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Paper Citation Record · LEDGER

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 4 inbound Pith citation observations for arXiv:2507.18107.

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

pith.paper-citation-record.v1
2507.18107 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:43:29.373928Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:52:46.919098Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:45:01.081306Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact10
  • verified fuzzy2
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 92c1b818-85ba-4dc2-b5df-3d432c487fe1 · outbound

This paper cites High-Order Matching for One-Step Shortcut Diffusion Models.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation High-Order Matching for One-Step Shortcut Diffusion Models

Reference 3

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local_arxiv, observed 2026-08-06T14:43:31.834179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9bec5562-9131-44ae-a44c-c4234785d5e4 · outbound

This paper cites Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation

Reference 4

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source=pdf_text observed=2026-08-06T14:43:26.067995Z digest=sha256:92b96e0c9a61b382a2255222d6182e3ab56d320adc4977bddbc793303d9dc4ae

Observation 2529b481-d0d2-492a-aa39-456354a6e29d · outbound

This paper cites Teaching video diffusion model with latent physical phenomenon knowledge.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Teaching video diffusion model with latent physical phenomenon knowledge

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:43:26.202610Z digest=sha256:e318eb513ae6af11323f1304bb6d847c0fbb9c85032ecf5dc0e52d2e7b64a4eb

Observation 66558e01-953a-4bcc-91e7-70f36cf8d7ba · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 6

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source=pdf_text observed=2026-08-06T14:43:26.298363Z digest=sha256:bea2c2dfa41f5f44fd3858ae84801483ece1458b856b87f5e2550d3ec4c75f43

Observation f2308e59-9a08-42ce-a73a-64f2db7c1330 · outbound

This paper cites TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation

Reference 8

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source=pdf_text observed=2026-08-06T14:43:26.566236Z digest=sha256:725cf141551a45e2f476a7a0101f17ae20e8b01d4957060f40bdc3311429e983

Observation be962982-bf37-4abe-85b8-77a9ad39f63e · outbound

This paper cites Can You Count to Nine? A Human Evaluation Benchmark for Counting Limits in Modern Text-to-Video Models.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Can You Count to Nine? A Human Evaluation Benchmark for Counting Limits in Modern Text-to-Video Models

Reference 9

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local_arxiv, observed 2026-08-06T14:43:31.054443Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:43:26.715490Z digest=sha256:688287b099fd9b145459f92a274683b98c8807e0b7c4068af028d160a67b664e

Observation 298f97a3-a323-45cf-be4c-fc3780e6deff · outbound

This paper cites On computational limits of flowar models: Expressivity and efficiency.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation On computational limits of flowar models: Expressivity and efficiency

Reference 10

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:43:26.809779Z digest=sha256:f2f43147fcf4e07d54bbeb8b5a0c1d56371ea784780ac2aa319276a7262a14f4

Observation ab0ca69c-8306-4440-befc-9133fde33526 · outbound

This paper cites Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows

Reference 11

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source=pdf_text observed=2026-08-06T14:43:26.916198Z digest=sha256:2a0a92dde0b7fc0a2bffc63500c6ff4653ec1729934a5221e18eb410102ebd01

Observation a7e7c662-bed0-4a72-8304-ca3397338ab3 · outbound

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

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation LTX-Video: Realtime Video Latent Diffusion

Reference 13

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source=pdf_text observed=2026-08-06T14:43:27.179259Z digest=sha256:ae10b39ac2a8b24be14c42ab7867027df8abf29fd6943485d552836abffdf1dd

Observation 1fd64acc-23e9-44ef-bcc2-3aa6adb17767 · outbound

This paper cites Clip- score: A reference-free evaluation metric for image captioning.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Clip- score: A reference-free evaluation metric for image captioning

Reference 14

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:43:27.268445Z digest=sha256:cf494ba1f88961aa80037cd13a8ddb8c3cf06cd90ff94dda20f099986bdc296a

Observation 50e821e1-e885-4f81-8044-39e13fd45158 · outbound

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

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models

Reference 15

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source=pdf_text observed=2026-08-06T14:43:27.444843Z digest=sha256:377ec1e6026e70827edb3c355d910b075aa7183b3e83c40f439879633c7d5592

Observation b4c53871-a608-4c6e-a2b8-531d646177a5 · outbound

This paper cites On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis

Reference 16

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source=pdf_text observed=2026-08-06T14:43:27.628258Z digest=sha256:755c0612aea95937a5b6e7fd4f9d15a2a19c2930e01cb495bfefdda4277910d1

