Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:21:42.065655Z
Paper Citation Record · LEDGER
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
As of 11 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 16 inbound Pith citation observations for arXiv:2505.24873.
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 2026-08-05T12:27:35.548130Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:16:26.810645Z
Reference resolution
61 of 61 outbound references displayed
- verified exact0
- verified fuzzy17
- unresolved44
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4e9e34b4-b847-4492-ab9e-b57e798236d0 · outbound
This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Frozen in time: A joint video and image encoder for end-to-end retrieval
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:46.487994Z
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 49e7dcae-35a7-4f6b-a7e6-111ea4f5f256 · outbound
This paper cites VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:37.764238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07aff419-c706-453a-ad96-669c93ed7a3d · outbound
This paper cites Black forest labs.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Black forest labs
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:46.264439Z
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 1fc82f3b-25a4-4c42-93aa-5169019cb866 · outbound
This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Align your latents: High-resolution video synthesis with latent diffusion models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:37.960876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59d9e455-8c3b-46fe-b7e2-e006cb564c31 · outbound
This paper cites Cambridge university press, 2004.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Cambridge university press, 2004
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.042874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc3dd790-9fe7-4165-9dd0-fe9440429e34 · outbound
This paper cites Instructpix2pix: Learning to follow image editing instructions.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Instructpix2pix: Learning to follow image editing instructions
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.073840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e4c4e0b-cd52-4c54-aba1-45371a13100c · outbound
This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Videocrafter2: Overcoming data limitations for high-quality video diffusion models
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:46.049250Z
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 423e3c65-1f93-4358-a577-eb83da28a07e · outbound
This paper cites Consistent video-to-video transfer using synthetic dataset.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Consistent video-to-video transfer using synthetic dataset
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:45.858156Z
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 5be7086f-d596-46e8-a9ca-1160bf28d963 · outbound
This paper cites FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.134031Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fa23242-a513-421e-8823-c7bdd4f1fb6a · outbound
This paper cites Introducing gen-3 alpha: A new frontier for video generation.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Introducing gen-3 alpha: A new frontier for video generation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:45.670165Z
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 dc8b2f51-a8d1-4acd-9728-938995b94697 · outbound
This paper cites Instructdiffusion: A generalist modeling interface for vision tasks.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Instructdiffusion: A generalist modeling interface for vision tasks
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:45.475675Z
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 52880996-4c1f-46e8-af12-b882e0e02b0b · outbound
This paper cites TokenFlow: Consistent Diffusion Features for Consistent Video Editing.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal TokenFlow: Consistent Diffusion Features for Consistent Video Editing
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.265921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd3b525a-f6e4-486b-874c-a6ad09011c8f · outbound
This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Generative adversarial nets.Advances in neural information processing systems, 27, 2014
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.401315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9428ab5e-af03-4300-a832-a926ccf0ad14 · outbound
This paper cites Coherent Video Inpainting Using Optical Flow-Guided Efficient Diffusion.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Coherent Video Inpainting Using Optical Flow-Guided Efficient Diffusion
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.498549Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e361fae5-cd09-410c-8fef-78d0190959c2 · outbound
This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.598679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 132db5f5-a773-40bb-af61-462f7d6c577c · outbound
This paper cites LTX-Video: Realtime Video Latent Diffusion.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal LTX-Video: Realtime Video Latent Diffusion
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.733783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d9922c7-62b2-43ca-80f8-40dd80126095 · outbound
This paper cites Classifier-Free Diffusion Guidance.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Classifier-Free Diffusion Guidance
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.803360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f617f3a5-e179-45cd-86e8-ac1931bcd33a · outbound
This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal CogVLM2: Visual Language Models for Image and Video Understanding
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.829107Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a3962f7-d4c2-454d-ae84-c82e39445a20 · outbound
This paper cites VIVID-10M: A Dataset and Baseline for Versatile and Interactive Video Local Editing.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal VIVID-10M: A Dataset and Baseline for Versatile and Interactive Video Local Editing
