Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:10.408876Z
Paper Citation Record · LEDGER
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
As of 14 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 29 inbound Pith citation observations for arXiv:2505.23656.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:30:52.394202Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:59:58.033217Z
Reference resolution
62 of 62 outbound references displayed
- verified exact1
- verified fuzzy12
- unresolved49
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f9a3f170-251e-44e0-964c-d8d060f8bb88 · outbound
This paper cites Cosmos World Foundation Model Platform for Physical AI.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Cosmos World Foundation Model Platform for Physical AI
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:04.895413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f1cb6ee-c7c2-4426-968d-ce5c80fcb68d · outbound
This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models VideoPhy: Evaluating Physical Commonsense for Video Generation
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:04.998138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 101b1ba2-fbfd-4999-b886-9c911a6af147 · outbound
This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:05.096694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0c39350-bc64-41c8-b6c0-30c32322d3e5 · outbound
This paper cites Bardes, Q.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Bardes, Q
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:16.676847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4fad483b-9025-4a1c-8a8b-512cf76231b8 · outbound
This paper cites Physion: Evaluating Physical Prediction from Vision in Humans and Machines.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Physion: Evaluating Physical Prediction from Vision in Humans and Machines
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:05.353999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfcd3251-fdca-4688-8d8c-323dae142f30 · outbound
This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:05.474837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95245c2e-1a82-4ec9-ba5b-feb107250317 · outbound
This paper cites Caron, H.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Caron, H
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:05.614838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 875f1f3a-445c-4b35-b4c3-2412d5fd3381 · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:16.555436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c13630db-b951-4a44-a43f-3fd077b7858f · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:05.775220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7e632a7-185c-4143-a4dd-1c1652535c71 · outbound
This paper cites LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:05.855165Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 393f91cf-09d7-4a5f-a18d-def4c31d7d79 · outbound
This paper cites Ehtesham, S.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Ehtesham, S
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:16.434952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 78cca29f-c722-48ac-a2bd-b0bf79f07ee0 · outbound
This paper cites Guiding Instruction-based Image Editing via Multimodal Large Language Models.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Guiding Instruction-based Image Editing via Multimodal Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:06.001988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 373c5a53-c8a9-402c-8ddc-2229e6e845e2 · outbound
This paper cites Intuitive physics understanding emerges from self-supervised pretraining on natural videos.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:06.055624Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24ac5404-754b-4718-b8f3-717d54631f7d · outbound
This paper cites Making LLaMA SEE and Draw with SEED Tokenizer.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Making LLaMA SEE and Draw with SEED Tokenizer
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:06.140712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dde62608-8640-402e-be29-409149f4f4db · outbound
This paper cites Gerstenberg, M.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Gerstenberg, M
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:16.316639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2408653f-a634-4ba3-a0c8-3dd06c78b033 · outbound
This paper cites Girdhar, A.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Girdhar, A
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:16.136359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 170d7212-91f2-4082-a84e-731cf4e6ce46 · outbound
This paper cites Grill, F.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Grill, F
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:06.276465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2eb06cf3-9388-474a-b890-4e6acd723a54 · outbound
This paper cites Groth, F.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Groth, F
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:15.897866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 77cf8c38-19b9-49fa-bed2-5208afe588b6 · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:06.413996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87274169-6784-4a76-884f-14c14aa99192 · outbound
This paper cites Huang, L.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Huang, L
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:15.661344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7e5334cb-3470-4afb-9254-9194b21af83b · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:15.372401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e7de5213-8975-4c1d-985e-52b34c7b83ef · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:06.844842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fb36c7d-3ee9-4110-b2b6-ec1534011832 · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:06.995103Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32dea26b-8f0f-4624-80ec-2c2080399a59 · outbound
This paper cites ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:07.104940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3695e025-8b7a-402e-aa16-b81f58b0a790 · outbound
This paper cites Phy124: Fast Physics-Driven 4D Content Generation from a Single Image.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Phy124: Fast Physics-Driven 4D Content Generation from a Single Image
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:07.182308Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbfaa082-3d59-4d6f-acbf-0c5b8d928944 · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:07.329987Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 798eaab2-2d98-4c1e-903b-f5de3dd73e69 · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:15.115720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 87e02a5c-6ceb-48b0-8d58-e5c7f31e3626 · outbound
This paper cites Dream machine | ai video generator, 2024.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Dream machine | ai video generator, 2024
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:14.735260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 36e24afc-ee16-458f-a9d7-94fbe5aba3da · outbound
This paper cites Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:07.615748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df44bbb4-99aa-4065-a2da-2b9ee4dd14e7 · outbound
This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:07.684840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc687a02-04af-467e-a761-6376695e02c3 · outbound
This paper cites Montanaro, L.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Montanaro, L
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:14.467851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 745040ec-2c8a-47df-8cfd-85588e937a36 · outbound
This paper cites Do generative video models understand physical principles?.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Do generative video models understand physical principles?
