Paper Citation Record · LEDGER

Do generative video models understand physical principles?

As of 4 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 44 inbound Pith citation observations for arXiv:2501.09038.

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

pith.paper-citation-record.v1
2501.09038 v3

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T12:47:05.825659Z

measured 115 of 115 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:46:56.260489Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-07T15:43:53.802817Z

Reference resolution

71 of 71 outbound references displayed

verified exact19
verified fuzzy46
unresolved3
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be30d9be-89b9-4840-9a13-01903956359a · outbound

This paper cites Sora: OpenAI’s Multimodal Agent.

Do generative video models understand physical principles? Sora: OpenAI’s Multimodal Agent

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.981189Z

Source-reported events for the cited work

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Observation 75b5995c-6d7a-4c94-a29e-68f387000bb2 · outbound

This paper cites Veo2: Our state-of-the-art video generation model.

Do generative video models understand physical principles? Veo2: Our state-of-the-art video generation model

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.993029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 585d34df-46b2-4a0a-95a0-6af9c454c095 · outbound

This paper cites Meta Movie Gen: AI-powered movie generation.

Do generative video models understand physical principles? Meta Movie Gen: AI-powered movie generation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.995048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5fd8ed30-600c-464b-8372-8696e4cdba71 · outbound

This paper cites Possible principles underlying the transformation of sensory messages.

Do generative video models understand physical principles? Possible principles underlying the transformation of sensory messages

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.996922Z

Source-reported events for the cited work

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Observation 0ae1eebb-171d-4603-8aa0-7a4b08dc7b0b · outbound

This paper cites Handbuch der physiologischen Optik: mit 213 in den Text eingedruckten Holzschnitten und 11 Tafeln, volume 9.

Do generative video models understand physical principles? Handbuch der physiologischen Optik: mit 213 in den Text eingedruckten Holzschnitten und 11 Tafeln, volume 9

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.998946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d29fd143-46d4-440b-bf3a-5b0969c00b61 · outbound

This paper cites A theory of cortical responses.

Do generative video models understand physical principles? A theory of cortical responses

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.000905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 14029c3f-f646-4b41-aa32-5737bb899c60 · outbound

This paper cites Shortcut learning in deep neural networks.

Do generative video models understand physical principles? Shortcut learning in deep neural networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.002781Z

Source-reported events for the cited work

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Observation 61fe6d2b-c5b4-42ac-8816-596c55850169 · outbound

This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.

Do generative video models understand physical principles? How Far is Video Generation from World Model: A Physical Law Perspective

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.907906Z

Source-reported events for the cited work

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Observation bb5c74a6-9c52-4325-8f3c-8b0a03c2e3d1 · outbound

This paper cites an unresolved cited work.

Do generative video models understand physical principles? Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-20T12:47:06.004508Z

Source-reported events for the cited work

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Observation 2086eca5-8011-4fe5-8c23-c05c21f1338d · outbound

This paper cites Pika labs.

Do generative video models understand physical principles? Pika labs

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.006471Z

Source-reported events for the cited work

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Observation 74b3dc2d-ebac-46db-8a45-40c5a1bf8742 · outbound

This paper cites Lumiere: A space-time diffusion model for video generation.

Do generative video models understand physical principles? Lumiere: A space-time diffusion model for video generation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.008413Z

Source-reported events for the cited work

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Observation c684a96a-4bfc-4307-bf13-66e160873369 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Do generative video models understand physical principles? Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.901531Z

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Observation cd32b3b3-8270-4463-94f8-6bec8cbe30af · outbound

This paper cites an unresolved cited work.

Do generative video models understand physical principles? Unresolved cited work

Reference 13

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Observation e205c3ce-e9a8-4f70-902f-29a31aa8653a · outbound

This paper cites Generalisation in humans and deep neural networks.

Do generative video models understand physical principles? Generalisation in humans and deep neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.012047Z

Source-reported events for the cited work

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Observation b28fd795-e6ab-4de6-b43e-ef7530a9fe6c · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations.

