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Paper Citation Record · LEDGER

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

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

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

pith.paper-citation-record.v1
2608.05485 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

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

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

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  • verified fuzzy26
  • unresolved34
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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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.625731Z digest=sha256:5f831a39c98a562d2572048ca23915771d9058ee4adefd0a1ddcad48eaad1540

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.632135Z digest=sha256:a22e5250b7459762857549f24ae47e2dfdd349b718ec4756e0f70190e61f588d

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=sha256:0795e275481f8f3603a342123e4b37f7ff7a6a50b3a4b197ebd23ff24c4e9fb7

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=sha256:49140a314f5926033ed16728621d1a77053dc802f93ceb7f00d5baee296f4054

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=sha256:0fad3b92d49652471b9e9a1cfce8ce8b70ba2be1803c277406cb542af9a9d26e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.649217Z digest=sha256:cfd18abaa2442c14f26e31ec02fce261c050cc6e9367ae558b24aecb3f2053da

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.653181Z digest=sha256:f7a7e2835b41b52cd288d290f00584ddd5e4299757645e2c5e894fba665f0651

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=sha256:630a368f0bca28613a5595f5513231064de9ee79c1b296768a780a65b44edcfc

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=sha256:91aed56f3e05a4004488dd4296ca986350e82ea7f2d07fc8c12b0688ec77fe01

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=sha256:0bf9da39e33104b69d857ba6a4b5dbb9a4efcf9c5d74fcfb06cacabc7b7761f5

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=sha256:350241301f944831d863474dd198f74a9aeb3ac9eddd53d0781234041555d53f

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=sha256:1fc99b274e85adb5a7d46954566df12ceb1c8af10fe893a43ad43ccbcd75d540

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:f1f5de38d4b851dd78a66a64137ccceaf1eed907649372bc4d3c5a88a333f4d5

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=sha256:7111c9446343f3e6e9eb0985cd23aa92b9226fc25635fb57762e6ef09c413a8e

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

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

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

Reference 15

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.692436Z digest=sha256:523e8a6b2d82d698058ea586263b73fd516a548889aef6c6848d28d9a4d1362b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.697969Z digest=sha256:f375a737c44973e3f94c14100f064be254ff96e2110568ad00a1868e1e2f7123

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:ebc73307dd48502c34cccb5a594fae332c79ce6d280dca4469153ad887df92d2

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=sha256:2eb716f5b6c93c5532183064788fdf964f830d15c043d72848f7fff166de3000

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

source=pdf_text observed=2026-08-08T12:16:44.712409Z digest=sha256:4a7dd152a4423071bfece53f3f1ceec788ecb83d3fc5257eb1f28074c7132a5b

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=sha256:6a82999d276bb5fc17adb3807115fa714b394db26dcb16117ef75c55b93d20b2

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

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

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

Reference 21

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.721069Z digest=sha256:795000f17f5404714526c4a9779fee23855d66cffea2c6dc694fb73c48f29dfc

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:c5e8ed04b4443c316a1b84384f06931259e46968d8b9403defbb1d89e49b03ef

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

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

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

Reference 23

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

source=pdf_text observed=2026-08-08T12:16:44.729363Z digest=sha256:76f94449dc52ba8ea06affc0c13be340d980e6c9d30256e40c3019ee50470fd2

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=sha256:9d92847756200732780e2e468864e7ac2b570e9f893158e931959743702f4fed

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.737319Z digest=sha256:22687bc6d30014c180e93e265e76a442553a629873d170926f32bdaeaf29cf6e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T12:16:44.741315Z digest=sha256:28db48d19bd970b7f284c888112b7d4cb39449b4c5b63b2e7cb8d591cb530151

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:c89b3c4de75e6e0304934c765e0a175d6c8ae838bd2e186f89d22f0f5348a6b7

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=sha256:15e181d99a4042f4389d7823a1c31a4e22cf7ccd827e9d12321fa6148ab3335a

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

This paper cites GPT-5.6 system card, 2026.

