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Paper Citation Record · LEDGER

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing

As of 8 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2608.05485.

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

pith.paper-citation-record.v1
2608.05485 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:16:44.879850Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

60 of 60 outbound references displayed

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  • verified fuzzy26
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3024a84-9e41-4b75-a945-c57d57ecf7bd · outbound

This paper cites Wan2.2-V ACE-Fun-A14B, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Wan2.2-V ACE-Fun-A14B, 2025

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.625731Z digest=sha256:e6e6907d366c84f52b13bc838fa3b4b4ce65616e3f9bfd7bff8bba81fc02b357

Observation c4ad8a92-ea21-4935-83ad-80039a396b85 · outbound

This paper cites Introducing Claude Opus 4.8, 2026.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Introducing Claude Opus 4.8, 2026

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.632135Z digest=sha256:cac832a74887439595e2df842e85c038f5381ac5c83a328859adf115e3c469d5

Observation b7f568b1-6949-42f8-bcaf-192691708af7 · outbound

This paper cites Sana-video: Efficient video generation with block linear diffusion transformer.arXiv preprint arXiv:2509.24695, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Sana-video: Efficient video generation with block linear diffusion transformer.arXiv preprint arXiv:2509.24695, 2025

Reference 3

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source=pdf_text observed=2026-08-08T12:16:44.636943Z digest=sha256:88958a49daf56e8ca0caa4c38bc1b327cfa29e2fa900c1e86fd9233b004c77ad

Observation 92cf486a-ff02-4e4c-91ed-7b746d92e0db · outbound

This paper cites Ivebench: Modern benchmark suite for instruction-guided video editing assessment.arXiv preprint arXiv:2510.11647, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Ivebench: Modern benchmark suite for instruction-guided video editing assessment.arXiv preprint arXiv:2510.11647, 2025

Reference 4

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source=pdf_text observed=2026-08-08T12:16:44.641153Z digest=sha256:cd91f741d4e430a66890abc8fedd84f31cc2bd13b422c87450198d6b5c4cdcb3

Observation cfb085e4-7b92-4323-876d-efc25c368d6f · outbound

This paper cites Magref: Masked guid- ance for any-reference video generation with subject disen- tanglement.arXiv preprint arXiv:2505.23742, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Magref: Masked guid- ance for any-reference video generation with subject disen- tanglement.arXiv preprint arXiv:2505.23742, 2025

Reference 5

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source=pdf_text observed=2026-08-08T12:16:44.645017Z digest=sha256:6fdd28d2ed1eceee0a24eb78aee0d3ecc4ea3d462c8867dad3367ad0e6966801

Observation 883ba724-856e-4408-b5d6-ee7e0eed42bd · outbound

This paper cites Gemini 3.1 Pro: Model card, 2026.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Gemini 3.1 Pro: Model card, 2026

Reference 6

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raw_fallback, observed 2026-08-08T12:16:46.864266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.649217Z digest=sha256:f3bd5efb889d60a9e7b1f93fdc7f90e1ad66ae97126ba2120def6a93e8d1551f

Observation 2289aca0-a75c-4fe3-9fd9-579e70773def · outbound

This paper cites Veo 3 Model Card.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Veo 3 Model Card

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.653181Z digest=sha256:1de18ca1b0ef9484d0007486eaaec57bf667ae55a427f218777fbcf64fded483

Observation 95df5e91-9c1d-481d-a73f-3cc4bfabf1e9 · outbound

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

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing LTX-Video: Realtime Video Latent Diffusion

Reference 8

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source=pdf_text observed=2026-08-08T12:16:44.657247Z digest=sha256:c813094b4cac41f5451abec3a33afc3114b885ef45ea82c47822e04bc3c3632d

Observation c16f47e2-8914-4725-9eaf-4d991528485f · outbound

This paper cites Openve-3m: A large-scale high-quality dataset for instruction-guided video editing.arXiv preprint arXiv:2512.07826, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Openve-3m: A large-scale high-quality dataset for instruction-guided video editing.arXiv preprint arXiv:2512.07826, 2025