Do generative video models understand physical principles? Benchmarking neural network robustness to common corruptions and perturbations

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.013852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 412b4df4-37e4-4546-8fe9-9d919cadaec1 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Do generative video models understand physical principles? Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 16

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Source-reported events for the cited work

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Observation d216a132-2acf-4c77-9661-5c5a5394efea · outbound

This paper cites Bear, Elias Wang, Damian Mrowca, Felix J.

Do generative video models understand physical principles? Bear, Elias Wang, Damian Mrowca, Felix J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.015955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 28651205-170d-4d8a-8a3e-49fac09f9d0c · outbound

This paper cites Physion++: Evaluating physical scene understanding that requires online inference of different physical properties.

Do generative video models understand physical principles? Physion++: Evaluating physical scene understanding that requires online inference of different physical properties

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.017864Z

Source-reported events for the cited work

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Observation 5b58ff9c-a28d-4650-bbfa-72a4d835651f · outbound

This paper cites CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions.

Do generative video models understand physical principles? CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:05.879867Z

Source-reported events for the cited work

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Observation c9132840-6eb4-43ac-ae22-fbf9685d5529 · outbound

This paper cites IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning.

Do generative video models understand physical principles? IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning

Reference 20

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Observation 5e60b1db-5dd8-4d46-bd37-003c33e918ce · outbound

This paper cites Curvilinear motion in the absence of external forces: Naive beliefs about the motion of objects.

Do generative video models understand physical principles? Curvilinear motion in the absence of external forces: Naive beliefs about the motion of objects

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.019736Z

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Observation cfd57828-3369-49ea-b154-da7b4eaadf72 · outbound

This paper cites Intuitive physics.

Do generative video models understand physical principles? Intuitive physics

Reference 22

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Observation d1ff96fb-036a-4ed3-9f3b-14d3baddffcd · outbound

This paper cites Perception of partly occluded objects in infancy.

Do generative video models understand physical principles? Perception of partly occluded objects in infancy

Reference 23

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dd758c56-0719-4e67-b833-f336640ad137 · outbound

This paper cites Origins of knowledge.

Do generative video models understand physical principles? Origins of knowledge

Reference 24

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 13610437-129d-4033-887d-d05ee39cbb02 · outbound

This paper cites Spatiotemporal continuity, smoothness of motion and object identity in infancy.

Do generative video models understand physical principles? Spatiotemporal continuity, smoothness of motion and object identity in infancy

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.027019Z

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Observation fdca189d-f86f-4c0a-a8a4-60a1e5a47a5e · outbound

This paper cites A theory of causal learning in children: causal maps and bayes nets.

Do generative video models understand physical principles? A theory of causal learning in children: causal maps and bayes nets

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.028785Z

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Observation 1dca45bb-f4b1-4f9f-9f13-f2b6e4c2a5c6 · outbound

This paper cites The perception of causality in infancy.

Do generative video models understand physical principles? The perception of causality in infancy

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:06.030610Z

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Observation 928203e4-ab28-4e40-a812-ce59463c7ce2 · outbound

This paper cites Learning to poke by poking: Experiential learning of intuitive physics.

Do generative video models understand physical principles? Learning to poke by poking: Experiential learning of intuitive physics

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.935061Z

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Observation 13b549e8-2803-4a84-ac45-414014189572 · outbound

This paper cites Intuitive physics: Current research and controversies.

Do generative video models understand physical principles? Intuitive physics: Current research and controversies

Reference 29

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 13038db9-a6bb-4985-9be4-f966990c35ed · outbound

This paper cites How to grow a mind: Statistics, structure, and abstraction.

Do generative video models understand physical principles? How to grow a mind: Statistics, structure, and abstraction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.939342Z

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Observation 76865d16-49e4-4716-8d78-908e1f591cee · outbound

This paper cites Intuitive physics learning in a deep-learning model inspired by developmental psychology.