Observation b4d811d3-a2f3-492b-8c58-04ec05dd3b1b · outbound

This paper cites Notice of removal: Videofusion: Decom- posed diffusion models for high-quality video generation.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Notice of removal: Videofusion: Decom- posed diffusion models for high-quality video generation

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:43:27.792912Z digest=sha256:451c3a0fc82945f160d129d4a3a0654a3b65e4aca658b0afdaf811d210e519f3

Observation 76a748e0-7dfa-426f-8b3b-cc4d3a86b326 · outbound

This paper cites HOFAR: High-Order Augmentation of Flow Autoregressive Transformers.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation HOFAR: High-Order Augmentation of Flow Autoregressive Transformers

Reference 18

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local_arxiv, observed 2026-08-06T14:43:30.267032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:43:27.886027Z digest=sha256:ffa65faabb2019bb5b3e36254d88d262d9877051b3f3855957dd5408a81d7819

Observation 27533d8d-7326-422c-b2a2-489628cfbf32 · outbound

This paper cites Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:43:27.999806Z digest=sha256:5fd36844424dcf813e5ad2d2bc9f62f88c1eef759ac3ad1a5e2b8414146329f6

Observation 18bb0530-6737-4913-a8b3-e6fdfda92216 · outbound

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

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

Reference 20

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source=pdf_text observed=2026-08-06T14:43:28.111649Z digest=sha256:1bc1b8850919714fb61eea8fd6c4c201634e2398bbcd7f037609990d685dde82

Observation 5453c6f9-a506-460b-9980-5845d7faea3d · outbound

This paper cites PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models

Reference 21

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source=pdf_text observed=2026-08-06T14:43:28.205279Z digest=sha256:5196582ea4318c7d4f3d71a6df87c592cb1f6267000c9d8455df821b1b52fa4e

Observation b47293cc-c440-4ca9-9be2-f32f7ce3527c · outbound

This paper cites WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

Reference 22

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source=pdf_text observed=2026-08-06T14:43:28.300529Z digest=sha256:27bd07bba5aa4f38869fa168fda803e47771714525c9f8ba894ec8d50c6a219b

Observation bb9a2f4f-e8cd-4ca9-949d-7106bdbfec88 · outbound

This paper cites VideoAgent: Self-Improving Video Generation.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation VideoAgent: Self-Improving Video Generation

Reference 23

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source=pdf_text observed=2026-08-06T14:43:28.431568Z digest=sha256:cd42ecfc563a29d83232fe8245404dc8b5709a48f43465eeba92f0caab3bcc2a

Observation cb7e9486-d713-4478-a10c-2d229f39f468 · outbound

This paper cites CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation

Reference 24

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source=pdf_text observed=2026-08-06T14:43:28.546293Z digest=sha256:09ee41db036ca395679ea3c7daddfe575d06fea592bbceeec5cb0d885ce8e261

Observation 4130ca2c-7267-4061-9698-8a788c1bc156 · outbound

This paper cites Respond Beyond Language: A Benchmark for Video Generation in Response to Realistic User Intents.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Respond Beyond Language: A Benchmark for Video Generation in Response to Realistic User Intents

Reference 25

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local_arxiv, observed 2026-08-06T14:43:29.751683Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:43:28.645576Z digest=sha256:9780c0356589038385f4ae0e1ae225670b21410c0ea94ab20db3b8cfcbc98950

Observation 7682beda-3ac6-47a1-b1d2-f7ceac977725 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 26

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source=pdf_text observed=2026-08-06T14:43:28.752436Z digest=sha256:e108305fb01e08410fd558f7bdc1325d8a0b93a321da8e977024413f98879dcd

Observation dac80bea-a751-49ef-b9b7-622125bdc448 · outbound

This paper cites DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory

Reference 27

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source=pdf_text observed=2026-08-06T14:43:28.850378Z digest=sha256:ddbe0183430401fa0842c48ccf33b9c6e06919822b1906f1569346705cc9fe15

Observation 9d3b7601-69a2-4004-9bce-c21bbd9453f9 · outbound

This paper cites Video as the New Language for Real-World Decision Making.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Video as the New Language for Real-World Decision Making

Reference 28

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source=pdf_text observed=2026-08-06T14:43:28.927615Z digest=sha256:3ff52f47c81f96d1a0b197ae0c45368ea57b1b4c06e9b4ff77c6802b70166c01

Observation 027ee29f-06ac-4f6e-bd18-d0d7008e79e9 · outbound

This paper cites VideoGrain: Modulating Space-Time Attention for Multi-grained Video Editing.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation VideoGrain: Modulating Space-Time Attention for Multi-grained Video Editing

