Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T10:35:06.650603Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:59:58.033217Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 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
- metadata mismatch
- arxiv_id, observed 2026-05-19T05:17:06.569867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
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
- metadata mismatch
- arxiv_id, observed 2026-05-18T10:01:13.996334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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
- no resolver link, observed 2026-08-03T10:35:06.650603Z
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
- no resolver link, observed 2026-08-03T01:20:05.776188Z
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
- no resolver link, observed 2026-07-13T22:08:47.493022Z
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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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 2026-08-05T06:32:48.257954+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.