Do generative video models understand physical principles? Intuitive physics learning in a deep-learning model inspired by developmental psychology

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.941543Z

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Observation caabcda2-1515-4afb-987f-2a313522d058 · outbound

This paper cites Videophy: Evaluating physical commonsense for video generation.

Do generative video models understand physical principles? Videophy: Evaluating physical commonsense for video generation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.943720Z

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Observation 17e9b748-1847-4365-8db4-8ddb62cae90a · outbound

This paper cites Towards world simulator: Crafting physical commonsense-based benchmark for video generation.

Do generative video models understand physical principles? Towards world simulator: Crafting physical commonsense-based benchmark for video generation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.945991Z

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Observation dde35bd3-a33e-4aaf-b498-18e999675f32 · outbound

This paper cites PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos.

Do generative video models understand physical principles? PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos

Reference 34

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Observation 4097a27e-822c-4e46-b132-57a05af61dd6 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Do generative video models understand physical principles? Cosmos World Foundation Model Platform for Physical AI

Reference 35

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ace8930d-fe76-440f-aa63-67ff4c1395dc · outbound

This paper cites LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines.

Do generative video models understand physical principles? LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.863668Z

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Observation ada27f6a-f0b7-44c1-8cdb-10a76333341c · outbound

This paper cites CoPhy: Counterfactual Learning of Physical Dynamics.

Do generative video models understand physical principles? CoPhy: Counterfactual Learning of Physical Dynamics

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:05.867389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bad01de0-8abb-4a71-ac28-78beb0b20764 · outbound

This paper cites CLEVRER: CoLlision Events for Video REpresentation and Reasoning.

Do generative video models understand physical principles? CLEVRER: CoLlision Events for Video REpresentation and Reasoning

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.872530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f045e74-a245-4939-9ae6-0d8cd80ee621 · outbound

This paper cites ESPRIT: Explaining Solutions to Physical Reasoning Tasks.

Do generative video models understand physical principles? ESPRIT: Explaining Solutions to Physical Reasoning Tasks

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:47:05.876305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 54726eb3-87bf-448a-913d-761b2c72fe51 · outbound

This paper cites How far is video generation from world model: A physical law perspective.

Do generative video models understand physical principles? How far is video generation from world model: A physical law perspective

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.948062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 56c77693-d11f-4d19-868f-63fc89654219 · outbound

This paper cites Generative Physical AI in Vision: A Survey.

Do generative video models understand physical principles? Generative Physical AI in Vision: A Survey

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cef70ae-dd25-4984-b251-d785c98968c1 · outbound

This paper cites an unresolved cited work.

Do generative video models understand physical principles? Unresolved cited work

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3f23a708-f2d2-4329-96d8-b402d06862c0 · outbound

This paper cites Image quality metrics: Psnr vs.

Do generative video models understand physical principles? Image quality metrics: Psnr vs

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.952417Z

Source-reported events for the cited work

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Observation 945e0b87-698d-4b09-85c9-583b153a2668 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Do generative video models understand physical principles? Image quality assessment: from error visibility to structural similarity

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.954606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8721f95e-2e4c-44af-ae2f-a951d6fa2822 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Do generative video models understand physical principles? Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.904727Z

Source-reported events for the cited work

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Observation 13ae6a09-67c9-419d-a773-09949530f5ec · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Do generative video models understand physical principles? The unreasonable effectiveness of deep features as a perceptual metric

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.957011Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be869885-7fd3-433b-a659-f81f68235214 · outbound

This paper cites Vbench: Comprehensive benchmark suite for video generative models.

Do generative video models understand physical principles? Vbench: Comprehensive benchmark suite for video generative models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.959341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a5950531-c49f-40bc-ba46-d54c29ff3240 · outbound

This paper cites VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models.

Do generative video models understand physical principles? VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:05.918799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation adff459a-b84b-46dc-b336-189ff2d2d82a · outbound

This paper cites VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation.