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.845137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52eb0af1-eac9-491c-a441-8f69e0e1a4ef · outbound
This paper cites VACE: All-in-One Video Creation and Editing.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal VACE: All-in-One Video Creation and Editing
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.858951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9700408a-a9a2-4b60-959a-c3d628c14380 · outbound
This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal HunyuanVideo: A Systematic Framework For Large Video Generative Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.878426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c689d82-3206-4d09-ad4a-bde261937c91 · outbound
This paper cites AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.894445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd76d8d2-67d3-41f1-a0c8-aaa8baf42a7d · outbound
This paper cites Video diffusion models are strong video inpainter.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Video diffusion models are strong video inpainter
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.922498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8d183c1-4c2d-4405-893d-34c7a5baf3e6 · outbound
This paper cites DiffuEraser: A Diffusion Model for Video Inpainting.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal DiffuEraser: A Diffusion Model for Video Inpainting
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.948092Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87663c37-c561-4174-82e0-302fdd0b8aba · outbound
This paper cites Stablev2v: Stablizing shape consistency in video-to-video editing.arXiv preprint arXiv:2411.11045, 2024.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Stablev2v: Stablizing shape consistency in video-to-video editing.arXiv preprint arXiv:2411.11045, 2024
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:38.982889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc018715-0fd9-4de2-86f7-81a964e45b56 · outbound
This paper cites Generative Video Propagation.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Generative Video Propagation
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:39.009460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05e0f5de-50cc-4d55-a6a9-0bc7e558a946 · outbound
This paper cites Video-p2p: Video editing with cross-attention control.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Video-p2p: Video editing with cross-attention control
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:45.291025Z
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 d79d7a62-a57e-4b25-8f27-0f206f83aed5 · outbound
This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:39.075125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67dc751d-7ca8-41a2-a1e0-9c2f7250d3bf · outbound
This paper cites Step1X-Edit: A Practical Framework for General Image Editing.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Step1X-Edit: A Practical Framework for General Image Editing
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:39.132228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 535e463e-81a2-4225-bd44-9f9598390408 · outbound
This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:39.177072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5251326d-adc9-44f7-a91c-78452d6ee451 · outbound
This paper cites Decoupled Weight Decay Regularization.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Decoupled Weight Decay Regularization
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:39.282106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65c575a6-9743-4384-9449-b491be54e467 · outbound
This paper cites Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:39.350783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ce46552-a6c1-4735-af9f-c7b18b6d0195 · outbound
This paper cites Mochi-1.https://www.genmo.ai/blog, 2024.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Mochi-1.https://www.genmo.ai/blog, 2024
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:45.097503Z
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 d8363427-91bd-4082-a434-949d14218f09 · outbound
This paper cites ReVideo: Remake a Video with Motion and Content Control.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal ReVideo: Remake a Video with Motion and Content Control
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:39.585512Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ade1ccb2-3d72-4e96-bc62-1b1c08e65de5 · outbound
This paper cites https://openai.com/index/introducing-o3-and-o4-mini/, 2025.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal https://openai.com/index/introducing-o3-and-o4-mini/, 2025
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:44.938346Z
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 35b6b192-a666-4c87-b233-5d028fa12f5d · outbound
This paper cites Sora: Creating video from text.https://openai.com/index/sora/, 2024.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Sora: Creating video from text.https://openai.com/index/sora/, 2024
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:44.798920Z
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 8b9ce8e6-590e-4f86-8b56-ddb7d2e01711 · outbound
This paper cites Scalable Diffusion Models with Transformers.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Scalable Diffusion Models with Transformers
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:39.852461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8dcb2cb5-722c-4556-8ade-ae6ae773786c · outbound
This paper cites https://www.pexels.com/, 2024.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal https://www.pexels.com/, 2024
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:44.643576Z
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 71eb043c-59eb-4924-8b47-f427f746e20f · outbound
This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal The 2017 DAVIS Challenge on Video Object Segmentation
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:40.037381Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfa281c7-0f0f-4899-b117-39d04e607332 · outbound