Reference 9

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source=pdf_text observed=2026-08-08T12:16:44.661497Z digest=sha256:82a3682895996248ae8917c9911bf63920ecbf7f76fd1dca8f01d4be8c89bbc9

Observation f7d9a41d-ccf7-4740-93f2-eabb73556743 · outbound

This paper cites HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation

Reference 10

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source=pdf_text observed=2026-08-08T12:16:44.665393Z digest=sha256:b3ce26fdb57a95eae0e0a486b1406a7db6b57adb04975d9699373ee7ad7452f4

Observation 1f83d1d8-d99a-4b81-a0da-95d0766194d8 · outbound

This paper cites PromptCap: Prompt-Guided Task-Aware Image Captioning.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing PromptCap: Prompt-Guided Task-Aware Image Captioning

Reference 11

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source=pdf_text observed=2026-08-08T12:16:44.671113Z digest=sha256:70cfa78c1f29dcc6a654be7d3d43a11bea97853eabc2cb530697c29b148c6077

Observation 7b4dbd12-f7ba-49db-8bed-d4a396b798c9 · outbound

This paper cites MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models

Reference 12

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source=pdf_text observed=2026-08-08T12:16:44.676377Z digest=sha256:41b2e44cc4058f07d770c22feb104c630c22274c741e3f56805fc73aa2721201

Observation f88a1b98-a342-4fd0-93d6-3d990ade54d9 · outbound

This paper cites MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models

Reference 13

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source=pdf_text observed=2026-08-08T12:16:44.681599Z digest=sha256:6e2e1a8830255a8d114bba1971d7c9f6256dbcf28289889fe4fb853f2edf4a99

Observation 51b6d96d-10e3-4dd3-b386-20e12e2a075e · outbound

This paper cites Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model

Reference 14

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source=pdf_text observed=2026-08-08T12:16:44.687142Z digest=sha256:e0dcf4d807bc1fdfaacec3ffaa6fde2b2da1bc605e8c6a17de90cddba1cddeb9

Observation bc2f26c9-c31a-48c7-8389-9acd2deacfbe · outbound

This paper cites Vbench: Comprehensive bench- mark suite for video generative models.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Vbench: Comprehensive bench- mark suite for video generative models

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-08T12:16:46.832436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.692436Z digest=sha256:6e3c0c0b9afa0ff15d324d67508bb222b2ef21760497fa72b48ae0375dd93906

Observation 11b19253-6a42-447f-ae99-645ad0ba67fb · outbound

This paper cites Vace: All-in-one video creation and editing.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Vace: All-in-one video creation and editing

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.697969Z digest=sha256:9eb06589980ad9cf2007d9336f13c9ea2d1a676c85e315b7d3a1aabef820156e

Observation 474b4297-571f-4ccf-bb7f-c70936a7e35f · outbound

This paper cites EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning

Reference 17

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source=pdf_text observed=2026-08-08T12:16:44.702972Z digest=sha256:f49ccbed31285b819b09103ca0988998f3f4fb0d46d7f6591247c2097468ae9b

Observation 19bb3541-0439-4422-9c09-67e0f00c4524 · outbound

This paper cites AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks

Reference 18

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source=pdf_text observed=2026-08-08T12:16:44.707094Z digest=sha256:facffbca1563eb5d155ca75a9f607a08ae0867177928f8092d0342f59749150b

Observation 32a2a8ae-fcaa-44f6-9ed9-4e820c224c55 · outbound

This paper cites Kling AI Launches 3.0 Model, Ush- ering in an Era Where Everyone Can Be a Director, 2026.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Kling AI Launches 3.0 Model, Ush- ering in an Era Where Everyone Can Be a Director, 2026

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.712409Z digest=sha256:083d76975a192ece5d9b799579dd84bdf0ed5443ad3515b46699c089861a9f6c

Observation c99fe9af-3db6-43d8-9510-1d2043848754 · outbound

This paper cites Skyreels-v3 technique report.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Skyreels-v3 technique report

Reference 20

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source=pdf_text observed=2026-08-08T12:16:44.716955Z digest=sha256:3dc0f384a50ee386d948edd6a8be04ddc48773aa86cb15771ee4492d620b7393

