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Paper Citation Record · LEDGER

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration

As of 16 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 4 inbound Pith citation observations for arXiv:2501.01320.

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

pith.paper-citation-record.v1
2501.01320 v4

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:33:42.945959Z

measured 88 of 88 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:52:25.378257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T18:14:17.581272Z

Reference resolution

84 of 84 outbound references displayed

  • verified exact0
  • verified fuzzy62
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd3f3535-afa7-48ce-9488-a37b899c6106 · outbound

This paper cites https://laion.ai/blog/laion- aesthetics/, 2022.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration https://laion.ai/blog/laion- aesthetics/, 2022

Reference 1

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no resolver link, observed 2026-08-10T22:33:42.576617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.576617Z digest=sha256:723e62df67228a71be1dfd6b986e015f5d6040405d703c69a4adf7fbe509d03c

Observation 1953b82f-0fe7-4e99-87d0-ebee341fcc18 · outbound

This paper cites https://huggingface.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration https://huggingface

Reference 2

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no resolver link, observed 2026-08-10T22:33:42.581581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.581581Z digest=sha256:6340f75fd85a52d8945b7e9d96c475a09b75d05cd56be405ee8bc9f70f7564c5

Observation bf88316d-1157-4c9c-95c0-54e5b5696471 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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no resolver link, observed 2026-08-10T22:33:42.586088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.586088Z digest=sha256:abfa17e925526ce2b2b16104fa451eb7a96f570c85c2cf62efc39f7296749115

Observation 6af79813-f841-47a3-9e1d-b5f390c5a032 · outbound

This paper cites BasicVSR: The search for essential com- ponents in video super-resolution and beyond.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration BasicVSR: The search for essential com- ponents in video super-resolution and beyond

Reference 4

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no resolver link, observed 2026-08-10T22:33:42.590496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.590496Z digest=sha256:da40de8b41c62ced90f08c8243940448bfecd44340f4845ae383b77f60eff5e9

Observation 5afd811a-152a-41e7-aa04-7597cd304e61 · outbound

This paper cites BasicVSR++: Improving video super- resolution with enhanced propagation and alignment.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration BasicVSR++: Improving video super- resolution with enhanced propagation and alignment

Reference 5

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unresolved
no resolver link, observed 2026-08-10T22:33:42.595161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.595161Z digest=sha256:54d8bb73aba976f0887c2563a535c4382180b84354baddd782d7b7c2de0dbac4

Observation 3a68c385-fbcf-461e-ae63-8c829873fe47 · outbound

This paper cites Chan, Shangchen Zhou, Xiangyu Xu, and Chen Change Loy.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Chan, Shangchen Zhou, Xiangyu Xu, and Chen Change Loy

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.276486Z

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.

source=pdf_text observed=2026-08-10T22:33:42.599884Z digest=sha256:e60b6a9ab9c22cf8773823a789d2a5de90267f0374a2f25c596f6e828c709927

Observation 0e2865d7-8c2f-434a-a921-8ccb0994c51b · outbound

This paper cites Pre-trained image processing transformer.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Pre-trained image processing transformer

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.262765Z

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.

source=pdf_text observed=2026-08-10T22:33:42.604776Z digest=sha256:b62c515c2835e58af23c2212acbbbcb0a8f7b7fa2ac5e68734fa823bb682ef57

Observation 545fc390-4158-4fce-af42-997c3ae53f52 · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 8

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no resolver link, observed 2026-08-10T22:33:42.609778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.609778Z digest=sha256:0fe87d83fa0aa3891fbf7b7fade0223f847640ad86e2746db8f32181ec774f2e

Observation d7ad9f7c-1c04-42f7-ac9a-6acfe16232ef · outbound

This paper cites PixArt- α: Fast training of diffusion transformer for photorealistic text-to-image synthe- sis.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration PixArt- α: Fast training of diffusion transformer for photorealistic text-to-image synthe- sis

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.247812Z

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.

source=pdf_text observed=2026-08-10T22:33:42.614522Z digest=sha256:5353b84ffb7d99f484654c1deb50cfe03e1a6bdccb1de8479e109b96a61458d9

Observation b7a55df4-e2bd-4bdf-b09e-60fcd802db87 · outbound

This paper cites FIT: Far-reaching Interleaved Transformers.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration FIT: Far-reaching Interleaved Transformers

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.619061Z digest=sha256:c91c383837481ba87d1e8a13a0701484bf0b3f6493794ae5aeaf9fb2b648a15f

Observation d163a89a-d38d-4239-b33c-de1631b47ba0 · outbound

This paper cites Activating more pixels in image super-resolution transformer.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Activating more pixels in image super-resolution transformer

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.232438Z

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.

source=pdf_text observed=2026-08-10T22:33:42.624466Z digest=sha256:31c5e922623c9fbfb18be68abdaa4039c8bc4f84f9ea985d0c04b7fb10e452db

