Paper Citation Record · LEDGER

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.15824.

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

pith.paper-citation-record.v1
2507.15824 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:27:03.245735Z

measured 38 of 38 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy9
unresolved28
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd05d835-036a-4d73-a28f-484ef0c0855e · outbound

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

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Cosmos World Foundation Model Platform for Physical AI

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:00.219696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d342f1d-ad5c-427e-b5bd-651c97f9a05e · outbound

This paper cites Impossible Videos.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Impossible Videos

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:00.284729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab5d0084-29aa-49f1-8b60-e22e7e23eb9f · outbound

This paper cites VideoPhy: Evaluating Physical Commonsense for Video Generation.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models VideoPhy: Evaluating Physical Commonsense for Video Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:00.383675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5408ffb6-a523-4df4-b901-5475e57ec79a · outbound

This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:00.441134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cd747e2-bf7b-4097-86cf-cb7ba2c3b498 · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:00.511632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e9ff5b-fc7e-4e3a-ab78-bdd91f96d9c4 · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:27:04.190158Z

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 06aaccd1-4251-4057-a12d-a536cd6bce6d · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:27:04.168628Z

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 443a8733-255a-4e0c-a0c6-9a7208b88e23 · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:27:04.152771Z

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 203b6b81-9be3-4821-981a-47ddeeb5ec0b · outbound

This paper cites Gemini 2.5 Pro.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Gemini 2.5 Pro

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:04.137144Z

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 b1f2d662-8e71-42d6-872c-e817f9b13f2b · outbound

This paper cites Gemini 2.5 Flash.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Gemini 2.5 Flash

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:04.116230Z

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 49e730d7-c9ba-457e-b563-20e622c9018f · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:27:04.097902Z

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 e9be4478-8ace-4043-8239-d84d8ea79e36 · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models LTX-Video: Realtime Video Latent Diffusion

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:01.156060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a72f13bd-15f5-4954-abc2-fc2f681ef209 · outbound

This paper cites Pre-Trained Video Generative Models as World Simulators.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Pre-Trained Video Generative Models as World Simulators

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:01.234367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af6b60e2-c63c-45b3-8c6b-cdf8d396e8b1 · outbound

This paper cites Hessel, A.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Hessel, A

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:04.064421Z

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 6ec4b984-e348-489b-be63-be1a310b892a · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models GAIA-1: A Generative World Model for Autonomous Driving

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:01.391505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4efc76c7-0511-40a7-895d-2155be20621c · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:01.441313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 746c52b3-4100-4d68-a5ad-ffe926aa39fd · outbound

This paper cites Huang, H.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Huang, H

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:04.049667Z

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 d3e8b807-4e35-4a51-9bb8-da81b28bb603 · outbound

This paper cites Huang, Y.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Huang, Y

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:04.032429Z

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 fa7dc48a-ed60-4b45-a638-f94f94f50c2b · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:01.639928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06750cd7-951f-4862-acd7-51c0aaeca1bc · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:27:04.009403Z

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 8697019d-a8fc-476f-adc8-4201986812b1 · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:27:03.986899Z

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 2dac2889-bf4f-47b0-b914-8a8391058d78 · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:27:03.967150Z

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 78df88ff-b6a1-4c01-b8c2-34c05b4f63a7 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:01.918575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27178bec-ac2b-4eb9-81d7-9bd31f9552fe · outbound

This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:01.977216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9861670-97bb-4563-b7f1-469724aed6ba · outbound

This paper cites Do generative video models understand physical principles?.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Do generative video models understand physical principles?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:02.052076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd65b5ba-7e32-48b4-8fda-d7d3f0d98802 · outbound

This paper cites Sora: Generating videos from text, 2025.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Sora: Generating videos from text, 2025

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:03.949098Z

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 83d1dd11-8178-4bb1-b895-5aff8986a35f · outbound

This paper cites Gen-3 Alpha.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Gen-3 Alpha

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:03.931477Z

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 2ca34fe6-b039-42c7-8c55-7e16e86dfc42 · outbound

This paper cites Salimans, I.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Salimans, I

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:03.911290Z

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 bc2a468d-5cd6-4fd3-bffa-f615d734e8e7 · outbound

This paper cites Magi-1: Autoregressive video generation at scale, 2025.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Magi-1: Autoregressive video generation at scale, 2025

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:27:03.893828Z

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 b4ea5221-cc9e-4341-8817-fc93eac75d0a · outbound

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

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:02.698103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f08ae1b-8495-4218-9ab9-857cabf24641 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:02.864867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe0eb035-5071-4400-b47a-e6a17f6bbff8 · outbound

This paper cites WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:02.986657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6464209-3ee2-44bb-89d8-af07f222587f · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:27:03.876651Z

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 8b847a99-dda7-4fbd-a632-715a95042b47 · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:27:03.857513Z

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 144296a1-b1b6-42ab-a870-9fc2f61ec084 · outbound

This paper cites MAGVIT: Masked Generative Video Transformer.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models MAGVIT: Masked Generative Video Transformer

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:03.235158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b25baba-56db-4676-8722-d9ea2ea759f3 · outbound

This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:03.240621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b82d2d0f-ccd5-4d98-a987-6b562a6e5018 · outbound

This paper cites are” rather than what agents can “do.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models are” rather than what agents can “do

Reference 37

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T15:27:03.834877Z

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 9e4b52cf-bc2b-4562-9aac-05d737f56107 · outbound

This paper cites an unresolved cited work.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Unresolved cited work

Reference 2025

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:27:04.082066Z

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.

Pith citing papers

No inbound Pith citation observations are available.