Observation 17524af8-6f2d-4c5a-8d7e-7d51dd9582e4 · outbound

This paper cites Five-bench: A fine-grained video editing benchmark for evaluating emerging diffusion and rectified flow models.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Five-bench: A fine-grained video editing benchmark for evaluating emerging diffusion and rectified flow models

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.721069Z digest=sha256:dc90bebd8491c5d268f08dd952695daf77215070634c64abebdb6e8c8cbdc3d2

Observation a1bcf71c-3ef6-4052-bd77-df701de5ea79 · outbound

This paper cites Bindweave: Subject-consistent video generation via cross-modal integration.arXiv preprint arXiv:2510.00438, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Bindweave: Subject-consistent video generation via cross-modal integration.arXiv preprint arXiv:2510.00438, 2025

Reference 22

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source=pdf_text observed=2026-08-08T12:16:44.725253Z digest=sha256:da8239031537550e9b6887330d9db51b4c6a3063e8cb73cab63d1fc15f364413

Observation 0b0ecad0-6b65-47ae-818e-f2db421da0f3 · outbound

This paper cites Videoxum: Cross- modal visual and textural summarization of videos.IEEE Transactions on Multimedia, 26:5548–5560, 2023.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Videoxum: Cross- modal visual and textural summarization of videos.IEEE Transactions on Multimedia, 26:5548–5560, 2023

Reference 23

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.729363Z digest=sha256:7bdb10ee423d2bdfc24834bc74c3fc564dc28fe851d1e4d81c3504d3fde86ac6

Observation 2f7209ca-05aa-4b22-9e51-cabd231c8770 · outbound

This paper cites Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance

Reference 24

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source=pdf_text observed=2026-08-08T12:16:44.733443Z digest=sha256:cd5aaef19a0ec908aa5dc5ef74173eb97d7c12fcf6f95ccb8b556a5b27549d41

Observation b47b7651-7284-4269-8034-92ff3ff37c63 · outbound

This paper cites Phantom: Subject-consistent video generation via cross- modal alignment.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Phantom: Subject-consistent video generation via cross- modal alignment

Reference 25

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raw_fallback, observed 2026-08-08T12:16:46.426385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.737319Z digest=sha256:08c37f1f5bd645590d3f6112a6ef902d04d143721298b02a3db546bdc4ec5ea5

Observation 10ae334f-c9e3-4892-b089-7d9ae2f2c664 · outbound

This paper cites Evalcrafter: Benchmarking and eval- uating large video generation models.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Evalcrafter: Benchmarking and eval- uating large video generation models

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.741315Z digest=sha256:506a2d24177f475daa8fe2de4168a78ef54ace8946bc62309c0eba6981c4b0be

Observation c5e2e806-9400-428a-bcce-a2533d70337c · outbound

This paper cites Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 27

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source=pdf_text observed=2026-08-08T12:16:44.745272Z digest=sha256:fd9443534a15fd2b613d15fe3fc4d778f53416a8c299ada24b33c98b65a2c716

Observation 3fb93422-dd37-4e82-b381-bc06916b7182 · outbound

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

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

Reference 28

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source=pdf_text observed=2026-08-08T12:16:44.749653Z digest=sha256:7600956bd8a73b5a300c167bf457b042e96d5e82678afd15acbad96231e86b6a

Observation d25e84af-91ad-42f1-8cc4-13490733b054 · outbound

This paper cites GPT-5.6 system card, 2026.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing GPT-5.6 system card, 2026

Reference 29

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raw_fallback, observed 2026-08-08T12:16:46.357130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.754532Z digest=sha256:4c1b1938289936231ae750dc9e32ed286ca1836493081a42138bd67a4aaece58

Observation f73d2211-82e6-4af8-b94a-fb0044fd4a0d · outbound

This paper cites Omniweaving: Towards unified video generation with free-form composition and reasoning.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Omniweaving: Towards unified video generation with free-form composition and reasoning

Reference 30

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source=pdf_text observed=2026-08-08T12:16:44.758766Z digest=sha256:e10cfeaa5bf62fa5c178405d5cf32ece0000a071a843295c26a120f8b803dc58