This paper cites Zero-shot text-to-image generation.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Zero-shot text-to-image generation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:44.464938Z
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 a4ac6d08-ef6a-406d-ae8e-3275b350217f · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal SAM 2: Segment Anything in Images and Videos
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:40.178621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1429528f-af2a-468a-b7d6-76a840148b6b · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal U-net: Convolutional networks for biomedical image segmentation
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:40.237164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa0b95c0-8277-4654-8afd-a1d6d2c87c7c · outbound
This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Wan: Open and Advanced Large-Scale Video Generative Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:40.298087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0c2b062-5be5-4e5e-aff2-c9b7fc121cdd · outbound
This paper cites Modelscope text-to-video technical report, 2023.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Modelscope text-to-video technical report, 2023
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:40.366178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c478aea2-4f01-4f8f-bc03-3d5620ee59ca · outbound
This paper cites Imagen editor and editbench: Advancing and evaluating text-guided image inpainting.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Imagen editor and editbench: Advancing and evaluating text-guided image inpainting
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:44.244243Z
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 039fdf9e-1035-4463-8c96-21c11d4b8022 · outbound
This paper cites Videocomposer: Compositional video synthesis with motion controllability.Advances in Neural Information Processing Systems, 2024.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Videocomposer: Compositional video synthesis with motion controllability.Advances in Neural Information Processing Systems, 2024
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:44.022983Z
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 4058d327-997b-4c6a-8580-a01ce42e7e78 · outbound
This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:40.592065Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec196d75-12a0-4d09-8bcd-14dc9a00dc10 · outbound
This paper cites MTV-Inpaint: Multi-Task Long Video Inpainting.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal MTV-Inpaint: Multi-Task Long Video Inpainting
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:40.702059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e55a3fc2-87e7-4f5d-b8e6-d876a48dc3fa · outbound
This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Cogvideox: Text-to-video diffusion models with an expert transformer
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:43.793555Z
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 9039e777-5a0b-4284-9e85-493e24a74a55 · outbound
This paper cites Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neural Information Processing Systems, 36, 2024.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neural Information Processing Systems, 36, 2024
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:40.882845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f90ad235-ea9b-414d-b1cb-ccdf7a7f6692 · outbound
This paper cites Packing input frame context in next-frame prediction models for video generation.arXiv preprint arXiv:2504.12626, 2025.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Packing input frame context in next-frame prediction models for video generation.arXiv preprint arXiv:2504.12626, 2025
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:40.975686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3cce579-d776-464a-a2d4-bc1fb3e1ecb3 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Adding conditional control to text-to-image diffusion models
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:41.044326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fe18295-7649-47c2-a48f-63266f6eeb90 · outbound
This paper cites AVID: Any-Length Video Inpainting with Diffusion Model.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal AVID: Any-Length Video Inpainting with Diffusion Model
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:41.124312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 36db8069-0777-4a61-a6c5-6a69a949d2c8 · outbound
This paper cites Propainter: Improving propagation and transformer for video inpainting.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Propainter: Improving propagation and transformer for video inpainting
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:43.572999Z
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 · outbound
This paper cites Se\~norita-2M: A High-Quality Instruction-based Dataset for General Video Editing by Video Specialists.
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
- no resolver link, observed 2026-08-07T12:21:41.308248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b58e1b99-b7ca-4c32-83ff-76a646d7c3ed · outbound
This paper cites CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:21:41.454119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3a5143e-8f7c-4866-a685-e435d0078057 · outbound
This paper cites an unresolved cited work.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:21:43.361056Z
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 5ad17d38-6abe-4a4b-9569-a563fe54fdc5 · outbound
This paper cites an unresolved cited work.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:21:43.213390Z
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 5df3d3aa-b691-4162-8ca7-9f6c4c2f7a58 · outbound
This paper cites an unresolved cited work.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:21:43.058811Z
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 3d17ad8f-1b1c-4bf1-af79-61caa673ccd7 · outbound
This paper cites an unresolved cited work.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:21:42.872934Z
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 ed3da41a-d34f-443f-bd81-7829e41a810e · outbound
This paper cites yes" or.