Observation db71a2a4-df66-41c8-9caa-21fd637e996f · outbound

This paper cites Learning spatial adaptation and temporal coherence in diffusion models for video super- resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Learning spatial adaptation and temporal coherence in diffusion models for video super- resolution

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.217698Z

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.

source=pdf_text observed=2026-08-10T22:33:42.629114Z digest=sha256:9c438139ffef43a30c8c0fb7885cb7bad9c5702bf6de7123c3c4c8dd519b1a26

Observation 3dab6527-2006-4924-8bea-28ab90cbc689 · outbound

This paper cites Reproducible scal- ing laws for contrastive language-image learning.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Reproducible scal- ing laws for contrastive language-image learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.203022Z

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.

source=pdf_text observed=2026-08-10T22:33:42.633636Z digest=sha256:f3309212f6e07ef188b38b54bcaf8c3c7bc7e0690ae56fb9ea9e896a064fd81f

Observation 169ee1d7-e520-4312-b234-ce1ba3f8f8bf · outbound

This paper cites FlashAttention-2: Faster attention with better paral- lelism and work partitioning.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration FlashAttention-2: Faster attention with better paral- lelism and work partitioning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.187929Z

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.

source=pdf_text observed=2026-08-10T22:33:42.638157Z digest=sha256:a28c4cc237279fe5cf9c95839649c5fbd8cd42dda8b11fdea2f19fb5e1d805fd

Observation 2718bc0f-015b-40d5-8300-ad14e4737a3e · outbound

This paper cites Patch n’pack: Navit, a vision transformer for any aspect ratio and resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Patch n’pack: Navit, a vision transformer for any aspect ratio and resolution

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.172847Z

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.

source=pdf_text observed=2026-08-10T22:33:42.642422Z digest=sha256:15bfc138ad1014e3a954e3f6533ffa7ea4e44be6b5524f228922e426b5271606

Observation 7db7068b-7769-47f6-aa98-ac4cfde325ef · outbound

This paper cites Image quality assessment: Unifying structure and texture sim- ilarity.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Image quality assessment: Unifying structure and texture sim- ilarity

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.156938Z

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.

source=pdf_text observed=2026-08-10T22:33:42.646920Z digest=sha256:8b6f81e442baa2140d8000cde5d82799ceb070f7dc352bf659d852bb4d75f305

Observation ed5bce02-d6e5-4ea2-8c8d-bb07c4c69fee · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.143515Z

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.

source=pdf_text observed=2026-08-10T22:33:42.651478Z digest=sha256:13a93c176ac7a545cfaa7b252e051c5e7dd72bf727495dbfdc238bdc60d2686e

Observation 6d12b4d6-4c4c-4f28-b795-f697c8eec817 · outbound

This paper cites Generative adversarial networks.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Generative adversarial networks

Reference 18

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 5482092b-24af-4e5e-a762-c5ae11d77f7f · outbound

This paper cites Diffit: Diffusion vision transformers for image generation.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Diffit: Diffusion vision transformers for image generation

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.112881Z

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.

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Observation 4bf46868-bc57-4ae1-a626-60e968056812 · outbound

This paper cites VEnhancer: Generative Space-Time Enhancement for Video Generation.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration VEnhancer: Generative Space-Time Enhancement for Video Generation

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.665735Z digest=sha256:f8a375e8f5c4f19654665f32b3e65e458d179d9858b65531c1967982a3d6fe8c

Observation a14ae2d6-8166-4895-895a-5e5b34263a82 · outbound

This paper cites Denoising dif- fusion probabilistic models.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Denoising dif- fusion probabilistic models

Reference 21

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verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T22:33:42.670328Z digest=sha256:34fffd24fca8cae5ebf72a45ee34f52c4b4a9ebfdadafb61d21ac6cb61d9c919

Observation c1a93a96-eb9d-4904-986b-99d56ae1e828 · outbound

This paper cites Bidirectional recur- rent convolutional networks for multi-frame super-resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Bidirectional recur- rent convolutional networks for multi-frame super-resolution

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.083404Z

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.

source=pdf_text observed=2026-08-10T22:33:42.674670Z digest=sha256:b3ddcbe9cbeddc2fca0876c5cb809a4b6cdd39338f24c90bd21e263cd4069f6b

Observation 48c17108-bd0b-4b29-8eaa-06cc3e962ee2 · outbound

This paper cites Video super-resolution with recurrent structure-detail network.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Video super-resolution with recurrent structure-detail network

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.068604Z

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.

source=pdf_text observed=2026-08-10T22:33:42.678954Z digest=sha256:296c1f537c14e705f73dee143dca12c8fb07d59bd23db8c4046c6da7ffa0aaa6

