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Paper Citation Record · LEDGER

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing

As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2608.05049.

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

pith.paper-citation-record.v1
2608.05049 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:34:42.436470Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d3d4a54-6833-4c59-a995-43cc7526624c · outbound

This paper cites Scaling instruction-based video editing with a high-quality synthetic dataset.arXiv preprint arXiv:2510.15742, 2025.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Scaling instruction-based video editing with a high-quality synthetic dataset.arXiv preprint arXiv:2510.15742, 2025

Reference 1

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source=pdf_text observed=2026-08-06T10:34:42.160944Z digest=sha256:45e325d27d7215ff8ca5d33d05962c8bf6f1544f9cc5e0fc4839ec80a9d8d5b3

Observation d0aed58d-8847-4e1f-9b78-9d6e154df486 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Instructpix2pix: Learning to follow image editing instructions

Reference 2

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source=pdf_text observed=2026-08-06T10:34:42.168101Z digest=sha256:77e465767208db6d038c8853e9fce5ef4264478c1fa2e3242076ce8b9b7317c3

Observation 3248012e-f924-442c-8fd9-f5ae94e4626c · outbound

This paper cites Anydoor: Zero-shot object-level image customization.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Anydoor: Zero-shot object-level image customization

Reference 3

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source=pdf_text observed=2026-08-06T10:34:42.175141Z digest=sha256:55d885ce9db835f7d2fc585852a59f7b34eca3ed6a92adbbeb80c52a4b59f761

Observation 751deed3-846c-4ebb-ae84-a36b2a960359 · outbound

This paper cites Unireal: Universal image generation and editing via learning real-world dynamics.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Unireal: Universal image generation and editing via learning real-world dynamics

Reference 4

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raw_fallback, observed 2026-08-06T10:34:43.902237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.186546Z digest=sha256:f1de6a988da5dcbdb632d84f5a86f12d6262f4a77b5d33d8da71c37d650cfb88

Observation f7c5eef8-ebd4-4901-aa61-a5f37e59ba85 · outbound

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

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Ivebench: Modern benchmark suite for instruction-guided video editing assessment.arXiv preprint arXiv:2510.11647, 2025

Reference 5

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source=pdf_text observed=2026-08-06T10:34:42.194369Z digest=sha256:0999d1248e509c16bd2110d3fac32b372038da0f3dccecd32c9729a497f3a74e

Observation 86727b83-e394-4254-bcff-8448dda4d872 · outbound

This paper cites Editboard: Towards a comprehensive evaluation benchmark for text-based video editing models.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Editboard: Towards a comprehensive evaluation benchmark for text-based video editing models

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.200216Z digest=sha256:fd086b941ed956a3e2d0f65d107636640ae5d5269f825917c92b487a885ff2a3

Observation e485d5ab-dd59-4ee1-a47d-2a71a16f080d · outbound

This paper cites Wan-animate: Unified character animation and replacement with holistic replication.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Wan-animate: Unified character animation and replacement with holistic replication

Reference 7

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source=pdf_text observed=2026-08-06T10:34:42.205665Z digest=sha256:eba8e1a416bac38edd3a0296e5877622dd91f5fabcf887a2fc6525d75ca0e952

Observation e31b5ca5-0363-48b8-8f11-ad4b940fe214 · outbound

This paper cites Viva: Vlm-guided instruction-based video editing with reward optimization.arXiv preprint arXiv:2512.16906, 2025.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Viva: Vlm-guided instruction-based video editing with reward optimization.arXiv preprint arXiv:2512.16906, 2025

Reference 8

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source=pdf_text observed=2026-08-06T10:34:42.211770Z digest=sha256:9f51e68d7f957f28e055eee0f0b3f75bf5fb4922fe6ef7e28c3ab220abb7d4b0

Observation 954ef4b2-db87-48ae-a70a-6ee9660879c8 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 9

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source=pdf_text observed=2026-08-06T10:34:42.218252Z digest=sha256:994047df7ea884db009db187aaac81f177cfd2264ae3765213423480bedb49a2

Observation b59d8b1c-5ee0-4a1c-99f2-fe329d646a3a · outbound

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

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Openve-3m: A large-scale high-quality dataset for instruction-guided video editing.arXiv preprint arXiv:2512.07826, 2025

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.224741Z digest=sha256:3f4138451f5e6606a64d99166e67650ca074fe70bf82b95be56ed31f5cc967d6

Observation 65b7d1fe-ad68-492d-9c7a-28a1dfdda58f · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 11

