Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T14:34:02.117406Z
Paper Citation Record · LEDGER
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
As of 10 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 18 inbound Pith citation observations for arXiv:2502.06734.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:21:41.308248Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T07:55:30.838800Z
Reference resolution
35 of 35 outbound references displayed
- verified exact0
- verified fuzzy12
- unresolved23
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3968fcc7-b0b5-41bb-b816-ec748c4a6f34 · outbound
This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e8f7153-f15e-4aa8-a82d-36d60faf3cd5 · outbound
This paper cites TokenFlow: Consistent Diffusion Features for Consistent Video Editing.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists TokenFlow: Consistent Diffusion Features for Consistent Video Editing
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:34:02.002068Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9ed8e8d-e873-464c-8a7c-0fb7e7e326fe · outbound
This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:34:02.005885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddf45ffd-7775-4269-a74d-f6ceaeacb56e · outbound
This paper cites commas and used as input prompts for Grounded-SAM2 (Liu et al., 2023a; Ravi et al., 2024).
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists commas and used as input prompts for Grounded-SAM2 (Liu et al., 2023a; Ravi et al., 2024)
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:34:02.586471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 56ceb27b-0a23-4396-b94a-19cb1c46bd9f · outbound
This paper cites VIVID-10M: A Dataset and Baseline for Versatile and Interactive Video Local Editing.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists VIVID-10M: A Dataset and Baseline for Versatile and Interactive Video Local Editing
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:34:02.014040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc93fe88-f379-40c1-834c-e3698e829b37 · outbound
This paper cites HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:34:02.017686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e5ceaf7-b428-4401-8fea-8974b1755fe7 · outbound
This paper cites Video Diffusion Models are Strong Video Inpainter.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists Video Diffusion Models are Strong Video Inpainter
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:34:02.025207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a110379d-fa15-4e05-bd0f-be30a42b816b · outbound
This paper cites Stablev2v: Stablizing shape consistency in video-to-video editing.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists Stablev2v: Stablizing shape consistency in video-to-video editing
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:34:02.029073Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65508319-28ab-45a2-9db6-7b693d1e3e26 · outbound
This paper cites The video on the left depicts the original video, while the video on the right displays the edited videos.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists The video on the left depicts the original video, while the video on the right displays the edited videos
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:34:02.536489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2943a5e1-0cbd-4409-a54b-0ca3edd5d155 · outbound
This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:34:02.036011Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 872c7789-ff4e-46c1-b721-5248140c7282 · outbound
This paper cites ReVideo: Remake a Video with Motion and Content Control.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists ReVideo: Remake a Video with Motion and Content Control
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:34:02.039641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be7ebc54-aa6f-48b9-b111-c69517bea17c · outbound
This paper cites Zero-shot image-to-image translation.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists Zero-shot image-to-image translation
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:34:02.604917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c20652ba-8f08-4c35-964a-287171ab34c9 · outbound
This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists The 2017 DAVIS Challenge on Video Object Segmentation
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c8114e1-09fb-4ad0-8faf-59d53d2c1a9c · outbound
This paper cites DreamFusion: Text-to-3D using 2D Diffusion.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists DreamFusion: Text-to-3D using 2D Diffusion
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:34:02.050432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb7bec9a-b80e-4707-93b8-610c8f73af7e · outbound
This paper cites FateZero: Fusing Attentions for Zero-shot Text-based Video Editing.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:34:02.054247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fc7e47a-e520-4b09-be19-aa1676ca7d34 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists SAM 2: Segment Anything in Images and Videos
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 157abfa0-e1ee-43ce-992a-c0f3a5034dc2 · outbound
This paper cites Plug- and-play diffusion features for text-driven image-to-image translation.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists Plug- and-play diffusion features for text-driven image-to-image translation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:34:02.595960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 77b33201-cf32-4aad-a065-9ea7f40b1021 · outbound
This paper cites OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d671e7a-02ea-40a6-bbd1-da6aacf34d06 · outbound
This paper cites Zhang, K., Mo, L., Chen, W., Sun, H., and Su, Y.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists Zhang, K., Mo, L., Chen, W., Sun, H., and Su, Y
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc54726e-b55e-448e-a843-fcd2e0f400be · outbound
This paper cites CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c28dd6a3-e0f2-4b05-ba95-b98c0f9cde40 · outbound
This paper cites This limitation prevents us from applying techniques such as ControlNet to repaint a video effectively.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists This limitation prevents us from applying techniques such as ControlNet to repaint a video effectively
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19183171-3c17-41da-8f31-ae79636fa012 · outbound
This paper cites Table 5 shows that our expert model outperforms all baselines, achieving the lowest Ewarp (9.02), highest CLIPScore (0.3145), and best Temporal Consistency (0.9781).
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists Table 5 shows that our expert model outperforms all baselines, achieving the lowest Ewarp (9.02), highest CLIPScore (0.3145), and best Temporal Consistency (0.9781)
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:34:02.567351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5d8ed50c-0bc1-46d7-be75-99d457685518 · outbound
This paper cites The best results are boldfaced.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists The best results are boldfaced
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:34:02.556959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 310b5d8b-27a2-45d2-8c50-e7828f4592c1 · outbound
This paper cites Bottom: The data construction pipeline for Señorita-2M using our inpainter.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists Bottom: The data construction pipeline for Señorita-2M using our inpainter
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19ae2d9c-29ad-4530-a975-96bab3585997 · outbound
This paper cites an unresolved cited work.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists Unresolved cited work
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4a10c795-5672-4f74-8382-50f9dcd94ef0 · outbound
This paper cites For object recognition, we utilize CogVLM-video-llama3-chat (Hong et al.,.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists For object recognition, we utilize CogVLM-video-llama3-chat (Hong et al.,
Reference 33
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 29e4c9da-64d4-4c24-b5ea-61148795e91a · outbound
This paper cites We set the maximum token length to 120 and use six frames per video.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists We set the maximum token length to 120 and use six frames per video
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T14:34:02.505628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f552e8c8-f3b5-4e00-a369-3fd06334b793 · outbound
This paper cites Detect" or.