Observation 486b556f-6584-47bb-9465-f6a6ae0803dd · outbound

This paper cites Pixabay: Royalty-free images and videos.https: //pixabay.com, 2026.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Pixabay: Royalty-free images and videos.https: //pixabay.com, 2026

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.762524Z digest=sha256:a1e67146e84f260198e654ac52d001f53d0b7ceb2f995c75b6938a03a2c5cd9d

Observation 0998ea8a-608a-476d-ad98-998d6b46c40a · outbound

This paper cites Qwen3.6-27B: Flagship-level coding in a 27B dense model, 2026.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Qwen3.6-27B: Flagship-level coding in a 27B dense model, 2026

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.766419Z digest=sha256:27ffaa6dd921ed3fc01fd843084d6e18147f839044a56336ae0bea28b77827eb

Observation 1dd5f689-5e55-4392-9b06-d939107545b1 · outbound

This paper cites Seedance 2.0: Advancing Video Generation for World Complexity.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Seedance 2.0: Advancing Video Generation for World Complexity

Reference 33

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source=pdf_text observed=2026-08-08T12:16:44.769866Z digest=sha256:6da2187ae5fa94889f5c377ba7b9a423fa9019bbb45ac9fe2e4c8282ff0ba658

Observation f96ff7d6-e314-43bb-b574-0dd980bf18d5 · outbound

This paper cites T2v-compbench: A comprehen- sive benchmark for compositional text-to-video generation.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing T2v-compbench: A comprehen- sive benchmark for compositional text-to-video generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.775154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.775154Z digest=sha256:487fe92e42a201c685d8b39cfdc269e1ec4a196e624f9daca515595e96352ec2

Observation 0af05ddf-9c21-4556-930e-279e2c02a8b7 · outbound

This paper cites Video-lmm post-training: A deep dive into video reasoning with large multimodal models.arXiv preprint arXiv:2510.05034, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Video-lmm post-training: A deep dive into video reasoning with large multimodal models.arXiv preprint arXiv:2510.05034, 2025

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.779094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.779094Z digest=sha256:5f66e91b21b6fa92fd330095c9785d8e0ecbd628d1cac3e61d68cdaa1c52699e

Observation 5f2fc3c5-a8fc-4954-9bcf-3ca3b7a300a7 · outbound

This paper cites Lucy edit: Open-weight text-guided video editing, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Lucy edit: Open-weight text-guided video editing, 2025

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.782827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.782827Z digest=sha256:861abbea12d602e5673159d34a115d456c316b0e698aab34745e425a48e3079b

Observation 988ad96b-8dc7-4ad5-bb9f-eb9e756f05aa · outbound

This paper cites Gemma 4 technical report, 2026.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Gemma 4 technical report, 2026

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:46.313523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.787491Z digest=sha256:c6b5fd21765fa25c2c5b1fa65a6b5ecb4ac158dba63a30884596dad81fd7ae06

Observation e376cdd5-80f4-4f42-b5a2-3af01ed69e99 · outbound

This paper cites Longcat-video techni- cal report.arXiv preprint arXiv:2510.22200, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Longcat-video techni- cal report.arXiv preprint arXiv:2510.22200, 2025

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.792627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.792627Z digest=sha256:d0d2e706459223da574014f9be9d992edadc52ffae0672a209fb46e78a058c11

Observation 0c949280-2d1b-42e5-a590-6522acdff149 · outbound

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

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Wan: Open and Advanced Large-Scale Video Generative Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.796295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.796295Z digest=sha256:a5b3cf2b731c837e04fee7a846846d1b2932e49479af14ebcfd422501411627e

Observation 19c4003a-59d5-4d7f-a706-68799627988f · outbound

This paper cites RefAlign: Representation Alignment for Reference-to-Video Generation.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing RefAlign: Representation Alignment for Reference-to-Video Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.799989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.799989Z digest=sha256:a38749f3a63aa27428b285fa77ea3eca6431aa90f2ef69b92b61d29e7e7e8c01

Observation 3694f8df-fdb4-46ff-a867-f495cb517607 · outbound

This paper cites Groupdancer: Music to multi-people dance synthesis with style collaboration.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Groupdancer: Music to multi-people dance synthesis with style collaboration

