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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.160944Z digest=sha256:f3855539e4b25dbe47002cc89dfa5050b27e8a3f1d15ee81249cb32384e3fc2f

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=sha256:5428f847da8ac2eaefa67a653d4f07d59b4a2e21ef1e5d5485739b22087ac382

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=sha256:34ed9a3896eb792fb7ba2eb52c822290e47fb6d518260e5f21f2acf1ebbc0d5e

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=sha256:8b20e5219afefceb36f20a42aeff5cb1649175d595c5609428ad684373838991

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=sha256:33de7e598664f01711e86d9e32adecb238f3be1564a6ea6124af3cd9223f3ec4

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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raw_fallback, observed 2026-08-06T10:34:43.871440Z

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:fc8981319b291b9e984d694e5f7ce230d29cacaaa805bbc243cd06e3aa94dc2f

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=sha256:8e99ef81d2cf4dd01736510fa5e10406ed8334d78522bf4af049557cf59d5030

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=sha256:418cc8e8ef6b839860ec6f12a31a8c0c07a0a3f110d0dac1c754b94f2d79828e

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:af751529f6aaf2d2da1d529004c6b8ad0d79323b1e107c86af9508cbe5bdfc7c

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=sha256:645c9abf4f7ec6a800a5d9f5b698babf60118f2c0678cd443ad280cdd60f6bc1

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=sha256:006d455719467e971fbab6bd4e4eca740ba3f9dfb29f2199b22ce640ff47b9b5

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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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=sha256:9fe0fc5cd5aef3903f53475dd0a10bcdbe5bad5d6409452e5274c1810ce4b6cf

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:e2a1c0173b700235c262f163b4dd362ef2fcff5aad7f5d6890ef6c2c92d64132

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=sha256:6a2f50f9894dc33d93a159b2c4a9620e7f4c0f81d6eecf03267cde033d29ad0e

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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raw_fallback, observed 2026-08-06T10:34:43.793896Z

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:ed67787dc57ac6541e2fd51bc65dca7f6eff2bfe07a2a0c63fb2c3dff4b01937

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.257006Z digest=sha256:abd928d1f491a1dadf2fa6fdfe5b62fc437b04c47edec0597bbaa616997a0604

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=sha256:7190c08227b4dc068a238c582e0f9e12ed001a31417d2d8d66ef0e18fa2974cd

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:e806e53e8b61d11b918099b92e76a9b64b133b3ebd134438959857a2cbd6a446

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=sha256:1b62a0ed497730a65c7b5678ab6b6efce6e6bb0375326a4dfb3b8ac392cc5c2e

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:d9b0ecc27ffd5d097c9f49d238e0ec9a7356e75cdd6060b6984b706c4a5a13b8

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=sha256:9aad89e3d8f4d8bc574edb89f6ab118b7f59f2b5f37f00743bab777f50662257

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=sha256:5a74ecc557d5f588df012b5a9919cc3f72f99dff2a38393d24b4ab6598d90c2f

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:dcf90a33e7b85ab2fcbc17d7fc42306f4bebeacfe1e91256f72692685db89ecb

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:e8f25779b0386ebdde03cd7a85bb65fc45790c660f491178a854f204865f1d21

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=sha256:1fdc1c1b487bf688dc9da2aa0a964c9c6561e1b88a416af635c2a62eef99621b

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=sha256:69f6b29d1c9e2cec6274a7656973da327785b617e4025843fa72c127f17eb4ce

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=sha256:8d708feb9f7517861dc20d0f31271be4a9c851aa4d1ad64b1f743059d133e77d

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=sha256:06dfbf04d4f4d5aced6d188afb785b79882d1122456a4e0b4df78e1987a4701b

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=sha256:4f05f286a136dc7e2343b4180f6a94a04d421d54cc510ba7c60e90d3582b73c9

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:ead335d0e9493fb59dcca84fe18cec39612b032157cdef97635864254f70ee18

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:e00ce0827be142fbf359ef47dd520675b4258321676dec7133b7ee5272f5ca9a

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=sha256:0b9cf798fba9b0aec158a7a76cfbaf1242d53ceab155880e187ca65ac9c321ec

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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source=pdf_text observed=2026-08-06T10:34:42.357223Z digest=sha256:6026fc82a2430ebad319f94f738a091726669497089cda5758fcf460303cecba

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=sha256:8e6a6df57c297f96fa64f97b19218b9cd6519f90ebf9bdcc383b4638c6c0aa43

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:34:42.366827Z digest=sha256:8c22fcc9ba0d81723b8093e94a406b6df20837b1248f3a8c2fbe7f15a65b1b00

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=sha256:48e31f9c8789b12a2be604858125bfec8977ef0882bd0afd507828e169833c46

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

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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=sha256:3cb60c525a8e1f11ca9933205001d2854c8d97dd9ba86e62b98b30ee323c86be

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

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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=sha256:6a46032bfb542faff0d2e7ed6b63f39f7cb090309acb34dd3f4150b634a22985

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=sha256:5ca713eb352b8980451de1a82505ec496669b68b305ce88fafe968037ebe256e

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=sha256:706e7e531f80eb436fafa0fa23ee95b36ba889d63c45ab8d33c1d98f99ca33d8

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=sha256:56a11d967faf60d498212ecd0a809dc3d499b398459ec5624eb140387baa4756

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:d1e4bcb89c63db31643a85f0d30fde4905e4a7dc7b9366e1d5f6a273c3cf8c68

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=sha256:92b4c73662a9b6a008f7b1051022eae35834d6706651936ee4b3ff3271b9c107

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=sha256:7828ed060a22576fbdf4051014ccf34d52e7c493dda1440465984c4be90d452b

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=sha256:0b645ce597b6f3328b1c6ae7450b5d5e92cc118332705f0c16d85c628ca54244

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=sha256:727878c70c82a03a603bfc9212f1e19d265ec6bbc5d5e7a48f2c6e9df2df2675

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:b763526603d945682c5d76ab300e7faf74684125c522f2e7ffe82d95b5ad8e7a

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=sha256:37c64ad23e029b566a899d9e4d20cfe1b03459b9afd46b077f24aee47aa0eaf3

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=sha256:4bed3c9e8e37293da3b931418d24cf2cb631e6b783cf7ae0c4c2250a4b697475

Pith citing papers

No inbound Pith citation observations are available.