Do generative video models understand physical principles? VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:05.922143Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 10315fb0-c4fc-48c9-9972-e6d3757f1f1b · outbound

This paper cites On the content bias in frechet video distance.

Do generative video models understand physical principles? On the content bias in frechet video distance

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.961250Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation da1e2d2e-1231-4308-9094-6a8cbbcda8a3 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Do generative video models understand physical principles? Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.860054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 82c4d89a-3758-42f9-a4fe-dc8fbbcc0571 · outbound

This paper cites Telling more than we can know: Verbal reports on mental processes.

Do generative video models understand physical principles? Telling more than we can know: Verbal reports on mental processes

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.963700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 06190a21-a0a1-401a-bd34-b918e8aefaaf · outbound

This paper cites Building machines that learn and think like people.

Do generative video models understand physical principles? Building machines that learn and think like people

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.965594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 94d0bacf-1229-4db9-94bf-73c60c1b3dfd · outbound

This paper cites Tiered reasoning for intuitive physics: Toward verifiable commonsense language understanding.

Do generative video models understand physical principles? Tiered reasoning for intuitive physics: Toward verifiable commonsense language understanding

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.967567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 580e72e8-4fc3-4dda-8c5c-7723e660cd33 · outbound

This paper cites Benchmarking progress to infant-level physical reasoning in ai.

Do generative video models understand physical principles? Benchmarking progress to infant-level physical reasoning in ai

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.969582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8425b704-d02d-4952-ab71-40bdfaa30831 · outbound

This paper cites Using cognitive psychology to understand GPT -3.Proceedings of the National Academy of Sciences, 120(6):e2218523120.

Do generative video models understand physical principles? Using cognitive psychology to understand GPT -3.Proceedings of the National Academy of Sciences, 120(6):e2218523120

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.971487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b52ad41e-c630-4e6c-bb59-f715708614be · outbound

This paper cites GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models.

Do generative video models understand physical principles? GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:47:05.883349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3905346-ce97-4b1d-8214-c8fa4566b217 · outbound

This paper cites Visual cognition in multimodal large language models.

Do generative video models understand physical principles? Visual cognition in multimodal large language models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.973327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 04aff714-ce32-4626-ac59-5db4b4f690ae · outbound

This paper cites Vision language models are blind.

Do generative video models understand physical principles? Vision language models are blind

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.975462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a2e9193-73a5-41ff-8397-8a2e0b29c90e · outbound

This paper cites A structural probe for finding syntax in word representations.

Do generative video models understand physical principles? A structural probe for finding syntax in word representations

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.977427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8bd2fd64-240a-4669-a85c-2201de36fa61 · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

Do generative video models understand physical principles? A Survey of Hallucination in Large Foundation Models

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.898109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a44e247c-ae76-40ea-8529-65c799e64f5a · outbound

This paper cites The origins of physical knowledge.

Do generative video models understand physical principles? The origins of physical knowledge

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.979360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 02daf8b1-7e0d-4b82-a36d-4625ee2a2ed8 · outbound

This paper cites The acquisition of physical knowledge in infancy: A summary in eight lessons.

Do generative video models understand physical principles? The acquisition of physical knowledge in infancy: A summary in eight lessons

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.991170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 60e45af0-7eeb-4613-9f57-834284b0c6a4 · outbound

This paper cites Grounding intuitive physics in perceptual experience.

Do generative video models understand physical principles? Grounding intuitive physics in perceptual experience

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.983003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 43ac990f-adc6-4d5a-a17a-8e6421e91ab8 · outbound

This paper cites A Compositional Object-Based Approach to Learning Physical Dynamics.

Do generative video models understand physical principles? A Compositional Object-Based Approach to Learning Physical Dynamics

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.911110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 924819bf-af15-4efa-8522-b00b353e05ea · outbound

This paper cites What tool representation, intuitive physics, and action have in common: The brain’s first-person physics engine.Cognitive neuropsychology, 38 (7-8):455–467.