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:07.830603Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f87476b0-1aff-4c88-acb3-979c1a25d3a2 · outbound
This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:07.913270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea57cb19-6d77-49e8-a864-2e7ac5846ed3 · outbound
This paper cites Openai: Gpt-4 for vision (chatgpt with image input), 2023.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Openai: Gpt-4 for vision (chatgpt with image input), 2023
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:14.187770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 335718d4-43e0-4312-941c-e44897c8cb69 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models DINOv2: Learning Robust Visual Features without Supervision
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:08.120763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50b93e7f-7ed5-48a0-8753-e08e2f998aef · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:13.910222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f890dc14-d8ae-4956-a1dc-9f8cf8d285f1 · outbound
This paper cites LEGO-Motion: Learning-Enhanced Grids with Occupancy Instance Modeling for Class-Agnostic Motion Prediction.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models LEGO-Motion: Learning-Enhanced Grids with Occupancy Instance Modeling for Class-Agnostic Motion Prediction
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:45:10.987749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8ba3a1c7-9831-4cdf-9fe3-4ab12a2fe39e · outbound
This paper cites IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:08.364785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55008d81-e02b-4ab4-8dd6-508ec808c995 · outbound
This paper cites Rombach, A.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Rombach, A
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:08.418335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1caace0d-7ab0-4eca-9473-013c0dc5e957 · outbound
This paper cites Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:08.523044Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72841b68-76d3-43d5-a4dc-c9c93bba3a8f · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:08.648474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ab82908-610e-4351-9475-86e5d249b1d7 · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:13.645172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f9f6701e-37f3-4ef8-b955-3383b3e11379 · outbound
This paper cites Venkatesh, H.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Venkatesh, H
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:13.369592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2a625851-e3ee-4c90-be5d-15a49e52a717 · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Wan: Open and Advanced Large-Scale Video Generative Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:08.895149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 539c7b23-b222-489f-bc12-f7fdf0861580 · outbound
This paper cites WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:08.981619Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb720472-c50e-4a01-8cd3-fcce6ce555fc · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:13.107433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9af82351-901f-4a68-a4ae-51167f64062d · outbound
This paper cites Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Koala-36M: A Large-scale Video Dataset Improving Consistency between Fine-grained Conditions and Video Content
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:09.146797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 714741ad-6430-4188-a51f-069af5946aeb · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:09.237204Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81964d07-186b-4f23-84cd-57c64f33666c · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:09.297377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44884a6f-6482-4b62-a5bf-e3353843c6c2 · outbound
This paper cites Automated Movie Generation via Multi-Agent CoT Planning.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Automated Movie Generation via Multi-Agent CoT Planning
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:09.400264Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2247713e-87dd-44bb-bdbc-e5eb78cbaf8c · outbound
This paper cites PhysAnimator: Physics-Guided Generative Cartoon Animation.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models PhysAnimator: Physics-Guided Generative Cartoon Animation
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:09.529463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b18ec368-6288-47ba-a2d7-23e28e6ef8c4 · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:12.864827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 659592f8-6664-4c2f-be00-80e17c541768 · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:12.581524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1d67c75a-fb13-4905-a6d1-1d8418547a8c · outbound
This paper cites PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:09.774670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f36ec859-0d57-46f0-b088-5c6fd51419b0 · outbound
This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:09.842625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b553b981-26be-4d8a-92ae-a673c15ab3ab · outbound
This paper cites Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:09.922611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d8147e4-c982-45cd-b27a-d515dac70a01 · outbound
This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:09.984945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d459e2f-15cd-4280-880e-385a3e59541c · outbound
This paper cites I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:10.140582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c2172d6-9ddc-4205-957a-15206135aa6e · outbound
This paper cites roll" and.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models roll" and
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:12.329091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3e2d31fb-a1f2-49c6-b874-6b9a9064bf35 · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:12.121997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0deb7079-5f46-447c-9c7a-4d41c6f058df · outbound
This paper cites an unresolved cited work.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:11.905645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7e39f078-fe85-4db1-9bc0-b6885f72ef55 · outbound
This paper cites Based on empirical evaluations in Table 6, we adopted the first strategy: processing all frames at a reduced resolution.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Based on empirical evaluations in Table 6, we adopted the first strategy: processing all frames at a reduced resolution
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:11.655548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
Observation b5a4a27d-6d6a-47e5-9999-9b24a1c0b084 · inbound
Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling cites this paper.
Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 94
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 32b2452f-2ca2-4a75-a901-0b65018381a0 · inbound
"PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models cites this paper.
"PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b39a40a2-396c-4989-9eeb-1d6698f25ca4 · 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 VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 347d065b-bf02-47cf-93e4-dc32cde8e675 · inbound
PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models cites this paper.
PhyDetEx: Detecting and Explaining the Physical Plausibility of T2V Models VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T18:00:27.218289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 69637c36-5420-458d-a69b-d39cf17d89a6 · inbound
Transition Matching Distillation for Fast Video Generation cites this paper.