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e6efe788-38df-4990-8af4-7998ff0f43bf · outbound
This paper cites There be.
Reference 592
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e9b5e5a9-be66-4812-ba75-4cafddfc9199 · outbound
This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Reference 2017
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a8d4ad2-12ee-4734-8eb7-2b0ed1cf73de · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 2021
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccf3b396-b07e-4a72-b983-5689db8bcda2 · outbound
This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists CogVLM2: Visual Language Models for Image and Video Understanding
Reference 2022
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cda3b44a-09aa-412d-9c2f-51313623c117 · outbound
This paper cites VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Reference 2023
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4dbe9b51-1bda-4641-b1c8-78a8ddde0fed · outbound
This paper cites The Llama 3 Herd of Models.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists The Llama 3 Herd of Models
Reference 2024
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 430243a2-6521-4863-93bf-61ca84c74603 · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 2025
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 6467c033-e05e-4c69-ac81-3574c016c6ed · inbound
Step1X-Edit: A Practical Framework for General Image Editing cites this paper.
Step1X-Edit: A Practical Framework for General Image Editing Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 74
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 71e8ad13-ce70-4bc8-8281-4caf719b07be · inbound
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal cites this paper.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 55
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6148350f-6329-420b-b9f1-cefb4e840c79 · inbound
O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing cites this paper.
O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5dd8ca7-7353-4efb-966f-0828de6cccde · inbound
EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning cites this paper.
EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7253c983-e39d-4c33-a4fa-3823e6bc0878 · inbound
VideoCoF: Unified Video Editing with Temporal Reasoner cites this paper.
VideoCoF: Unified Video Editing with Temporal Reasoner Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 51
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T00:08:43.126418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3fa7ad1d-f7b6-47ba-9276-1a48340ccc55 · inbound
Under One Sun: Multi-Object Generative Perception of Materials and Illumination cites this paper.
Under One Sun: Multi-Object Generative Perception of Materials and Illumination Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f6801e6-67af-49a5-a181-e1107e417339 · inbound
InsEdit: Towards Instruction-based Visual Editing via Data-Efficient Video Diffusion Models Adaptation cites this paper.
InsEdit: Towards Instruction-based Visual Editing via Data-Efficient Video Diffusion Models Adaptation Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:25:57.579183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e47282b7-5dac-4410-8ec7-7ffa7add2e6a · inbound
Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection cites this paper.
Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 104
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T17:06:04.285073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 424be639-87c3-4e15-9fcd-e89a3e71a1be · inbound
LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention cites this paper.
LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T00:25:09.361619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation afcd0946-6219-4eef-ad83-30a35095024f · inbound
Sparkle: Realizing Lively Instruction-Guided Video Background Replacement via Decoupled Guidance cites this paper.
Sparkle: Realizing Lively Instruction-Guided Video Background Replacement via Decoupled Guidance Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:06:11.969943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e5b4a75-01ad-40b5-aa12-3a8d9528dd7e · inbound
InstructAV2AV: Instruction-Guided Audio-Video Joint Editing cites this paper.
InstructAV2AV: Instruction-Guided Audio-Video Joint Editing Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 35
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T11:38:14.723253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e92d4077-2ccc-4a26-bdcf-63d68177fe92 · inbound
Aurora: Unified Video Editing with a Tool-Using Agent cites this paper.
Aurora: Unified Video Editing with a Tool-Using Agent Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T10:48:12.726167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b513661f-8be0-4224-aa5e-04e27f7f2e72 · inbound
StreamEdit: Training-Free Video Editing via Few-Step Streaming Video Generation cites this paper.
StreamEdit: Training-Free Video Editing via Few-Step Streaming Video Generation Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 99
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-21T04:53:57.681809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c6ab60b4-a4a9-4d6d-afcc-873b1cfe21a1 · inbound
StreamEdit: Training-Free Video Editing via Few-Step Streaming Video Generation cites this paper.
StreamEdit: Training-Free Video Editing via Few-Step Streaming Video Generation Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 99
- Resolution
- malformed identifier
- arxiv_id, observed 2026-07-01T07:55:30.840943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d23f9d27-f0fb-40c4-b004-66f6d2470acb · inbound
Reasoning to Align: Implicit Reasoning in Diffusion Transformers for Video Editing cites this paper.
Reasoning to Align: Implicit Reasoning in Diffusion Transformers for Video Editing Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T13:44:41.145007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d61e88f4-3fe8-450f-bc2e-7d6c2322071a · inbound
SpongeBob: Sync-Aware Harmonious Audio-Visual Generative Editing cites this paper.
SpongeBob: Sync-Aware Harmonious Audio-Visual Generative Editing Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T12:34:39.557244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 47fa062d-9b6a-43d9-8126-df62952a8cfc · inbound
ElasticTTT: Prior-Preserving Test-Time Tuning for Video Editing cites this paper.
ElasticTTT: Prior-Preserving Test-Time Tuning for Video Editing Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:15:33.659124Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 361c599b-b00a-4c0b-8e2f-6eb2e1900059 · inbound
ElasticTTT: Prior-Preserving Test-Time Tuning for Video Editing cites this paper.
ElasticTTT: Prior-Preserving Test-Time Tuning for Video Editing Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:56:59.724051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.