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:46.303102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.804549Z digest=sha256:7839dc664a5a87efd4fb615ec2d860b2b0b3928e6e2c0a84d59e1f9e657fc7be

Observation e762aba0-8b1b-4526-90fb-0d3594ab4aeb · outbound

This paper cites Dance- camera3d: 3d camera movement synthesis with music and dance.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Dance- camera3d: 3d camera movement synthesis with music and dance

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:46.242406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.809570Z digest=sha256:e3b20e384a7b2ba922fe051c5f91558dbf8dac40c43faf751e0339897e661281

Observation 49b431a5-866a-4b0d-99ae-7752132052c1 · outbound

This paper cites Dancecamanimator: Keyframe- based controllable 3d dance camera synthesis.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Dancecamanimator: Keyframe- based controllable 3d dance camera synthesis

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:46.186876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.813364Z digest=sha256:8c6488824c4d805f48fcb7cf7a4337bb05eefaecc34fedee27f20278190e3969

Observation 792a3c7b-e677-477f-9104-59b7fa1676d2 · outbound

This paper cites UniVideo: Unified Understanding, Generation, and Editing for Videos.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing UniVideo: Unified Understanding, Generation, and Editing for Videos

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.816528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.816528Z digest=sha256:29496a98f29cdd9fbfdc21ffd4e81460bb0caa4e047630e3dfe0d108cc731f0f

Observation 9463e00b-0cf8-494f-bee7-4243e3ab15c9 · outbound

This paper cites Univbench: Towards unified evaluation for video founda- tion models.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Univbench: Towards unified evaluation for video founda- tion models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:46.175808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.820695Z digest=sha256:e26bd85e90fb03284c4ddbfb1d98dbfc6cceb919d2af7dd9642089a059670efd

Observation ae876613-a5fb-4be2-95e1-d298d7938f53 · outbound

This paper cites HunyuanVideo 1.5 Technical Report.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing HunyuanVideo 1.5 Technical Report

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.824877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.824877Z digest=sha256:a32a7222a810dc569c45bd6be986b8219b57046903c6c09dfd56fb4ccc801557

Observation 8b7ae10a-f4e6-4c8e-83bc-a631262920c7 · outbound

This paper cites Omni-video 2: Scaling mllm-conditioned diffu- sion for unified video generation and editing.arXiv preprint arXiv:2602.08820, 2026.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Omni-video 2: Scaling mllm-conditioned diffu- sion for unified video generation and editing.arXiv preprint arXiv:2602.08820, 2026

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.829047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.829047Z digest=sha256:31ff46294be5bc99a5469061e408d164ee36223fa442aa69d8773042de851e4e

Observation fa9d86ea-9eb4-4a23-96f4-fd6ac4cdce2f · outbound

This paper cites Videocof: Unified video editing with temporal reasoner.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Videocof: Unified video editing with temporal reasoner

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:46.164290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.832844Z digest=sha256:6e4cd7172f4561ab704406b4aa2dba5b4d9922f355dde992e37e78f2d261a352

Observation 3a9301c4-5fa8-4e41-9298-06eaa43d9566 · outbound

This paper cites VideoGen-Eval: Agent-based System for Video Generation Evaluation.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing VideoGen-Eval: Agent-based System for Video Generation Evaluation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.836637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.836637Z digest=sha256:65ad9f3e5ffaed8de38022fa377877c81649d9e2d9c2157ed8ee82107b24d381

Observation a8c9eb7c-d07b-43c3-a7f0-d477175e09cd · outbound

This paper cites Cogvideox: Text-to- video diffusion models with an expert transformer.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Cogvideox: Text-to- video diffusion models with an expert transformer

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:46.152996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.840573Z digest=sha256:4e4a5387bc1dda44129f378f46eae62e22c4a155cc79f71c9c27db4528c71db4

Observation a7092899-5802-4143-b91c-62e52039faa0 · outbound

This paper cites Omnipaint: Mastering object-oriented editing via disentan- gled insertion-removal inpainting.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Omnipaint: Mastering object-oriented editing via disentan- gled insertion-removal inpainting

