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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-10T06:31:04.303077+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
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  • 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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.625731Z digest=sha256:10dd06ace414d121bbca882b800983184ed946730395ac58bcf3a7ad5b459020

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.632135Z digest=sha256:15e8a5d25e2b838e3a21930b0e9033ac7461561ae3d352a9051e37129b26dd2f

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:e56ed4ec2578306cca626e433d614c9c3c34fabff61a367f165d548d5dde34c4

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:bac49d8e9686547dc942bff4d2ac9521103c16b0e8223bd7bce73183e0de0d9b

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:bf636dea80f87a86b85c2dd01e5637e88d303389e4763fc4cd2f14f87641a114

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.649217Z digest=sha256:f5f1f2aa9b36cc4795007a6194d744c958f4aa47ada4e1655ec0c41848b38272

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.653181Z digest=sha256:47ff726b2aa9486f5dd41b6b07a4aa7b44bbcd820128d5d303bbec896e3c1c4d

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=sha256:84948f4261c45ad3fd73a55afc330c12a5cbcdfa369c7b0e0d22b26fbdd9833a

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=sha256:7d0a323399f04b40e869695f66be2f3d3dfe02f2ee636732ee6cc015138e1c6c

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=sha256:8bd7e383282d51479b883f5e3a03a05ab0c23767db3fc01b43dbf13b0079d95c

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:bee20382000bcd02d298f9f51006c08e4df3154429d50dacc12b40a91892d00d

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:be2af23e6e6383d94181b9aeaf5aa7b446d3420c6dddf9ed02925aaa0fec09c0

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:eeb44d4cc2f507c5317d85ef4fa2ef6950191ea8ac80a3a0a4f4a54d8b6fc877

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=sha256:912d58b992e31ae5f396064bbb34918c23956e50a27bf7a1f823dd74586c85ea

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.692436Z digest=sha256:cdf125ff120169760c1864bb2abfe4916792f517fb5866cd2104f37dedc15933

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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.697969Z digest=sha256:e61a4684d5ab3a76129523b62464454920f615b24ee220133e4d50f92c55bdf1

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:e624bf8b5f31aeaf402afcb14a8c1d80cb8aeaacb6ffd4591198d775dcfd67c0

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:be37fddf325fff127f844acdea3a5f9237867ab140c721dc9bb61bd34546f8f8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.712409Z digest=sha256:6a6fc9bbfda256e5afa3ec3e0669a4bc6c3abc0b2fe13855e709824f8ff49b48

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=sha256:31fc67e0e4090e2638356389394b766237e366a710c260bceebd78556533eaf8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.721069Z digest=sha256:6a646ef5570eef55b47dbe2796bb18bb8fab4a23d02b407abb0b5b95a97c6f89

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=sha256:1b9fa66c35e2099769e1aa53521962daf78a44b024201339d5b8686160a29e1f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.729363Z digest=sha256:5f6ec60cac67c199edc78ad82940dc6d026bfe2967540aabe65ab0347cba7540

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:f3ddcb7096778070bae0c4bd52faf5bf5916b17334f226fa681f562bfb07e4db

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.737319Z digest=sha256:0bec2ca825b1d6db7c7ea2a40585389cc1e389f00fd795ad810a049156465f46

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.741315Z digest=sha256:4809b2d08bd5402618c2e4e940edd362631d15bc485b736af566a04c458faeaa

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:b5b1b9d01e9ce733326725a11f5d47d690f17d0e953ada11f677ed3bbfe6d301

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=sha256:0072d8f5103698fd0c5e278ac62ef75801fbd8a0b32b58c9ff0d9c1ad3886479

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.754532Z digest=sha256:1313f7916811a5c802c44fcb42f74880bd1d1cc8796c6de9f3870fc1c949c2c2

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=sha256:8ec3b2102ca0833b2c37d2cb464805202457a8fab5a3e63f92508c2fc1184bee

