-8659-967c5cb76550 · outbound
This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed04d0a5-7ca8-4f08-a4ca-75c1712811d8 · outbound
This paper cites https://www.ecfr.gov/current/title-49/subtitle-B/chapter-V/part-563/ section-563.7.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models https://www.ecfr.gov/current/title-49/subtitle-B/chapter-V/part-563/ section-563.7
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49e2c81e-d491-4a08-b86c-39302559e34a · outbound
This paper cites arXiv preprint arXiv:2512.19526 (2025).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models arXiv preprint arXiv:2512.19526 (2025)
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9eed694-671f-4665-8138-43585062b658 · outbound
This paper cites In: International conference on machine learning.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: International conference on machine learning
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee52cc01-1a67-42fd-9d8f-38ec54af72f7 · outbound
This paper cites AIAA journal3(8), 1445–1450 (1965).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models AIAA journal3(8), 1445–1450 (1965)
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 607db016-c65a-4048-be73-bccd9996d302 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models SAM 2: Segment Anything in Images and Videos
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9e8b562-279c-4bc3-b98a-2aeb7fbbaff0 · outbound
This paper cites nature163(4148), 688–688 (1949).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models nature163(4148), 688–688 (1949)
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e15c1ec-2f6e-47b3-98ea-6cc1154ff2c6 · outbound
This paper cites Cambridge university press (2018) A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models 33.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Cambridge university press (2018) A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models 33
Reference 50
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8c861e7-9550-4499-af24-7d248552fb92 · outbound
This paper cites In: Proceed- ings of the Computer Vision and Pattern Recognition Conference.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceed- ings of the Computer Vision and Pattern Recognition Conference
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a959d373-4a7a-4e68-b32c-8c5f83c78776 · outbound
This paper cites Advances in neural information processing systems34, 16558–16569 (2021).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Advances in neural information processing systems34, 16558–16569 (2021)
Reference 52
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- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3653bc3c-5197-4f98-9f4e-cf87c6eade34 · outbound
This paper cites arXiv preprint arXiv:2506.09995 (2025).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models arXiv preprint arXiv:2506.09995 (2025)
Reference 53
- Resolution
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- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53071619-5e49-4ae6-b189-50d26fe0f9f0 · outbound
This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Towards Accurate Generative Models of Video: A New Metric & Challenges
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 136bb95f-16f1-43b7-a3dc-593be3500b2b · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Wan: Open and Advanced Large-Scale Video Generative Models
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0908054a-d2e1-47e6-8cce-559d61ce5a20 · outbound
This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the AAAI Conference on Artificial Intelligence
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8422ba77-e281-4036-a28c-79576dc1d795 · outbound
This paper cites In: European conference on computer vision.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: European conference on computer vision
Reference 57
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77ef6735-9baf-4134-b72e-f7f104a3d911 · outbound
This paper cites In: European Conference on Computer Vision.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: European Conference on Computer Vision
Reference 58
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b34cd504-f07d-462f-9ebf-8e1f4a239710 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 59
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5f3ee90-92b7-4ba9-bd2e-69d229171282 · outbound
This paper cites an unresolved cited work.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Unresolved cited work
Reference 60
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78b2c070-bbd5-4055-80bd-bacca3f4076d · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 61
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0beb3a96-74c9-4d75-83ef-09340d4870a0 · outbound
This paper cites Towards A Better Metric for Text-to-Video Generation.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Towards A Better Metric for Text-to-Video Generation
Reference 62
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7f867d1-618b-4804-b80c-e85c52521e4b · outbound
This paper cites arXiv preprint arXiv:2510.26125 (2025).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models arXiv preprint arXiv:2510.26125 (2025)
Reference 63
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa329426-4a21-453f-b875-9f328f2d5b46 · outbound
This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the Computer Vision and Pattern Recognition Conference
Reference 64
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b247511a-0e0f-4661-8e51-af3249862292 · outbound
This paper cites IEEE transactions on pattern analysis and machine intelligence45(1), 444–459 (2022).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models IEEE transactions on pattern analysis and machine intelligence45(1), 444–459 (2022)
Reference 65
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e90c6c60-d8b2-4e57-8be6-0df743844a8f · outbound
This paper cites In: 2019 IEEE/RSJ International conference on intelligent robots and systems (IROS).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: 2019 IEEE/RSJ International conference on intelligent robots and systems (IROS)
Reference 66
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6e47898-7403-48ca-813f-fcf195974bbe · outbound
This paper cites In: Euro- pean Conference on Computer Vision.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Euro- pean Conference on Computer Vision
Reference 67
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1094e3a-da2e-472e-b11a-bdcee829135c · outbound
This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 68
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdd2e1cd-37d0-4038-a9f2-7596cee2a321 · outbound
This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: Proceedings of the AAAI Conference on Artificial Intelligence
Reference 69
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abef0d2f-f577-4f6d-929d-8a5491541a98 · outbound
This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness
Reference 70
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b16dbce7-c269-42ee-a607-27d3c622ba86 · outbound
This paper cites In: European conference on computer vision.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: European conference on computer vision
Reference 71
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 227d8e58-480f-40a6-910e-5559526bbec2 · outbound
This paper cites Vehicle System Dynamics46(S1), 3–15 (2008).
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models Vehicle System Dynamics46(S1), 3–15 (2008)
Reference 72
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- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c275f5cd-5ac1-44c6-819d-746f10e45b28 · outbound
This paper cites In: European conference on computer vision.
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models In: European conference on computer vision
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:18:58.558989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.