Reference 29

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source=pdf_text observed=2026-08-06T14:43:29.013225Z digest=sha256:362390e6632a991d0ecae586f44d1332b7fd27a0a47770cae8985a0bce4788c9

Observation bc6bc7aa-ff22-4fd8-a8e4-53196d715c5a · outbound

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

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 30

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source=pdf_text observed=2026-08-06T14:43:29.146951Z digest=sha256:e86b0bc7508473f53ed559e55700058edebc0b94b8e8e0eadf24fadee39cc776

Observation a8c39ae7-e055-461f-a386-58e2306950d9 · outbound

This paper cites WorldGenBench: A World-Knowledge-Integrated Benchmark for Reasoning-Driven Text-to-Image Generation.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation WorldGenBench: A World-Knowledge-Integrated Benchmark for Reasoning-Driven Text-to-Image Generation

Reference 31

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source=pdf_text observed=2026-08-06T14:43:29.263437Z digest=sha256:d4fdbf40ab1272da34fa2172734947fb6818bb1feab1934b6a1d14b073422cc0

Observation 05078804-f07f-451b-8d23-3dc46e03ae6e · outbound

This paper cites Text-to-image Diffusion Models in Generative AI: A Survey.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Text-to-image Diffusion Models in Generative AI: A Survey

Reference 32

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source=pdf_text observed=2026-08-06T14:43:29.373928Z digest=sha256:cf376c9e59d4c562cafeafd09d7f538ba7aeaea1581b0b6c89f7c7952bb5f1c0

Observation f819865a-45e4-4785-91c8-d755bb621ce8 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2014

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source=pdf_text observed=2026-08-06T14:43:27.052258Z digest=sha256:4e8cc32be2465a4e720520f5d271f72b2ef35aaffc91e975327e88ba242183bb

Observation 892524c3-6cab-4818-bf8f-fb37bb2bda70 · outbound

This paper cites Bridging the Intent Gap: Knowledge-Enhanced Visual Generation.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Bridging the Intent Gap: Knowledge-Enhanced Visual Generation

Reference 2023

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local_arxiv, observed 2026-08-06T14:43:31.279683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:43:26.437179Z digest=sha256:83b2f53a056244063e99302748025d949c770ef6385707eff8159fb8e3a7e01f

Observation 976ff85a-d8b6-4c8a-a4c1-e05f07d77f4e · outbound

This paper cites Text-to-image diffusion models cannot count, and prompt refinement cannot help.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation Text-to-image diffusion models cannot count, and prompt refinement cannot help

Reference 2024

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source=pdf_text observed=2026-08-06T14:43:25.702508Z digest=sha256:b91279293bdb9e29c602046978198da670195eddf8fcba364c9864287402a2d3

Observation c1d808e7-dfae-4833-bd0e-fd732a312339 · outbound

This paper cites RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation.

T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation

Reference 2025

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local_arxiv, observed 2026-08-06T14:43:32.009026Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T14:43:25.772164Z digest=sha256:bc34302c1d4101687e03e06c7deeceb511c1b58a579caf9265e80b2c8aa2f5bb

Pith citing papers

Observation 5cecbf39-9341-4f50-af95-bab82f51714e · inbound

When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation cites this paper.

When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation

Reference 2

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arxiv_id, observed 2026-05-19T22:02:49.017149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T21:59:44.030267Z digest=sha256:d4aaa9b7488d295adecc5e7fa3d73df19c11959e23df0603fea1319127576a01

Observation 679c137a-7961-44d9-8afb-6e82d2b9685b · inbound

When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation cites this paper.

When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T19:45:01.084251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T19:36:43.654439Z digest=sha256:8e0ba6d1ccbde2d9d9e6d400fb721348ddc8274c2773de4d1a0c207098b104d9

Observation b902979e-6979-4c9a-a65f-2676f69f5e6a · inbound

When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation cites this paper.

When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T13:52:46.919098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:52:46.919098Z digest=sha256:aec61bc75da6aa5da2499057b06b45afa3304935f3302ac4971bcf30af3dc4c6

Observation 7ad27d03-0e21-4575-af15-1942fd954d65 · inbound

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

Detecting AI-Generated Video: A Vision-Language Dual-View Survey T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation

Reference 275

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T09:16:37.881212Z digest=sha256:761bbc78fa31b2481f5e2602d40f130426661ef96d171ac99bcd089225cd84a6