Paper Citation Record · LEDGER

Intuitive physics understanding emerges from self-supervised pretraining on natural videos

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2502.11831.

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

pith.paper-citation-record.v1
2502.11831 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

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

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:55:25.737853Z

measured 0 of 1 external citation measurements

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

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 874ddffd-9f0c-4be8-a470-da0693472de9 · inbound

Zero-Shot Visual Generalization in Robot Manipulation cites this paper.

Zero-Shot Visual Generalization in Robot Manipulation Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T20:55:25.737853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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; no resolver link, observed 2026-08-07T12:45:06.055624Z

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; no resolver link, observed 2026-08-07T10:50:50.820432Z

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; no resolver link, observed 2026-08-07T04:44:02.067312Z

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; no resolver link, observed 2026-08-06T22:57:41.599469Z

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; no resolver link, observed 2026-08-06T15:11:13.195335Z

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; no resolver link, observed 2026-08-06T14:24:21.361886Z

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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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; no resolver link, observed 2026-08-01T21:07:24.934833Z

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; no resolver link, observed 2026-08-01T20:30:41.923953Z

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; no resolver link, observed 2026-07-30T13:44:14.872468Z

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.

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:17:35.719407Z

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.

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T01:44:57.582741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb2afac-1389-45e9-9ac0-e634d3398430 · inbound

Distilling Physical Priors into Streaming World Models cites this paper.

Distilling Physical Priors into Streaming World Models Intuitive physics understanding emerges from self-supervised pretraining on natural videos

Reference 179

Resolution: unresolved; no resolver link, observed 2026-08-12T00:40:08.640850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.