Do generative video models understand physical principles? What tool representation, intuitive physics, and action have in common: The brain’s first-person physics engine.Cognitive neuropsychology, 38 (7-8):455–467

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.985024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1ec16ad5-cba1-42b5-80ab-d4be1f1a725e · outbound

This paper cites An approximate representation of objects underlies physical reasoning.

Do generative video models understand physical principles? An approximate representation of objects underlies physical reasoning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.986923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8abe2c7b-c94e-4385-8085-5d73df3821b1 · outbound

This paper cites Blending simulation and abstraction for physical reasoning.

Do generative video models understand physical principles? Blending simulation and abstraction for physical reasoning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:47:05.988981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0045ad51-3d30-466e-b304-68d8df5c532a · outbound

This paper cites OpenAI o1 System Card.

Do generative video models understand physical principles? OpenAI o1 System Card

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.925725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 92c52388-eac1-449d-bbbb-05fbe900e042 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Do generative video models understand physical principles? Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.929300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a3db43eb-04e3-492d-9651-f811da10e455 · outbound

This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

Do generative video models understand physical principles? Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.932345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 4338cddf-853f-42b0-851f-731c0b24a255 · inbound

DreamGen: Unlocking Generalization in Robot Learning through Video World Models cites this paper.

DreamGen: Unlocking Generalization in Robot Learning through Video World Models Do generative video models understand physical principles?

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 22a45069-e599-4c6c-84b2-6f492844737e · inbound

MAGI-1: Autoregressive Video Generation at Scale cites this paper.

MAGI-1: Autoregressive Video Generation at Scale Do generative video models understand physical principles?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 41084c6b-b52f-4529-9939-0df96549792e · inbound

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving cites this paper.

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving Do generative video models understand physical principles?

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b2a6d673-0efa-4537-aabc-f5b6eddd7b3f · inbound

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations cites this paper.

Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations Do generative video models understand physical principles?

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee9ebcbc-d1e2-49f9-a67e-a0342d723e6c · inbound

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning cites this paper.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Do generative video models understand physical principles?

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:56.260489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11174655-76a8-4901-8b29-a845e33e090a · inbound

Video models are zero-shot learners and reasoners cites this paper.

Video models are zero-shot learners and reasoners Do generative video models understand physical principles?

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d16735bc-16bd-4a06-8793-e40a5b9f48f7 · inbound

Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility cites this paper.

Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility Do generative video models understand physical principles?

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3b419af-52f2-414b-a9cf-963351d6be0c · 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 Do generative video models understand physical principles?

Reference 165

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b073b607-1fdc-4a9e-a313-abd9b69fd17e · inbound

World Simulation with Video Foundation Models for Physical AI cites this paper.

World Simulation with Video Foundation Models for Physical AI Do generative video models understand physical principles?

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1ef7f696-6bf9-43d6-aee1-ddde434b0048 · inbound

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models cites this paper.

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models Do generative video models understand physical principles?

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed43c1b0-425e-459d-be7e-7d72006dbca2 · inbound

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos cites this paper.

Generative Action Tell-Tales: Assessing Human Motion in Synthesized Videos Do generative video models understand physical principles?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T19:11:50.463345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb4da43-8c15-4a17-8b4d-8e1ced7aa9b1 · inbound

ProPhy: Progressive Physical Alignment for Dynamic World Simulation cites this paper.

ProPhy: Progressive Physical Alignment for Dynamic World Simulation Do generative video models understand physical principles?

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a7089ff2-618d-4bff-b5b2-5f25b921136b · inbound

VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation cites this paper.

VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation Do generative video models understand physical principles?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T17:01:22.042859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2de74268-a430-4cb7-a59c-1131244d045f · inbound

Can Vision Language Models Learn Intuitive Physics from Interaction? cites this paper.