Transition Matching Distillation for Fast Video Generation VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 63
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fea40679-2fe9-42ba-a4d7-980a8fee9702 · inbound
Olaf-World: Orienting Latent Actions for Video World Modeling cites this paper.
Olaf-World: Orienting Latent Actions for Video World Modeling VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 36
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5a7bc71-0409-43f1-ab5f-f5fe57d6eed1 · inbound
Under One Sun: Multi-Object Generative Perception of Materials and Illumination cites this paper.
Under One Sun: Multi-Object Generative Perception of Materials and Illumination VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 50
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8350745-ef14-44b6-b0c1-2fb281f9fa2e · inbound
Human Cognition in Machines: A Unified Perspective of World Models cites this paper.
Human Cognition in Machines: A Unified Perspective of World Models VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 221
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:12:26.004914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ddfce7a8-fb29-4369-8fe4-64e89c4cea8f · inbound
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models cites this paper.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:46:02.916958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cfba5c5f-3f70-4db3-a916-26d354c6e17d · inbound
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models cites this paper.
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:57:27.925208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d844438a-eb74-4af3-bbda-a7a2a3b2ab97 · inbound
SARA: Semantically Adaptive Relational Alignment for Video Diffusion Models cites this paper.
SARA: Semantically Adaptive Relational Alignment for Video Diffusion Models VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:25:54.965159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bef583c8-5140-4de0-8c28-eb5ae6021bc8 · inbound
SARA: Semantically Adaptive Relational Alignment for Video Diffusion Models cites this paper.
SARA: Semantically Adaptive Relational Alignment for Video Diffusion Models VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T23:15:07.975899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dee2aa1f-2305-4f4a-bc05-e1b9005fd7ac · inbound
Improved Baselines with Representation Autoencoders cites this paper.
Improved Baselines with Representation Autoencoders VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:43:15.208972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cf386c95-a14b-4de8-8545-7dfc4da47dfc · inbound
GeoFlow: Enforcing Implicit Geometric Consistency in Video Generation cites this paper.
GeoFlow: Enforcing Implicit Geometric Consistency in Video Generation VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:08:13.552484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e4378f01-936c-4241-8c9f-b3310203a143 · inbound
Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis cites this paper.
Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T05:29:39.647375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5a6330e7-96b9-40a6-b95f-eeea49b81e39 · inbound
GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation cites this paper.
GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:36:39.673333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 06816102-79a0-4900-aef0-2137740776ec · inbound
GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation cites this paper.
GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:54:59.244185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 69bacd6a-cb6c-4e45-b530-b31d7f79b389 · inbound
Tempered Self-Similarity Alignment for Physically Plausible Video Generation cites this paper.
Tempered Self-Similarity Alignment for Physically Plausible Video Generation VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T11:44:38.419321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8a7e44a6-7118-4dbf-aefb-16e6097fecee · inbound
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization cites this paper.
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T22:26:17.292794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 41590636-0f5c-4401-8ca2-229780b66fb2 · inbound
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization cites this paper.
VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T10:44:36.814378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 82558469-6c06-4310-a168-d1df9ffc5073 · inbound
Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment cites this paper.
Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T07:16:44.766781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fa4e91e3-0bc4-46b1-9ce4-87de4c77cc3e · inbound
MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model cites this paper.
MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:48:55.711321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a3d93cff-ae59-400c-9522-85b5c75c3b6a · inbound
DiffusionBench: On Holistic Evaluation of Diffusion Transformers cites this paper.
DiffusionBench: On Holistic Evaluation of Diffusion Transformers VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 91
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T16:59:58.035148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0cf101dc-2c4b-4fee-ad47-32c22d7f180f · inbound
PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation cites this paper.
PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T13:19:51.068810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 41115953-6c40-4c0f-b9ca-6988c3897b11 · inbound
PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation cites this paper.
PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T20:03:56.910145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9af6b0f9-eacb-41c7-a90e-2ac286a2674c · inbound
Aura: Consistent Multi-Subject Video Generation via VLM-Grounded Semantic Alignment cites this paper.
Aura: Consistent Multi-Subject Video Generation via VLM-Grounded Semantic Alignment VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T20:11:31.576642Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d6d83d4-61b0-4f0e-a988-27a6bc4da859 · inbound
Enhancing Video Physical Consistency via Role-aware Joint Training and Modality-decoupled Denoising cites this paper.
Enhancing Video Physical Consistency via Role-aware Joint Training and Modality-decoupled Denoising VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 43
- Resolution
- malformed identifier
- no resolver link, observed 2026-07-11T15:44:22.210969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b091439-78e3-4a07-94a1-48dbf571c7d3 · inbound
VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders cites this paper.
VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:51:47.212234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52c22c41-0074-482b-bf14-43e8adf5a7f5 · inbound
AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via Implicit Representation Alignment cites this paper.
AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via Implicit Representation Alignment VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:27:20.293209Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.