Paper Citation Record · LEDGER

VIRES: Video Instance Repainting via Sketch and Text Guided Generation

As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 3 inbound Pith citation observations for arXiv:2411.16199.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.16199 v6

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:29:59.155701Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:59:07.294813Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T16:19:57.945426Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a209f8c4-9825-4c3b-83d0-72712a917939 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 1

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Source-reported events for the cited work

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Observation ae78e377-e94c-434c-beb5-daf85b20551d · outbound

This paper cites Is space-time attention all you need for video understanding? In ICML, 2021.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Is space-time attention all you need for video understanding? In ICML, 2021

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.901470Z

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Observation 0b09ca38-e901-43f5-b616-2b975ff4c6a7 · outbound

This paper cites Sigmoid- weighted linear units for neural network function approxi- mation in reinforcement learning.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Sigmoid- weighted linear units for neural network function approxi- mation in reinforcement learning

Reference 3

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Source-reported events for the cited work

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Observation 494e5c2e-5ede-4ef7-a7e3-637a837b1294 · outbound

This paper cites Digital image process- ing.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Digital image process- ing

Reference 4

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Observation 9f3a6616-4f9c-4b07-8000-43dc8dc4df83 · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T13:29:58.932800Z

Source-reported events for the cited work

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Observation 0a40730e-ceae-43eb-a96e-c451c510611e · outbound

This paper cites Denoising diffu- sion probabilistic models.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Denoising diffu- sion probabilistic models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T13:29:58.938005Z

Source-reported events for the cited work

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Observation 178c04bb-a860-43a0-a855-f36f4677cf5f · outbound

This paper cites Video dif- fusion models.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Video dif- fusion models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d075ec8-f105-43ac-ba66-a3146a61a6fc · outbound

This paper cites L-DiffER: Single image reflection removal with language-based diffusion model.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation L-DiffER: Single image reflection removal with language-based diffusion model

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.840348Z

Source-reported events for the cited work

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Observation a798eb74-3632-4963-b910-3a685e1f6701 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Arbitrary style transfer in real-time with adaptive instance normalization

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57f24a54-5572-40a2-a64d-0bce29ecc929 · outbound

This paper cites VBench: Comprehensive bench- mark suite for video generative models.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation VBench: Comprehensive bench- mark suite for video generative models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.815586Z

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Observation 635f8577-bc7d-4001-a36b-84588ba375d9 · outbound

This paper cites Scope of va- lidity of psnr in image/video quality assessment.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Scope of va- lidity of psnr in image/video quality assessment

Reference 11

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Source-reported events for the cited work

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Observation d8f5a263-d1fe-40c8-8fa7-71be048b3da6 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Perceptual losses for real-time style transfer and super-resolution

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.790511Z

Source-reported events for the cited work

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Observation c704d836-70c9-4185-9e13-850e183a5a87 · outbound

This paper cites RA VE: Randomized noise shuf- fling for fast and consistent video editing with diffusion mod- els.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation RA VE: Randomized noise shuf- fling for fast and consistent video editing with diffusion mod- els

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.775947Z

Source-reported events for the cited work

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Observation 00619ca1-e25f-46fb-8e76-8afc95c88526 · outbound

This paper cites Text2Video-Zero: Text- to-image diffusion models are zero-shot video generators.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Text2Video-Zero: Text- to-image diffusion models are zero-shot video generators

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.761493Z

Source-reported events for the cited work

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Observation f1fffb00-f884-4a86-8157-45787a27e660 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Adam: A Method for Stochastic Optimization

Reference 15

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Source-reported events for the cited work

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Observation 2d485f0c-3a39-4f67-bd6f-61225de5ed1c · outbound

This paper cites On information and sufficiency.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation On information and sufficiency

Reference 16

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Source-reported events for the cited work

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Observation 3a21e06c-be5a-4c50-8d48-94813532d102 · outbound

This paper cites Multi-concept customization of text-to-image diffusion.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Multi-concept customization of text-to-image diffusion

Reference 17

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Source-reported events for the cited work

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Observation 6644b61f-a134-472a-950f-518710e9d908 · outbound

This paper cites VidToMe: Video token merging for zero-shot video editing.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation VidToMe: Video token merging for zero-shot video editing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.721303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 091f2d57-f861-458b-acb3-9c80d247feaf · outbound

This paper cites Flow matching for generative modeling.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Flow matching for generative modeling

Reference 19

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Source-reported events for the cited work

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Observation 58b5fe4d-2941-47bc-9312-bc31b852f894 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 20

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Source-reported events for the cited work

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Observation 11e09c46-724f-440d-b156-f34f4c23f5eb · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equa- tions.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation SDEdit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 21

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Source-reported events for the cited work

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Observation 931ab61b-b006-49eb-a666-b476004b2bde · outbound

This paper cites T2I-Adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation T2I-Adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.673805Z

Source-reported events for the cited work

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Observation 87700ab4-1209-4499-8bd7-93eec6ac1b1c · outbound

This paper cites Semantic image synthesis with spatially-adaptive nor- malization.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Semantic image synthesis with spatially-adaptive nor- malization

Reference 23

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Source-reported events for the cited work

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Observation ccf6aea1-26c5-4d33-81cc-7e93da5d976d · outbound

This paper cites Zero-shot image-to-image translation.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Zero-shot image-to-image translation

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e653f0fd-d31f-4a94-9769-1cef8a0f4c3f · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation A benchmark dataset and evaluation methodology for video object segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.632660Z

