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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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
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External citation measurements

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.625731Z digest=sha256:1cfd09d62cc7ebc6c66e188c33db80a614506ec8694b057a6e927b6c7d6c7a03

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.632135Z digest=sha256:61c9dd9fa7344e1a0dbb0d7330653dac7c2e1800acf05ac9f24f0cbee77c4069

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=sha256:9bcb3953aea89eba306d85af0ccdf5ddd6b2bc80d83ecdaeeae87b5139383588

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:d04c578410549e4f8f3748a293092f2373daa7e855dbd40bf47a8eff9f364439

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:d9cc9e824cc7196025144558459bee49a1060df463d972c470f5487a7abc7733

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.649217Z digest=sha256:5771bdba9d34f66f412c2077df3ea1ef3b7771233303c2656acc361e8a09804f

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.653181Z digest=sha256:b2a838b03f25801fc89ed6b7f5541626a97efdc6ccbf1e1e5c7eb93609dad4de

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=sha256:4d3ee90bd4488d5ca3e1984586cc0bdf5d80192902b502919366c200a0f58e40

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=sha256:1b6683b6687cc5f20957c4fa3bb6f0f8128ff8406630c31d280be8ccda29f454

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:dbea91a8845da562ed845482f794e0a12b16ec27ece108669e902ae4449f6edb

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:bd1e33371fc77e520b31a698cda117d31b93892838736c6490d01b662bc49f53

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=sha256:0dcb37dcbcdaf30d4da624dc0d7d1195f7715ae84df8a3b65cb5de7ac01f2704

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=sha256:3f19f4fe44935d2fd66b22695dd813c2e8b0c6b985f87daf18813eb54478c892

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=sha256:168dbfe8cbbc976e99a08a7f37fdb543e4e1d3eec98afae41d5e2ebb490787c0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.692436Z digest=sha256:cce788c1b9e6fc65b3d6ce0b082bc5f4a4942a99fe64d6294320e42bec098d57

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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raw_fallback, observed 2026-08-08T12:16:46.703008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.697969Z digest=sha256:b188e5347444b9229a10803526a6a50653faa6f7b544dbfbf802dcd2e2e5288d

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=sha256:587a0c68e06f6c3eabd84b20e2835a50371916ec485735aac5753449ee41b761

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=sha256:6d0e5b7a4255900438adf211dbdd97c89b90d7b762176e60d5d77393f42fc266

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.712409Z digest=sha256:bceb97b3c3ab0d64256747c90890e95e26fa095c5ee05f019d82408424e11a96

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=sha256:13361c0d33f7d726d3c544243e3bd4fd41e55a58ab2bc270ba72ae54931ece64

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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raw_fallback, observed 2026-08-08T12:16:46.590406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.721069Z digest=sha256:684fe9e8547b9687aa27e68e01bd405ebf655a4481349746f48c941b60ad31c6

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=sha256:0eb09db0093c78afbc6cbbbfe0ecbdade56ca454b28567623a07a300af6af160

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.729363Z digest=sha256:78778ec9cd9f5f9be1121cbf05ca59df3bcf011083730bfb7cc475e94b4ce655

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:c45ff2c740ea08591c7e2d6681170865b12b98e75cdb472c34527063b9b553af

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.737319Z digest=sha256:99c2beaf961bf5d88591c4361b659508beb7ed2246c6fdd75f78718e53fa969a

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.741315Z digest=sha256:483f385a6ebf81d6a02b8cb8c39cf8b2fa897dc2daf42b0c37d2479cee6a397e

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:d54008bdb22007c666256e9da82ea2ef4bcdf3c9a6b34169df55df08c6ba3819

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=sha256:42b2d6720686079daa65dadc743af71c9d6803958bffb01004483f009cb44071

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.754532Z digest=sha256:fb37329aa1c61f36b3bcecf5587be66136fb205746e307810c3685ca7f2400f3

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=sha256:8ce0f3e2c1328664a7fc82961c3db0138fce9a396265b18de222d5436633e7a6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.762524Z digest=sha256:b6be4e8f0dcbbec2c0260b6213509851dde6ac5df6fb07200d81651c9c54f2a7