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.762524Z digest=sha256:abdb5fbcb0c07fc0d8b00f155ddd3363367e23eda7ff6eb28d14267e0e3abbba

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.766419Z digest=sha256:ed4dff533f3cb2517cfc90d8ac6b8eda9960bbbf37c0ea6e37c11f5c5ac6f5d2

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=sha256:30e003128fc1b9d08cd00d737e9420bf2448a8c700a8ec698e90ea5b5ebf7b95

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=sha256:82fa3e655636f6fcaf9ab110f8743a2d217b3c695b77340ea7adc86a10098fd4

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:f4ff4869dc1d6f092fdfa5d76bc654e86fd2528268f7baf611149300ddb9b491

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:e3d8c705acc605f84e96d88d7232039b57a7d179f7438872868acadf8d297842

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.787491Z digest=sha256:641c4b83355f7ff97daf1e58f7ef7db42a26eb667fa72b28bc55c3ac5cebe5f1

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=sha256:4adc450cfddd0b9e6c1a88c88c3025503a5efa6432749e9e5e5ce9102e24492c

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:c93a7e451f8cbabcefdfcff85ea0d23aea61edac1e8c1405566a84766259139e

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=sha256:3b2176b7bba3c2be5e68ad528d534d7e99127fdd0e4fd7b86bdaf7bc70ca79c1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.804549Z digest=sha256:dbb0c62c57a387922d20b0a480b97357c79f3cd7423f7d8e861f163c72244027

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.809570Z digest=sha256:5e13915b921f679681139237ef383fec84267a4cdc9633c76e3de4e7ea3d723c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.813364Z digest=sha256:fd21c6744262c03d17f312d0d597d2d6df2b1764bc7be8c55a054eec3d64c5e5

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:aa7ab88d6fb7e84af2d08c83cb94999dbd2431b42b080d6d84cf784bae2d483d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.820695Z digest=sha256:0d7ab046cb171b657b131f3092f9198c710ab88644122dcc19ad5792e753deea

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:b05e3cce9037573c249615d6f676a7ab085e337e79b7a544321309b3cead76ff

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=sha256:8789799867e86c1d6205e7dbe894edc29fc0322ee9c1de295670339ae956f84a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.832844Z digest=sha256:931c30fb3561d381019e382ec2d7d2908a9552d5ac5952e7dcb34d9f9d195b71

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=sha256:91482ec7bd1ccca7f2f38f1b821312b816d46c0f36ccaedff817bf2930b1b68c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.840573Z digest=sha256:4fa856f92adb09ccab9224fe5c1afad72516bde58236a32a9f59bc145eb4d9de

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.843619Z digest=sha256:bdad65357ec50e3d788d8e1dadf00ab7ab554f344378ba742db718e51e70e815

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=sha256:595a07aecb03bbb46e5d3fea3be091fadd19bb53aa595f87729bc912e21fd301

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.853334Z digest=sha256:ceb20700375168f485261d0281833b615c391262711457b7ead628dd969f5868

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.857239Z digest=sha256:5b3aa00ea57b2f029e8d680314c0c79a0448f755f811801a7fbe734ea2af8d4e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.860993Z digest=sha256:3222b27bdf3c06fbe283f2a1d551f293b8f18e99973e766184c759a5ace9fc14

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T12:16:44.864845Z digest=sha256:dc35fcbc5d7d45c627b6cb021d916fd4246ef1a0cc07746833619e16414bf772

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=sha256:5206018625ab08cd2597c1eb82340ce2ea1a7656f6e0b07b7d804650690d9a2e

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:fc02c55b2b8d1cb919898be22e13457b51814b7f5d295a54c18692f8fe59a778

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=sha256:45c56a518efaa3b90a998175f0594570d92cad04e63ad8e6d10a326fc788ebad

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=sha256:74ec512be049468bc0b876df0dfe373214a0e07bc180209cca4ea338bf814dc1

Pith citing papers

No inbound Pith citation observations are available.