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source=pdf_text observed=2026-08-06T10:34:42.230863Z digest=sha256:7defa7970bf9ab3080f588616406512c2887143366ac7854421dc652aa30271e

Observation 205b51f1-8ecc-4b5b-a7c0-caf6bbbea113 · outbound

This paper cites Clipscore: A reference-free evaluation metric for image captioning.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Clipscore: A reference-free evaluation metric for image captioning

Reference 12

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raw_fallback, observed 2026-08-06T10:34:43.849231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.236409Z digest=sha256:32316d4fe94f2b0f4c9c97f29188dfad1c5924debfbf17b798bf828e96303e40

Observation bc5d1c4e-1705-4178-8ec0-d931a980ddd5 · outbound

This paper cites Denoising diffusion probabilistic models.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Denoising diffusion probabilistic models

Reference 13

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source=pdf_text observed=2026-08-06T10:34:42.241324Z digest=sha256:3c95c09eb147b563b8f845f96b3a952fe1649ea5647d12eafc16f3a357d7850c

Observation 619bc456-c68a-4177-9c0d-8640e90637dd · outbound

This paper cites Video diffusion models.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Video diffusion models

Reference 14

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source=pdf_text observed=2026-08-06T10:34:42.247039Z digest=sha256:fab1c60e7e16acfd8d514e28fc85e1e1684f61bab1e9dd2cceda248633933b78

Observation 104df2ec-e11b-4213-8eb7-4ae911f5832a · outbound

This paper cites Image quality metrics: Psnr vs.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Image quality metrics: Psnr vs

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.252154Z digest=sha256:c18c9dff1748c3903d2f146325bc40f359725a73749da7ae44877eb4bd31ca55

Observation f488f162-a02a-4922-9948-bf4e2c2cd97c · outbound

This paper cites VBench: Comprehensive benchmark suite for video generative models.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing VBench: Comprehensive benchmark suite for video generative models

Reference 16

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source=pdf_text observed=2026-08-06T10:34:42.257006Z digest=sha256:0fa898be55699c06c9fb4a660d93e27219939591a57b8c71043ed122180183c9

Observation 2a10632f-24ec-4ebe-8e15-d88aada0e913 · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Image-to-image translation with conditional adversarial networks

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.261466Z digest=sha256:f0f1e2ef7b45dc604173567763d1b260c07238019165358d4a8d6ceaf46cc39b

Observation c06688bc-af8f-4b50-9679-4669715906a7 · outbound

This paper cites Smarteraser: Remove anything from images using masked-region guidance.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Smarteraser: Remove anything from images using masked-region guidance

Reference 18

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source=pdf_text observed=2026-08-06T10:34:42.266985Z digest=sha256:fb0c6f6be169e3378b102f96fe65d15f4df67435f60d45267948c13f1f36db74

Observation 088df2b4-c64c-4fb4-873d-1ba636be3200 · outbound

This paper cites Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.272718Z digest=sha256:4c66aae84b32f4a104752024e81a2995fbabad7ab66d7a5d71fc7e6a612faf22

Observation b8d29152-0450-4279-8931-7ea43119e5dc · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.277776Z digest=sha256:dc3082b9abc8dcf23e1748d64f730d3c9a5cb53ed5544dcbb5d6251c138ee429

Observation 925ecf7d-9758-4416-aa39-d615911335c9 · outbound

This paper cites DiffuEraser: A Diffusion Model for Video Inpainting.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing DiffuEraser: A Diffusion Model for Video Inpainting

Reference 21

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source=pdf_text observed=2026-08-06T10:34:42.282859Z digest=sha256:47f44408c903e1467efcf59ab3c52cc9162b829477d80619b03d1ef962ebff07

Observation 0f9ea042-7a4e-48cd-8d6b-827a25e181d5 · outbound

This paper cites Flow matching for generative modeling.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Flow matching for generative modeling

Reference 22

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source=pdf_text observed=2026-08-06T10:34:42.288789Z digest=sha256:73c568633f994bafa28e1653050b601cf04c731b029a652f05a59034e1d90414

Observation e624bf4b-2d0c-47f3-b7ea-67123db03786 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 23

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source=pdf_text observed=2026-08-06T10:34:42.295281Z digest=sha256:98e3f424a8612bd7a62eb23b2c1b9fdc945ad04c39a3a25936d63dcf4fb8409e

Observation dd549469-c9a2-4443-8d18-b6e3fca6d114 · outbound

This paper cites Revise: Towards reason-informed video editing in unified models with self-reflective learning.arXiv preprint arXiv:2512.09924, 2025.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Revise: Towards reason-informed video editing in unified models with self-reflective learning.arXiv preprint arXiv:2512.09924, 2025