Source-reported events for the cited work

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Observation be0fbd8b-5578-40b0-9ed8-722974215a48 · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation FiLM: Visual reasoning with a general conditioning layer

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.616839Z

Source-reported events for the cited work

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Observation b333c489-7d86-426a-b3cb-fa842f4e198d · outbound

This paper cites FateZero: Fus- ing attentions for zero-shot text-based video editing.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation FateZero: Fus- ing attentions for zero-shot text-based video editing

Reference 27

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Observation 325970f3-43b1-40a3-8f34-7724cbb41e0c · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Learn- ing transferable visual models from natural language super- vision

Reference 28

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Source-reported events for the cited work

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Observation 2a382dc7-8e64-4e0c-9571-b6e4df2c5040 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 29

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Observation 62824420-8e27-427f-bc88-8b91bd15877e · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation SAM 2: Segment Anything in Images and Videos

Reference 30

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Source-reported events for the cited work

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Observation 4827f5de-3482-4538-8343-de52729a7769 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation High-resolution image syn- thesis with latent diffusion models

Reference 31

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Observation fe9b9e2e-e552-40db-a10b-5f5926499019 · outbound

This paper cites DreamBooth: Fine tuning text-to-image diffusion models for subject-driven generation.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation DreamBooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 32

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Observation a3c21f0d-9d76-4932-be10-eea45f7ad3a1 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Photorealistic text-to-image diffusion models with deep language understanding

Reference 33

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This paper cites Denois- ing diffusion implicit models.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Denois- ing diffusion implicit models

Reference 34

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This paper cites Interpretable 3D human action analysis with temporal convolutional networks.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Interpretable 3D human action analysis with temporal convolutional networks

Reference 35

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Observation 73fdab96-0d2b-4e16-bc40-035b3de460fb · outbound

This paper cites Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising

Reference 36

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This paper cites VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models

Reference 37

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Observation 911f6c40-cf1c-4343-9081-4b5b13c862f8 · outbound

This paper cites VideoComposer: Compositional video synthesis with motion controllability.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation VideoComposer: Compositional video synthesis with motion controllability

Reference 38

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Observation 7f0dedbd-07e4-40a2-9b74-5081dafae0b0 · outbound

This paper cites SinSR: diffusion-based image super- resolution in a single step.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation SinSR: diffusion-based image super- resolution in a single step

Reference 39

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This paper cites Bovik, Hamid R.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Bovik, Hamid R

Reference 40

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Observation 2a4bbe82-c3de-4761-9f2f-ed2a1c06299f · outbound

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VIRES: Video Instance Repainting via Sketch and Text Guided Generation L-CAD: Language-based colorization with any-level descriptions using diffusion priors

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.455860Z

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Observation f12d2e24-6d17-40a8-9d38-f924e18a5c21 · outbound

This paper cites Tune-A-Video: One-shot tuning of image diffusion models for text-to-video generation.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Tune-A-Video: One-shot tuning of image diffusion models for text-to-video generation

Reference 42

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VIRES: Video Instance Repainting via Sketch and Text Guided Generation Group normalization

Reference 43

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VIRES: Video Instance Repainting via Sketch and Text Guided Generation Holistically-nested edge de- tection

Reference 44

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Observation 174f776a-ec3d-489d-9cf7-b75536be5995 · outbound

This paper cites PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Reference 45

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Source-reported events for the cited work

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Observation 79054d7b-5931-4890-9dec-e93b9c8041d6 · outbound

This paper cites Depth Anything V2.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Depth Anything V2

Reference 46

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Source-reported events for the cited work

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This paper cites Rerender a video: Zero-shot text-guided video-to-video translation.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Rerender a video: Zero-shot text-guided video-to-video translation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.405529Z

Source-reported events for the cited work

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Observation 14fa1c86-405a-4889-8316-3dd6d9fd47fe · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 48

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Source-reported events for the cited work

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VIRES: Video Instance Repainting via Sketch and Text Guided Generation Language model beats diffusion-tokenizer is key to visual generation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.390205Z

Source-reported events for the cited work

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Observation dba27e5a-846e-4561-b875-75c7d901dc82 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Adding conditional control to text-to-image diffusion models

Reference 50

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This paper cites ControlVideo: Training-free controllable text-to-video generation.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation ControlVideo: Training-free controllable text-to-video generation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.364635Z

Source-reported events for the cited work

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Observation e0f3f341-0811-4925-9b1a-9a9e61bd6291 · outbound

This paper cites Open-Sora: Democratizing efficient video production for all, 2024.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Open-Sora: Democratizing efficient video production for all, 2024

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:29:59.349056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5749ee67-3660-4968-aec5-4d747236948e · outbound

This paper cites Allegro: Open the Black Box of Commercial-Level Video Generation Model.

VIRES: Video Instance Repainting via Sketch and Text Guided Generation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T13:29:59.155701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 89ee7eed-8e20-4c77-99e1-711171968f18 · inbound

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion cites this paper.

Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion VIRES: Video Instance Repainting via Sketch and Text Guided Generation

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:18:19.535839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69d6b6b6-a0a4-4dd1-8ca9-7aa53a39df81 · inbound

TIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restoration cites this paper.

TIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restoration VIRES: Video Instance Repainting via Sketch and Text Guided Generation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:19:57.947045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b6e8d568-da58-418c-bb76-ff9bc6ee697c · inbound

TIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restoration cites this paper.

TIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restoration VIRES: Video Instance Repainting via Sketch and Text Guided Generation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:55:35.630129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.