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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:701df45b19288abad32a6d7ca901886fe46fb2278c2ed4ccff4904a679f717b9

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:d04fab395c80d006b7644c1866c245abe77a16802392adeb25f725557880e382

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:a5b291fdfd691bd532beaacf6229ebccb57ac56866b8fc8be53105abbc8a0142

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.186546Z digest=sha256:edcebec6617f2a2852a172cd3084e2e326beff64f790b131069d024a541f058b

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:e60b44d9911d58499aaea981f01b61ac9d665735a5ea3b1d571b35a18eb3a56c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.200216Z digest=sha256:88cf9fe9801f849cdc7f770f0840f58311aea1b0b19b9d266b269968f7b2959d

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:dd3d69cf541e80911e4a96138a12f46d22cd13466b59963227cbd80796e5e9bd

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:cef5aee4cfc7e88034b595e2153e40232bdd7bf2b4ace399f9d22e3d040182cd

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T10:34:42.218252Z digest=sha256:ef3f407ce6aae2dc299378be5c4f78226f86b1fe79bae4eb7f2c0c3d630e3e6c

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=pdf_text observed=2026-08-06T10:34:42.224741Z digest=sha256:5386736503c9a46802e9ed750f6330fa8288dc211c6f3d6472de0093081a8afe

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:e194723c5552697c4dc9d8634a3ec6303f77eba356f1333e84cb029cba62f736

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.236409Z digest=sha256:37530affbc635ae5aa5f812d0365a33d8c377c06e81ce434947bbb434fa728ef

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=sha256:72791b11c529bcceda0134edb2f0f4cf0d0385c34e296d7e6412f384ba5852bd

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=sha256:941791f1ca34671aed9404106e66de7ad9eb71c1603cc38f9576203eb8c63f68

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.252154Z digest=sha256:75eb79f080cc547467b5ca72f6dd8616e1b0dea85751cb80450d8ad54915a42e

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=sha256:922101a62af7dc9ffc217c1429a575b8f2d7626ad50e38d58dd1065326a03a84

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.261466Z digest=sha256:e6e82550dbd096dc7e7e67a01aaddc7b0a1061ec0c82ad6b30e0cb0c02d0b386

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=sha256:11affcdcf55bba7cedf05d690413b56ff85e71b2230efc5ecc0fb074e0ae86f7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.272718Z digest=sha256:40d242ea6d8033424217fda7d9a1d6444b3c3278d89898c6fae9df767188dda7

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

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source=pdf_text observed=2026-08-06T10:34:42.277776Z digest=sha256:cfa41fe16cacf09acc21e164f6b25ca759dc9f76ae95e853253bb6324d2cb3be

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=sha256:8ffe853349ffd48796477ae6a4ef234b4598aea98f67edd477fa41eefa8de55b

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:d29fff823f0ca3fab00ebb74fc3edb5c5c1a625c0310dbefe3db73b3948e64fd

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=sha256:7f6a1406dc35e9ff8b753b7f32cce261fe98ae4c7b0e058d24d4495297e93a04

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.301737Z digest=sha256:fb2feba3a0175c725b34df47cc57ba84e26c7fd95c832b68ce2f0a2bbdbb364e

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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raw_fallback, observed 2026-08-06T10:34:43.673416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.306380Z digest=sha256:f11c88d8b23ec924e0a464600fb9d53e67b029488c5b5e655bbabc479b5fa024

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:cedad79955267f7f663ef64b512df1ed3117b86a739be20a3c7df72bd18a749b

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=sha256:18fe710a8ed1d1b083b73bcb3f5dc2ecde2705abbf25cb48dfda4a2462851e35

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=sha256:07f629ddc87dfaa32b6eec091d0340b25d7ddeaead4a43649ef92f71c5d30859

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=sha256:461f3bb6cc83f171dc473973c5360cbd15ac6d5adb74359088930154ea11c90a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.340644Z digest=sha256:fe0807dd9244c9a8b7ebb36c4ae03405502899f7706594205891d89f7d855183

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.345447Z digest=sha256:74888819399034f65299f85877ccda8922a22c291e4ce30f96cbd6d28b74feb3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.352756Z digest=sha256:473f08a7cbfbb6cbf88b884370a0eb809f24720ac65419f02281609c9eeea21b

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=sha256:9c24eea23b52fd0193143945d15de72f6a8dfa14922e82417d750ba618a0c580

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=sha256:22574a588f19b1016ca324ecd6b4f8bc9d3e64bba8cbd720afd5fb10dd6681a3

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=sha256:10d32cd927f870b6fbc0ffb18a98123e19553d85ba016187e06ec6951a583f8f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.371360Z digest=sha256:cd63ebaa282bc1f45e06db733a0a655265a42e680c6a1aa78baa5562a6bab2f6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.376282Z digest=sha256:5514f79b2e89a5e03aa12650f8af42a7a9091c428435c70bbc7bc4afae2910d7

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:a41ff139f5a0305cf139c0975aa32d968cad83b56b9dd9fe11030e89720a5a53

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=sha256:7b3fc9c5f3009de5466d3f1bb46b6cd827575c6ed9a84b0fb8576142cabb4083

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.392159Z digest=sha256:16e5365c10939461b65281163681c2e3dbe2967e318eddbcaeef64912980d3b3

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:e765de9bd5b8619de74a9fe44b34327ed2a783064fd1de7a20d316fd8b966525

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.402290Z digest=sha256:b119dfcdb05b44c01693e6ee5ff054ab4d19ac59d45f386f90364459d68fb5d5

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=sha256:53415584ec6a50d6b778ea37217a51fd0116c2f81753566158baa7f494db06aa

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=sha256:2d6db41fec2b1dac470f7f6c93fc23ed2dd0561b53cef5b63016b5c557c63d78

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.417454Z digest=sha256:715fc9579638638ee92687c11af162a7825a1a3eae3cf1e827a7831f1ffd4be7

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=sha256:5bf58667beaf5b19cb7f37b4564512f3193ba0efe3f1c96b26e29639e4365192

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=sha256:3c1dd20ce511dbecee74049498e1bbcd7939b06afe00963b80b8c1ac20f0b1f8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.432310Z digest=sha256:a37d9517ba9fdbb5811e7130c4d0000fb02104a3c3afc14538ec7f0294625ee3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T10:34:42.436470Z digest=sha256:0046965dbd9bae5ab163e429aadcbdd2afed7276f4c1afc15e23fd44e611ac6d

Pith citing papers

No inbound Pith citation observations are available.