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 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
- no resolver link, observed 2026-08-08T14:34:02.046546Z
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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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- arxiv_id, observed 2026-05-18T13:46:25.837207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.