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.301737Z digest=sha256:1cd8fb3e3959b90e287050b9b5f5eaec2508546b6a6c36a65b45433fe529bd61

Observation 701c8655-bc31-42b9-a13a-f5c97f89ae87 · outbound

This paper cites Rose: Remove objects with side effects in videos.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Rose: Remove objects with side effects in videos

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.306380Z digest=sha256:40d7192c9bfe74ef99157ec4143e3288ea9b2eac925aaee2e057ffb0c36c95ec

Observation 5f6b8981-a998-4952-84b7-143734298229 · outbound

This paper cites Instructx: Towards unified visual editing with mllm guidance.arXiv preprint arXiv:2510.08485, 2025.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Instructx: Towards unified visual editing with mllm guidance.arXiv preprint arXiv:2510.08485, 2025

Reference 26

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source=pdf_text observed=2026-08-06T10:34:42.312948Z digest=sha256:f90340d1091302c32ed778d4212a1742bd8a8ff9a89941517f5bcf3695a8885c

Observation 19e6191c-48d5-47ee-8082-0187cad30f94 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing WaveNet: A Generative Model for Raw Audio

Reference 27

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source=pdf_text observed=2026-08-06T10:34:42.320029Z digest=sha256:3b0d27432453f4c3cb07e1815c249c4803d022e98a214eddf7f673aa2879e273

Observation c3255327-7463-4e44-9df2-d31ba697c007 · outbound

This paper cites Scalable diffusion models with transformers.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Scalable diffusion models with transformers

Reference 28

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source=pdf_text observed=2026-08-06T10:34:42.327329Z digest=sha256:2061b941254b4ce6594755e1cc193d10b0f2cbfe7e5765094deab0e3dd9478b7

Observation 55969f36-4dcc-4d18-b9ab-8d70781e95de · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing High-resolution image synthesis with latent diffusion models

Reference 29

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source=pdf_text observed=2026-08-06T10:34:42.333706Z digest=sha256:ac3d8d88f3588a9520254ebef10537f1bd67771cf071536a63415b2303cc2346

Observation ced7556d-dd3f-485d-93db-7171acfe71ec · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 30

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raw_fallback, observed 2026-08-06T10:34:43.630151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.340644Z digest=sha256:aa2c3401269093f31deb830ba4e77c450aae1eb8a30bca6ed8f654529f9a0a6d

Observation 2f063f7b-2431-473f-b739-3a907d0478d8 · outbound

This paper cites Runway aleph.https://runwayml.com, 2024.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Runway aleph.https://runwayml.com, 2024

Reference 31

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raw_fallback, observed 2026-08-06T10:34:43.614082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.345447Z digest=sha256:57163ff92df1216b185244b051d2afc2bc18d8d4cf0f851e24ef8b3904a266ac

Observation 63d34236-73eb-496a-91af-3bdc89048666 · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Photorealistic text-to- image diffusion models with deep language understanding

Reference 32

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raw_fallback, observed 2026-08-06T10:34:43.593694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.352756Z digest=sha256:15b224a8420a02b1a119841e17b22ddf74ff040cbc4a7e85b1045c4c80ab9ddb

Observation b1095210-3e1e-4b61-a8f1-18d39295d9b8 · outbound

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

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Seedance 2.0: Advancing Video Generation for World Complexity

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.357223Z digest=sha256:22be3bc0fb5ac13fc459b4e603094b3d7cd074ba598dd496c5f7a69755f9932e

Observation 2603595d-64d4-4bfe-8c5a-8186492f6f57 · outbound

This paper cites Denoising Diffusion Implicit Models.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Denoising Diffusion Implicit Models

Reference 34

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source=pdf_text observed=2026-08-06T10:34:42.362070Z digest=sha256:6c8a18fe127afb2209a70d612d9fa0093806ed4dbc4ed08e94698fd9fe09dda5

Observation 8657c5f1-d640-43df-986e-9f1ae4cf2751 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 35

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source=pdf_text observed=2026-08-06T10:34:42.366827Z digest=sha256:dad40064b6876ea754cfcefd8561707299619f7494dd7580ed513dbde8539fcd

Observation 0ef098fd-b2e8-4091-9acb-40b97da0f40a · outbound

This paper cites Ve-bench: subjective-aligned benchmark suite for text-driven video editing quality assessment.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Ve-bench: subjective-aligned benchmark suite for text-driven video editing quality assessment

