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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
  • metadata mismatch0

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:b5961ba48808a54cb1b9000e4e546c2a4095da24eb542a0a526c564d978f0902

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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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=sha256:3a254a5b1e2b45cf4ac0e90c94d6b05ce185e3dcdc890477b219894c979fa89d

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=sha256:207af20ba257cb3ce9e25d62b6b5d1fe5c9e84f7a22abf4094761169d7e9e12d

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:a2cec5e82fe83b192bdd588fd62e6deb3df9adb7c02e9b5080db02c22afdcd88

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=sha256:1961a9862fb3f56b322dbb79d4632b7cdaeeaefff0f26433911dc43f4eab6857

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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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=sha256:40e064eca1690759e0788c87824122e37b5ce05a1d512cac18c26fc9b30e2320

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=sha256:3ed5b5b1f37af8a42f5709480fb12828ba45a59d2564c64153ebbdc98603739c

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=sha256:5fbec84cd8b14b1fb0f96ff4f9e5a1bc39de716a412df450a37cc02b99884ea3

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=sha256:7e3e1301d629078e2f8f1719a5f17d1c21cae097ab358a61f3131226a8b98b8f

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:d5b5cff4a4862d27b80d33a9801bda55bb449e1d2ac940176858b3a9555d65da

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=sha256:9918c24b1752c0ee75e3462224c22b5270e17b6a97724e35825871218e902506

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=sha256:053246c82397f359c09e56bdf244a645c9cb034dad33f1bb6c50a087667c65cf

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=sha256:1035de620e7f3fba2702bbfc10e79f848f3a40fbd959cd02cfaffc2375c4b043

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=sha256:2c219bea18bc1ba060a0c1b90ffeb34e44ae284c4bc127e77217780e9e1ad59c

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=sha256:94fec44ea4c9eb936272929b91c6f1dbf4b6b17a4f77acb1f0aa181bd589ffcf

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

source=pdf_text observed=2026-08-08T12:16:44.697969Z digest=sha256:c0426736e7109e53c3c37a2a0ea713143a744f5e02d261d113f5c5fe6aaeff4f

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=sha256:22215433dc1203aac2cb107d8b0054559ef47113a813901b8156e7f7a2a30d82

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:cc7d38eb01212d4bf548012e9a2f5a1a827badb627f0eb288f7d21226ac8a77b

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=sha256:6ba9381512119543ddda0a47e91a4b105e91188aecc7ce646162f08b6921ad85

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:b22724890e63f28ebb1ddfb593983dc73cd74135ab9951d197a926740af0691f

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

source=pdf_text observed=2026-08-08T12:16:44.721069Z digest=sha256:79f9e1f2e4f9a3686d37708f24fd8735affbb747ecd8558347bb0e37ad2f09e5

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:de08cadc3aa7986e64aca5eb7720139f44eb5566280ac3691d2770da7524f27b

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=sha256:4d7cfd9a8aeb78b65b09dfc8b8beccc5230f0f4abea44977707790330b8454a5

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=sha256:2a97ce723d024c4383e3cd9303b0de9aa5cba2f0f31b31aebd6fc14407b9850e

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=sha256:9c6ec7563f94d52d3429bfed9b4215af3f3ff659d6ac44c0990ea12dc5e67689

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

source=pdf_text observed=2026-08-08T12:16:44.741315Z digest=sha256:aae44bdb85e2471baba93f8924c29be0ad5baea80fed691f36547d78a5fe6c99

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=sha256:4b4192c13a0e6270def363d0090a3eaed7e12a377e56f597131372ca4cc8d88d

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=sha256:076109a3a0041ab342788812a96c7fb6e343409fce0f037906e1b2c85dd859e4

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=sha256:6f20115fdce0fc92beecb518037e6cb1885810dc8235a80e50bc9f63012164c1

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=sha256:11cb37f89e6ee9f04d1b70fb24147b9161afa0c894e6984111d718851afbc8a2

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=sha256:8f9bbf82dc9ce704c184ed5cc4a0753c7f16222314d594095c651b6472122df5

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

source=pdf_text observed=2026-08-08T12:16:44.766419Z digest=sha256:49d6b49d002248dfcfed6a46b8c537bf472f58035da77891f7047ecb1a791b2b

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=sha256:53744b62f230dfb9f4374d59c0d784347b41c121e2f9ebdb70bceac6b8bb3f7d

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:c1b71ec79a24621a1b6f0b4479516495bd2ccbc7cf1a2529005a9de39d27160b

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:adb895ac393ef97a0bc4e6a1f3cb114e6d1511d2e0fe3c2a7b7e8cef08c0a9fb

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:dd7c8de0c79d157a9d08a488c4d502850a2418a649fb0dbf8ac4fb8d266edd28

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:a22c7172bf5d3c00664afa0a8001f0b71f76ec89c9c1c11299b355e06da73e48

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

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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=sha256:1477a1ef5b3c70bf085aacc9ff035e19acbf22978a0eb43b8d2f2f3949d517ad

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=sha256:3fd14c3edad66a140cfe053dd60f9f5fc07eafcf1cd093696e7d0314f75d2bd1

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=sha256:84c72c7708444862259dcd1240d9ffb1d536c06b6fbebac0d358f43c01857052

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:c96c827b14a8ac9febcddd40c6ba955a9e5770822f61057ac5f335385c480fd8

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:b931a278a6027bbea7020fc71eacf3ac8205411e97c9fcbf7d993366af154660

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:aa1af964399f14211fee33d9b98c4c7fd3fb5c36c73ff33eb1555a4305022677

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=sha256:6b0ccd42dcb8b53ed8841d33496652d527bde8fca4b734f18374669106642cb0

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=sha256:002a6b0ef32cce101398f31cb9e191fc9029bfa9692cd6b2eb69ac5d99e80ee1

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=sha256:8096de8536c72f31819268a02c5d16814ac07a9da7aefb6a233a497710ee7088

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=sha256:81755d0e48960568fc341ed7c809c73445a94ac078369cf3d42eb8a27a96d278

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=sha256:7d4a76dbf048b612ab80ef4726e1f6c2550fa7c2b95f74608468f1f135754aa8

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:deae0ffd9cdfb9bfa1d7c14be4a109f9ac2d7d27627b25851bef9ef63ba76202

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=sha256:21d50e83ac61d3090d4e647b7eeed15e8836e0011623e4a45baf0f31d93e9555

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=sha256:998c2175f1fc09469989a5bc7b5c0f4464da42346e5e3a20e6d31cb0c63fce5c

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=sha256:49999d7a5a9b71fbb9efe2430280a1d1b00113828738019f0890cbae61846832

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:f58b117bc7263f9a5b10093d2d78d83910795bf67a39ab20b6d018248bcd0f65

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:b115e13f8bfb694775aeacbfeffd88a94e6ee45f57a6c96546db9a7c10b2de5c

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=sha256:49314c5eaaffb74d738a19af791f8c5230a0df77ba6aa6c823cf77a03daa0903

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=sha256:5cd966a607b9c19bd3ce92ea07547da3256ac84f8a40424ac1b4448499358d68

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:b64d53851b3a77213c95ba561bc01df7445a013daa9be82f65467f3a6b60a8b6

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=sha256:084bf67cc63bcd85425173c28cf20f48c93accbc66ea4400c57b46f87f577e01

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=sha256:0aaefefafbe5fcf4de3cf21e03b7d357dc3fded6544bf1b8c8e3e34fba43441f

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:d6e38287dd00d57e314272c0c7a062b0018964e0f50fc85d55044ff729b9ad0a

Pith citing papers

No inbound Pith citation observations are available.