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal yes" or
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:21:42.659359Z
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.
Pith citing papers
Observation 0e8b8eeb-5639-4d11-ab49-07e08fe8f4e6 · 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 MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:27:35.548130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ce213fa-17fa-43a7-88b8-e1248e6da60f · inbound
VideoCoF: Unified Video Editing with Temporal Reasoner cites this paper.
VideoCoF: Unified Video Editing with Temporal Reasoner MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:08:43.159407Z
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 d2be03b6-092d-4af4-8837-256f21d96f04 · inbound
Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation cites this paper.
Learning Stochastic Bridges for Video Object Removal via Video-to-Video Translation MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T10:02:42.036296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23011d8a-32ed-42d9-87ad-da41aa7ab6e8 · 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 MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T22:08:47.493022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 029ef174-19f8-4b5f-bd8c-6ddcace082a3 · inbound
CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal cites this paper.
CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T00:39:35.655463Z
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 86a22e7e-fb2a-4a74-964b-e7fb9974e417 · 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 MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 59
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T00:25:09.305580Z
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 23bb70b9-8266-4ab3-a520-3f6880506916 · inbound
PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media cites this paper.
PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T02:13:30.457949Z
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 aecca054-906b-4ca2-9d4e-3b7bab3970b3 · inbound
PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media cites this paper.
PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:03:34.947377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a53197e2-e2cd-448e-b806-1655cd2b7d2e · inbound
Tuning-free Instruction-based Video Editing Via Structural Noise Initialization and Guidance cites this paper.
Tuning-free Instruction-based Video Editing Via Structural Noise Initialization and Guidance MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T14:32:36.198464Z
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 27923938-5156-4a6e-a877-8809dc529996 · inbound
Occlusion-Aware Physics-Semantic Keyframe Selection for Robust Video Editing cites this paper.
Occlusion-Aware Physics-Semantic Keyframe Selection for Robust Video Editing MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:06:38.684891Z
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 2b5b0f4a-6e72-49f8-b4a6-3e90073730f8 · inbound
SimInsert: Seamless Video Object Insertion via Regional Sparse Attention Fusion cites this paper.
SimInsert: Seamless Video Object Insertion via Regional Sparse Attention Fusion MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-25T04:50:21.412784Z
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 38ce57cb-28e8-48ca-888d-f22857dbb240 · inbound
Smart-Insertion-V: Photorealistic Video Insertion via a Closed-Loop Feedback Dual-Stream Framework cites this paper.
Smart-Insertion-V: Photorealistic Video Insertion via a Closed-Loop Feedback Dual-Stream Framework MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-25T04:35:21.946875Z
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 f3062b54-3972-4fa1-b8e2-c07b1d0ae4e2 · inbound
GenEraser: Generalizable Video Object Removal via Balanced Text-Mask Guidance and Decoupled Locator-Preserver cites this paper.
GenEraser: Generalizable Video Object Removal via Balanced Text-Mask Guidance and Decoupled Locator-Preserver MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:13:15.735958Z
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 806f97f2-d01d-4411-a459-559b7a892109 · inbound
JAVEDIT: Joint Audio-Visual Instruction-Guided Video Editing with Agentic Data Curation cites this paper.
JAVEDIT: Joint Audio-Visual Instruction-Guided Video Editing with Agentic Data Curation MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:16:26.812069Z
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 ed1031e0-a8a2-4ad6-b8a9-57dcd5eeec37 · inbound
From Draft to Draft-Free: One-Step Video Object Removal via Privileged Distillation and Fast Planting cites this paper.
From Draft to Draft-Free: One-Step Video Object Removal via Privileged Distillation and Fast Planting MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:37:34.040776Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29eb4e74-d09f-4b52-99a3-bed409b09d7e · inbound
FlexComposer: Unified Video Compositing from Images to Dynamic Footage with Flexible Trajectory Control cites this paper.
FlexComposer: Unified Video Compositing from Images to Dynamic Footage with Flexible Trajectory Control MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Reference 99
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:18:01.427798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.