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

Reference 29

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.754532Z digest=sha256:3994dc26f7ccb2f729b7dc4d8bb9cde5c0c51f1a1b155cf313d980c3a3776c35

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=sha256:5e88b3cd74ae568fa09d3bf0158e4ba6572fdd4340bf46b417cc608d7ece8577

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

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

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

Reference 31

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.762524Z digest=sha256:1db353e756fc52ca6be33cdd317567eba21adc41b831c3cb9d0b3f8526caf7d5

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

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

source=pdf_text observed=2026-08-08T12:16:44.766419Z digest=sha256:a7f0f5eab1bd13aee8e092ea3bc193b6b4bb1e31c2ad4a99379224c1a94b3bfe

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=sha256:0256394c9535066ea3ea7b46e3106cca10acf568a5a344c46920086b7bc53be6

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:f5b9d28e0076eb83879b637797d5bc396d443e834876dac34196ba973be7d205

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=sha256:584e587b935c73f57716ff1bfea84d4bade8333e68e132e4092486c864252348

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=sha256:19584ab8db277908154e1f5b3f638c0668261585737ca2c3e1820e04c6a7fc03

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

This paper cites Gemma 4 technical report, 2026.

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

Reference 37

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.787491Z digest=sha256:16abcb19320d4581f6a1eef7f97e1d006ebbad164990b5183fce1250309c684d

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=sha256:99146444959afebd4007ccd5b7598b1118a977c7178d92d24a2d7e640281a4b7

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=sha256:246f1edd2f70db90c897b28c741541e2d7734d0aa58535939f4de824d10bac98

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=sha256:6a0ee170983aea7115f82b62064215527b8f728b634cc7770c01f951998b11b6

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

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

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

Reference 41

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.804549Z digest=sha256:a2dd0cceb3d4440283b266fba7be233a4f03c9864a6f2f360466efe9e3f92b45

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

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

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

Reference 42

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.809570Z digest=sha256:c94306e9f3d33c88cd1bdd3c9f0611da05706cb35b6835d0b99c56030ee61ada

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

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

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

Reference 43

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.813364Z digest=sha256:e0aeea2727b0595054ca8c634111bde22421c2dbde4e6d9b9e61679d47d7f839

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=sha256:251066c61e1da1acf8844237beccf1ecf815ae54f3c02c8568c909c1a8ab1fee

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

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

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

Reference 45

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.820695Z digest=sha256:e3f818cb2d428f8c518bfec4a15aee8ec93ea4b32e9aa82bbb00ceba9d207351

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=sha256:49cd195c9e0ef42f1807cb2b70e00aba96ae09efa348253092d2e24e4ccbfe6c

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=sha256:43b491b6f4826cdcd37b12a39dc2beda8b4d4b7e328dd6e5927f1f37894da45d

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

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

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

Reference 48

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.832844Z digest=sha256:12662d29220c046e6d6ab46934a657c2e0c60a7d2c19d610d8bcf83b7caa4b2a

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:c96273ae5fbe8236da868e9c30c8318488d638f9194cdd865df68ba18ca4ee17

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

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

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

Reference 50

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.840573Z digest=sha256:77b09b6e33fb3a5a1bd6fefe6191a9851600d14abb22e73e40f185bbb2eb521d

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

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

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

Reference 51

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.843619Z digest=sha256:0f0530869f9d74c5bf01e9474a3d28d92af9bf79ee98aeb6ba62a396b100af0d

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=sha256:2d99f800c7cd3ed0a5b981302251ef271856ba02420fa6633a8e32d828359491

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

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

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

Reference 53

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.853334Z digest=sha256:8250976bbda115f3caeee571323ebb7f1b01ef967a5bed8396183af9745dc0f7

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

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

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

Reference 54

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.857239Z digest=sha256:47402986b154f83704954060fc9fdbfe9836953cd63dea1abc8d4261fcf0377c

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

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

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

Reference 55

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.860993Z digest=sha256:c65b3b4f94f6bad6524bde556b5dda88fb3d6c31fe2d982dfdda29713d0482de

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

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

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

Reference 56

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

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-08T12:16:44.864845Z digest=sha256:27ce77567be07852b10e2e0058e539a919cbd9a27e14a07804aaeae3b0564c35

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=sha256:61bb5416bef09102f4e28e53f1414130fdbad5c2fc9eba2aea6d87af89e895b9

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:adc115df41277a881fdd8d46db8c758b0d65c82a5b357b4548e878937fc2457f

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:f7daf481ddcdb72edf8c711229da4480a80fe28a72de84db6eb18cd49411f540

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:c2553c8d74b1750adf0331e1fe47ca77734c8bfccf8903155789d254b7a2ee2d

Pith citing papers

No inbound Pith citation observations are available.