Can Vision Language Models Learn Intuitive Physics from Interaction? Do generative video models understand physical principles?

Reference 1945

Resolution: unresolved; no resolver link, observed 2026-08-03T04:05:23.159709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 969e1b2b-f223-45be-a682-1be8383bb9da · inbound

Physical Commonsense Reasoning for Lower-Resourced Languages and Dialects: a Study on Basque cites this paper.

Physical Commonsense Reasoning for Lower-Resourced Languages and Dialects: a Study on Basque Do generative video models understand physical principles?

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 10d51751-ac56-4477-876a-ad40c853abca · inbound

Vision Language Models Cannot Reason About Physical Transformation cites this paper.

Vision Language Models Cannot Reason About Physical Transformation Do generative video models understand physical principles?

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-15T13:27:51.848177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 732d2208-55bf-4a36-968e-6c311a204dd8 · inbound

OSCBench: Benchmarking Object State Change in Text-to-Video Generation cites this paper.

OSCBench: Benchmarking Object State Change in Text-to-Video Generation Do generative video models understand physical principles?

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69261032-0f51-4a34-821d-695df74145b4 · inbound

SHIFT: Motion Alignment in Video Diffusion Models with Adversarial Hybrid Fine-Tuning cites this paper.

SHIFT: Motion Alignment in Video Diffusion Models with Adversarial Hybrid Fine-Tuning Do generative video models understand physical principles?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T23:12:03.389715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cede94f-9cef-43ca-9a0b-4f53ad9fd430 · inbound

Evolution of Video Generative Foundations cites this paper.

Evolution of Video Generative Foundations Do generative video models understand physical principles?

Reference 169

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1f0313ba-75a0-47b9-bbf4-02d3849a1650 · 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 Do generative video models understand physical principles?

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f450c1e3-8a80-4f94-89fa-6a770fb98a9a · 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 Do generative video models understand physical principles?

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-21T09:19:56.635709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2084c2d0-3dff-4696-87ad-edb9d62e60cc · inbound

PhysInOne: Visual Physics Learning and Reasoning in One Suite cites this paper.

PhysInOne: Visual Physics Learning and Reasoning in One Suite Do generative video models understand physical principles?

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b0c9ca86-41b5-46be-b412-b9f8c55d31b0 · inbound

Learning Long-term Motion Embeddings for Efficient Kinematics Generation cites this paper.

Learning Long-term Motion Embeddings for Efficient Kinematics Generation Do generative video models understand physical principles?

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 14c77d7a-3d25-4eca-b80d-f12be8df7df1 · inbound

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving cites this paper.

DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving Do generative video models understand physical principles?

Reference 136

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ec89bd95-34a7-4a29-b497-bcdae94bb4f1 · inbound

MechVerse: Evaluating Physical Motion Consistency in Video Generation Models cites this paper.

MechVerse: Evaluating Physical Motion Consistency in Video Generation Models Do generative video models understand physical principles?

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:25:46.382681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9cfdf174-bfa3-467a-bf54-fcf531b64b35 · inbound

PH-Dreamer: A Physics-Driven World Model via Port-Hamiltonian Generative Dynamics cites this paper.

PH-Dreamer: A Physics-Driven World Model via Port-Hamiltonian Generative Dynamics Do generative video models understand physical principles?

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a4cf3aa-3bb5-409f-83d6-a4580dafaa44 · inbound

NEWTON: Agentic Planning for Physically Grounded Video Generation cites this paper.

NEWTON: Agentic Planning for Physically Grounded Video Generation Do generative video models understand physical principles?

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be29af40-f0df-45ee-aa50-0129abd77f5a · inbound

Aero-World: Action-Conditioned Aerial Video Generation from Inertial Controls cites this paper.

Aero-World: Action-Conditioned Aerial Video Generation from Inertial Controls Do generative video models understand physical principles?