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:46.128662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.843619Z digest=sha256:ead6818fc37c8d78ceed9d622034be4afb7c62c398798bc80edb61f10204e8bc

Observation f22534fe-6380-4805-b755-3b9be06cde03 · outbound

This paper cites Aurora: Unified Video Editing with a Tool-Using Agent.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Aurora: Unified Video Editing with a Tool-Using Agent

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.847796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.847796Z digest=sha256:985610a9a2ac66ef79a90bab8678f4921b04a3913246900283626a72b79abe08

Observation a4ef4198-f17b-40b9-a39c-7af7b245fde7 · outbound

This paper cites Opens2v- nexus: A detailed benchmark and million-scale dataset for subject-to-video generation.Advances in Neural Informa- tion Processing Systems, 38, 2026.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Opens2v- nexus: A detailed benchmark and million-scale dataset for subject-to-video generation.Advances in Neural Informa- tion Processing Systems, 38, 2026

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:46.026618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.853334Z digest=sha256:666b76c0cad4ec57bbf38c13a7c92a43214e7e32ec52dbf9d0a8a9efa4264510

Observation a6a5aa84-4ea7-430f-ba5c-0283c0028f8e · outbound

This paper cites Use of artificial intelligence to de- tect dental caries on intraoral photos.Quintessence interna- tional, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Use of artificial intelligence to de- tect dental caries on intraoral photos.Quintessence interna- tional, 2025

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:45.989401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.857239Z digest=sha256:2ae5a6f6d2034dd18f56d49bbaf0cf2b468c7404e24766d637fce4daf52750b1

Observation 26dd898b-4b68-4d42-837f-5149f34dcc38 · outbound

This paper cites Automated detection and quanti- tative assessment of dental plaque in intraoral images.ACM Transactions on Computing for Healthcare, 7(2):1–12, 2026.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Automated detection and quanti- tative assessment of dental plaque in intraoral images.ACM Transactions on Computing for Healthcare, 7(2):1–12, 2026

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:45.976698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.860993Z digest=sha256:29aea8d6d041e405443a78d8ee4d3811b723fc3706a0bbb09ac026e774993ee3

Observation 22fd2e73-2e62-4e88-814e-219399de2f11 · outbound

This paper cites Mira: Multimodal iterative reasoning agent for image editing.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Mira: Multimodal iterative reasoning agent for image editing

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T12:16:45.963337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.864845Z digest=sha256:09a4eb64f7a08aeeba4b49eacb7c502f78a3bd8efe88ccf1f7a921cff90ddd2e

Observation 45aceae2-729c-4b06-b1cf-a577e7d74e09 · outbound

This paper cites MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.868821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.868821Z digest=sha256:634438c9ef25d456d6bb898caaea2d9f90f38dc65a6eae082ef0e6a628c2e41e

Observation 33d1cbd9-cd31-4817-8aab-f6043f5a42dc · outbound

This paper cites Region-constraint in-context generation for instructional video editing.arXiv preprint arXiv:2512.17650, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Region-constraint in-context generation for instructional video editing.arXiv preprint arXiv:2512.17650, 2025

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.872691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.872691Z digest=sha256:7cabb8ec1244da9c00787ef4b3b1e445f3a03eb1630ffe4d4f81d385180e0136

Observation 6ac7bfcb-f5eb-4f7b-abaf-1f3af08da5be · outbound

This paper cites Kaleido: Open-sourced multi-subject reference video generation model.arXiv preprint arXiv:2510.18573, 2025.

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing Kaleido: Open-sourced multi-subject reference video generation model.arXiv preprint arXiv:2510.18573, 2025

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.876390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.876390Z digest=sha256:62c434afd8c2a2cf12de1f421fa31b8339a0dea60f48e2b3a27f85f7df993399

Observation 41bbc627-9bb7-4905-9a59-c7c66726b61a · outbound

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

VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-08T12:16:44.879850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:16:44.879850Z digest=sha256:e128b57f5e87e0adffd68c9882abced266de774aac1c84b57a6ca87da8f980b7

Pith citing papers

No inbound Pith citation observations are available.