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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raw_fallback, observed 2026-08-08T12:16:46.336570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.766419Z digest=sha256:99080f5497ede6da095563f2c4609735ecf31546f959366ff3c5f29d5414e8b5

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=sha256:2cc1c85eb1238c6e89aabcecb0841ad73738f907034ec541fbf7509698cd22e9

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=sha256:1550271ade99c3da0dc6d1c3cf602f974f0a94aa3f9774664788fdf2a747f74b

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:c1bacf895de2c67eed8377946eae7dd1604bf20b5fa38f1321ac085e7a9649cc

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:d00fa82b93cb3a2f1a933cd88c6284dda4e01f1a4b55228c733543bd20c69751

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.787491Z digest=sha256:2d77f6a4bba16b24c8fc1c978ba7d02e80c8996d86b329adf559ee2cf14f0504

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=sha256:870db9917e608e928b6b0781ea19e00bd17ca51c81e96a1558ad9adca5edf7f9

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:d8c5b65a5a1ad364b4c3d1e22cd7c93989926c321ec54899c9dbfc231c5e6af3

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=sha256:4a41784bd653fb1abb98f95b510ea8211afe3a693fd802b55c9f2acd653da17b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.804549Z digest=sha256:a7622e9ec747bbfcc7e6591a94eb3b9af46edec7f41a1412f4034c48b137d18f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.809570Z digest=sha256:2ff5b0f49b93f4833b4785faba514e56b909c8cb3d0218cd4720e42c7232a1aa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.813364Z digest=sha256:b97803b3d45cda4f39cf070ffc4c6711ba1350e4647a94e107bcfb4280c431e6

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=sha256:703b0c003321ab871dcf17f94e1809a6e12c1624ce159b574740d5e374f66867

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.820695Z digest=sha256:35604125ce3849df6bf2b1d7de7458fa6b2b779c8454b4a2ff7de3aa7737db47

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:d10f98a5e77776a16c083f8aeab7a2c388603fea8820faf5f9ea936b8be10ae9

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:c432835c5ea9f20d50670d427837fe6e0e4c21b05597c561554f5aabb305d81e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.832844Z digest=sha256:f041f5db8dd9f61b7c71c7aabdf5ec937f8e8b47c11127f3a47b00dbfc8f02f8

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=sha256:0e43d6469fbfec21c3b83d77e4ce588db6a329e018097a19e938de5d4b899976

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.840573Z digest=sha256:b80c075928179e74958c4d295e1bb9844f7cac4e866b44a615aef4ab3118ce7a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.843619Z digest=sha256:2d1eb39589aab7bffcc714b59a07fe1b5a3b4f8a0a5ff3615bb3254c06a57beb

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=sha256:2c8b2d5f0d68b9e7d035c960ba46b7b5ebd1defbdace6379b40bc420aa896e3d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.853334Z digest=sha256:b3aed5b8f66fa1a4aabf79a2718438fae93fde0a5ce82cc015906db9cb5894ab

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.857239Z digest=sha256:546319f8f1b02718c23282b85cd12a8f2b84b3575d5478b5382a268e1dce6fa1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.860993Z digest=sha256:f07cce49cdf8288eb4767d9486cfb90760fcdc0ab22f48bfdf98a141cfbf61e9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T12:16:44.864845Z digest=sha256:be331a4678d39ebc35892c5f0d921ff63348ce9bf0f634f291da4a213266c7ef

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=sha256:32ec71472f5aa4a6e541a66abf39bdaf0ce577f87647bbd4c00aef898e5a639f

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=sha256:352b1c47eea45423cc71c68e93dd8fba5175a76b3fc1feca138c52aee041733d

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=sha256:181027ce55786170d11e61121d422a0e7dfc3d9626b66b4f9204d57293de3be0

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=sha256:3c3ce862a011eefdea67a125aa8b817608ce3dcd6728edef0ae8b11f6ecbe20a

Pith citing papers

No inbound Pith citation observations are available.