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:43.552049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.371360Z digest=sha256:ffec177b16d3d98f837b37a5a3986b279dd88b7f490c8475c6ddf1bf34c93077

Observation 4e3bde35-0935-4fea-9cfa-153dc33745cf · outbound

This paper cites Edtalk: Efficient disentanglement for emotional talking head synthesis.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Edtalk: Efficient disentanglement for emotional talking head synthesis

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:43.530173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.376282Z digest=sha256:438a76cf492b2a3e8f378ce4da17ebdfc5d98931f91cbe4ec5b42740873c816c

Observation 00933cae-4ba2-402d-98a0-749e3ba91d9f · outbound

This paper cites Kling-Omni Technical Report.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Kling-Omni Technical Report

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T10:34:42.381600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.381600Z digest=sha256:03b9404b9a028a4b75c1f4f96e892b195a855f271b6663a259e13c73487e4ff9

Observation 47358edb-0ed8-4e95-872a-1c44e0097c52 · outbound

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

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Wan: Open and Advanced Large-Scale Video Generative Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T10:34:42.386232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.386232Z digest=sha256:dff2bf695684d9f88c85a651a1dc71a236443f6c9f6ec18fc37574f5dce385b2

Observation 357ea080-a199-466f-87b2-9a5d2f6b5bb9 · outbound

This paper cites an unresolved cited work.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:34:43.511923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.392159Z digest=sha256:5db73947536ef604d450010ec18f81cd6be3d262ad04752770d5c68256248c0a

Observation 10f85d00-c887-4d7d-b835-3a774a43a6de · outbound

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

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing UniVideo: Unified Understanding, Generation, and Editing for Videos

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T10:34:42.397646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.397646Z digest=sha256:2fa9d9cf29fb1de79558d1c408b9134f8c2c032053e5485d8482b3c5280fd87a

Observation 577fb355-b99d-4f8c-9ab8-7b385cb32d13 · outbound

This paper cites Grok imagine.https://x.ai, 2024.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Grok imagine.https://x.ai, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:43.489188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.402290Z digest=sha256:de6f7429b90f8cc6311fbdcec7ec9ecaa6930645fa7c5cbd63270fb4a9f1308d

Observation 8add0f7b-4ec7-4300-b73c-e47b76329c5f · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T10:34:42.407068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.407068Z digest=sha256:52c499bad094f8d9553b4832b17bc3e56439367c2abe8901423f95e099d4d029

Observation 3652adff-3020-433a-89ad-6ebccd3270c5 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing The unreasonable effectiveness of deep features as a perceptual metric

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T10:34:42.412964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.412964Z digest=sha256:a9f761c429201434a9c7b7da2d914b922b248d8d2a410445b60ca6b706c2b6c7

Observation 79fba17a-de7f-497a-a309-47052f53ba5a · outbound

This paper cites Inversion-based style transfer with diffusion models.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Inversion-based style transfer with diffusion models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:43.452515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.417454Z digest=sha256:195d5c92167c33f12a8225aa2fdba947cc6cc7c666a0145de293a24bcd0f73b6

Observation a9ae70a9-910a-4579-8cb8-25e3ee96b58b · outbound

This paper cites Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T10:34:42.421971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.421971Z digest=sha256:b8f1f2a16996eaadb2647249e138d41d7b9083acd9cf54553a0c837f716bbbfe

Observation 87392272-502c-4978-9de9-0602cac62504 · outbound

This paper cites Propainter: Improving propagation and transformer for video inpainting.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Propainter: Improving propagation and transformer for video inpainting

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T10:34:42.427436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.427436Z digest=sha256:8eb20c1a7e34a4af51bb781cd99eafabf4bc0ef7705df79db85585fb8b0a8703

Observation 46d09fa3-b787-4543-b71d-18f58f1c06e6 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:43.409613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.432310Z digest=sha256:4198087824911594d5c5fe9fe5936a68bfee085b715c1cf70e91a903c771b655

Observation 1304d60f-6e60-4e0d-9a80-e1f03a6eccd5 · outbound

This paper cites Señorita-2m: A high-quality instruction-based dataset for general video editing by video specialists.

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing Señorita-2m: A high-quality instruction-based dataset for general video editing by video specialists

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:34:43.387144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T10:34:42.436470Z digest=sha256:0f4be322926402baf10fb3e72bf6eed29f603cec67a5b58ec6f541ab5fe090a9

Pith citing papers

No inbound Pith citation observations are available.