Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2502.11831.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:06.055624Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:49:58.028816Z
Reference resolution
0 of 0 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 373c5a53-c8a9-402c-8ddc-2229e6e845e2 · inbound
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models cites this paper.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70af4007-3d33-405e-ad2b-7c9f99610c30 · inbound
WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning cites this paper.
WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 2024
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 247d25d1-55ab-4d2e-8cfb-fd6d5b5e283e · inbound
IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments cites this paper.
IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a91f2987-c5d1-4f6e-b57f-96e8a0647f82 · inbound
From 2D to 3D Cognition: A Brief Survey of General World Models cites this paper.
From 2D to 3D Cognition: A Brief Survey of General World Models Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 40
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cae7475f-b3f7-4dbb-b554-b0be803e9fd3 · inbound
Pixels to Principles: Probing Intuitive Physics Understanding in Multimodal Language Models cites this paper.
Pixels to Principles: Probing Intuitive Physics Understanding in Multimodal Language Models Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 016f5174-ad6c-4bcf-a506-bd1506d81b97 · inbound
Back to the Features: DINO as a Foundation for Video World Models cites this paper.
Back to the Features: DINO as a Foundation for Video World Models Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69a5a721-c0c7-4f28-9e95-6fb80f7ebe5c · inbound
Video models are zero-shot learners and reasoners cites this paper.
Video models are zero-shot learners and reasoners Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:16:45.772679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f59af1bc-b466-4e0f-b135-952007756d31 · inbound
Cambrian-S: Towards Spatial Supersensing in Video cites this paper.
Cambrian-S: Towards Spatial Supersensing in Video Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:46:04.500250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 61354da5-45df-4a10-8b5a-63a70d700bd9 · inbound
VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction cites this paper.
VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T11:11:27.496115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 110bdf2d-0a08-4bda-819c-1020caafee72 · inbound
LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels cites this paper.
LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T04:09:22.509193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a9e0982c-8ed1-44de-9240-7ab1db7caabf · inbound
Emergent Compositional Communication for Latent World Properties cites this paper.
Emergent Compositional Communication for Latent World Properties Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:29:52.172738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b44fdf50-aad1-467c-afb6-49e5f37e8f28 · inbound
Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics cites this paper.
Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:10:55.633345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4bed5068-a827-4e70-9185-70deb8e25112 · inbound
Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics cites this paper.
Phantom: Physics-Infused Video Generation via Joint Modeling of Visual and Latent Physical Dynamics Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T09:19:56.643712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c623550b-cbb5-4b8a-9af0-7f45508a71a9 · inbound
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results cites this paper.
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:25:22.549149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 780f2d9f-0af5-402d-b4ad-3bb44b9b871f · inbound
How VLAs (Really) Work In Open-World Environments cites this paper.
How VLAs (Really) Work In Open-World Environments Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:16:12.896377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 04af18dd-5090-4ae3-9c74-157e45c447a3 · inbound
Latent Video Prediction Learns Better World Models cites this paper.
Latent Video Prediction Learns Better World Models Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:13:40.572935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8cd38f33-4116-44e8-b4da-4cb3ffb18eea · inbound
LaMo: Self-Supervised Latent Motion Priors for Physical Realism in Video Generation cites this paper.
LaMo: Self-Supervised Latent Motion Priors for Physical Realism in Video Generation Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:45:20.390178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 34793af0-fccd-4d4d-aa67-45ddb3471636 · inbound
YoCausal: How Far is Video Generation from World Model? A Causality Perspective cites this paper.
YoCausal: How Far is Video Generation from World Model? A Causality Perspective Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:33:15.573118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 20db928d-33af-4e8f-86ba-5eb4ad1ad31b · inbound
LEVANTE-bench: Multi-Scale Comparison of VLMs to Children Using Cognitive Tasks (or, "Is Your VLM Smarter Than a 5th Grader?") cites this paper.
LEVANTE-bench: Multi-Scale Comparison of VLMs to Children Using Cognitive Tasks (or, "Is Your VLM Smarter Than a 5th Grader?") Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:46:46.442953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1df32e80-9436-48f3-96d5-c2dcf085849d · inbound
Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis cites this paper.
Do Video Foundation Models Understand Intuitive Physics? A Layerwise Probing Analysis Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:07:28.704748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 570413a8-8b63-47d1-8f58-07e6a0537ba6 · inbound
Asymmetric physics enables efficient learning in quadrupedal robot swarms cites this paper.
Asymmetric physics enables efficient learning in quadrupedal robot swarms Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:49:45.789160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9390965f-4d8e-40d8-9082-bb49b4fe87b8 · inbound
Neural Voxel Dynamics: Learning Implicit 3D Physics via Volumetric Feature Advection cites this paper.
Neural Voxel Dynamics: Learning Implicit 3D Physics via Volumetric Feature Advection Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:49:58.030275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d5515de5-fdeb-4af9-b6f1-a313b3f5e650 · inbound
Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence cites this paper.
Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef6610a1-ee6b-4e4a-8c94-73ab24559219 · inbound
PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration cites this paper.
PAVXploreRL: Physical-Action-Visual World Model Reinforcement Learning with Action Exploration Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89019773-9769-410d-9432-cb4084f5b609 · inbound
What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations cites this paper.
What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d81a133f-5380-4604-be00-b3adf776523d · inbound
What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations cites this paper.
What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37028486-36d4-4661-95d0-81dcf2c9db17 · inbound
What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations cites this paper.
What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.