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:47:06.031259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ca50546-1b2f-46db-bfbb-a96046f5f520 · inbound

CRONOS: Benchmarking Counterfactual Physical Consistency in Video Models cites this paper.

CRONOS: Benchmarking Counterfactual Physical Consistency in Video Models Do generative video models understand physical principles?

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-25T04:40:23.148188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d652d533-b52d-4881-b91a-774296a43a25 · inbound

Tempered Self-Similarity Alignment for Physically Plausible Video Generation cites this paper.

Tempered Self-Similarity Alignment for Physically Plausible Video Generation Do generative video models understand physical principles?

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:44:38.410772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 197a157b-307b-4972-96e5-066cadd7cd60 · inbound

Benchmarking Single-Factor Physical Video-to-Audio Generation cites this paper.

Benchmarking Single-Factor Physical Video-to-Audio Generation Do generative video models understand physical principles?

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:43:13.354978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64699140-b02e-46dd-b82a-0ab6868f315f · inbound

NewtPhys: Do Foundation Models Understand Newtonian Physics? cites this paper.

NewtPhys: Do Foundation Models Understand Newtonian Physics? Do generative video models understand physical principles?

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-02T03:06:30.285868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cfd49274-eaeb-45fc-89c8-771ca27853e6 · inbound

Streaming Video Generation with Streaming Force Control cites this paper.

Streaming Video Generation with Streaming Force Control Do generative video models understand physical principles?

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:07:12.347411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2ac06c1f-16d1-4207-b8bf-fa6c77b3031d · inbound

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models cites this paper.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Do generative video models understand physical principles?

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-04T12:49:53.190384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b1209630-3b8b-4b5a-81b6-d225d1bb3e4f · inbound

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models cites this paper.

PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models Do generative video models understand physical principles?

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:04:39.244400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24f35792-dbc0-4eac-80a8-8a0571e15e1d · inbound

Show Me Examples: Inferring Visual Concepts from Image Sets cites this paper.

Show Me Examples: Inferring Visual Concepts from Image Sets Do generative video models understand physical principles?

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-03T15:18:32.891453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b4371528-8d4a-4cbe-86e1-e37c3014cb55 · inbound

Show Me Examples: Inferring Visual Concepts from Image Sets cites this paper.

Show Me Examples: Inferring Visual Concepts from Image Sets Do generative video models understand physical principles?

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T08:05:49.527175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c78694-9858-4150-8f3b-37ec7bc56304 · inbound

Show Me Examples: Inferring Visual Concepts from Image Sets cites this paper.

Show Me Examples: Inferring Visual Concepts from Image Sets Do generative video models understand physical principles?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T09:02:25.001646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f49bc541-6b83-486f-987e-bd7cb04637d2 · inbound

Multiplayer Interactive World Models with Representation Autoencoders cites this paper.

Multiplayer Interactive World Models with Representation Autoencoders Do generative video models understand physical principles?

Reference 259

Resolution: verified exact; local_arxiv, observed 2026-07-07T15:43:53.804033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f870fb47-e4e4-4874-8bba-6048d6d683fb · inbound

Detecting AI-Generated Video: A Vision-Language Dual-View Survey cites this paper.

Detecting AI-Generated Video: A Vision-Language Dual-View Survey Do generative video models understand physical principles?

Reference 244

Resolution: unresolved; no resolver link, observed 2026-07-14T09:16:37.881212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703dc201-a793-414a-a8de-324f9ab3b9c9 · inbound

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation cites this paper.

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation Do generative video models understand physical principles?

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:16.069275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f86ebf49-68dd-4872-a9af-a5c6039eb0c0 · 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 Do generative video models understand physical principles?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T13:44:14.883328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation defe9ad7-52e5-438e-bf6f-b550db64f698 · 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 Do generative video models understand physical principles?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T10:17:35.978285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fe1735f-0d26-4b74-b32b-65b86318be4a · 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 Do generative video models understand physical principles?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T01:44:58.119610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.