Observation 22175d74-1d05-4116-8808-4d42b08b999b · outbound

This paper cites Mixture of Diffusers for scene composition and high resolution image generation.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Mixture of Diffusers for scene composition and high resolution image generation

Reference 24

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no resolver link, observed 2026-08-10T22:33:42.683134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.683134Z digest=sha256:cf0e2a493177d0af452fc889f91509eb6f36b5a3e6a1271d2e166d7cd72fc573

Observation d07f6999-c35e-4c1a-a1f4-5b7f4948d317 · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Pyramidal flow matching for efficient video generative modeling

Reference 25

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unresolved
no resolver link, observed 2026-08-10T22:33:42.687904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.687904Z digest=sha256:1cb993a992d55f392e2f158b51357a922f9be3b860124b8560f0b1071b554ccd

Observation 780f28c5-d3bb-42a5-b737-c371592010f1 · outbound

This paper cites Musiq: Multi-scale image quality transformer.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Musiq: Multi-scale image quality transformer

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.053954Z

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.

source=pdf_text observed=2026-08-10T22:33:42.692646Z digest=sha256:a24f53a551b4ed5b4a6863e26a4871f24385d2282c5eb8f11956a75608e0df71

Observation d0f66b7a-863f-424b-b8e5-37c71aa3c29e · outbound

This paper cites VideoPoet: A large lan- guage model for zero-shot video generation.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration VideoPoet: A large lan- guage model for zero-shot video generation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.040146Z

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.

source=pdf_text observed=2026-08-10T22:33:42.697328Z digest=sha256:b444807039d368a7b3382c99a8eee2b5b787cc2202bcb3867e45e4a74dffb5ed

Observation fa6b3a2e-46b9-4880-b5ad-430622bc2516 · outbound

This paper cites Open-sora-plan.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Open-sora-plan

Reference 28

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no resolver link, observed 2026-08-10T22:33:42.702125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.702125Z digest=sha256:36910cbc8bfdac90fe42dc46ed078eae9ebbf6e2c4422218a61a0e4ad9c87a0d

Observation a35ddbf0-06a2-47e3-ba4e-28ba997556ac · outbound

This paper cites A simple baseline for video restoration with grouped spatial- temporal shift.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration A simple baseline for video restoration with grouped spatial- temporal shift

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.025810Z

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.

source=pdf_text observed=2026-08-10T22:33:42.706591Z digest=sha256:bb426b0f9d823b5b20ce26bc9ab1907b620f972d41a43634707991b4d2996537

Observation f407df20-bd64-4035-920a-d02445d15108 · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T22:33:42.710583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.710583Z digest=sha256:8aaba7934f6d5f15a538199b1a89810d0ea3aae3501031be65e859504fe750a6

Observation 6c324d13-7907-4c54-b366-677c63fe18c6 · outbound

This paper cites SwinIR: Image restoration using swin transformer.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration SwinIR: Image restoration using swin transformer

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:44.010715Z

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.

source=pdf_text observed=2026-08-10T22:33:42.714697Z digest=sha256:94526ddbd2346d60199ce330a48bfa2cd0c3656de96569bf5eddcbc6a86e2cf7

Observation 97ee12a8-ba42-42d1-877d-5d4034b80889 · outbound

This paper cites Recurrent video restoration transformer with guided deformable attention.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Recurrent video restoration transformer with guided deformable attention

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.995968Z

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.

source=pdf_text observed=2026-08-10T22:33:42.718633Z digest=sha256:c3fb108f7edf52ad247fcfe7da14c21f82c1180491139a1aed72428bb7baab93

Observation 7f96c9d9-644f-46aa-b1c7-1173f8ffc2ef · outbound

This paper cites VRT: A video restoration transformer.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration VRT: A video restoration transformer

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.980460Z

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.

source=pdf_text observed=2026-08-10T22:33:42.722530Z digest=sha256:e2460ac0abe6fc189aece13e832484e04f187f8cb46e2ff7013a64d64206320e

Observation be2d755c-7c2f-452d-ba20-0a394131157d · outbound

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

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 34

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no resolver link, observed 2026-08-10T22:33:42.726300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.726300Z digest=sha256:5ee5dbdc83457520e2d0f4cf5f5e04d6227409af4a346a755788c0143d20f683

Observation f9ec241b-43d7-4416-9e8e-5591af2244b3 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Swin transformer: Hierarchical vision transformer using shifted windows

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.965083Z

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.

source=pdf_text observed=2026-08-10T22:33:42.730810Z digest=sha256:081eb0f7f21f579cbaf1674723578f7e16b1793dc906dad25fa37593057a6429

Observation 9dee919e-d9fa-4b9a-a213-3324d3130794 · outbound

This paper cites Video swin transformer.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Video swin transformer

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.951178Z

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.

source=pdf_text observed=2026-08-10T22:33:42.734795Z digest=sha256:d2b02549a9470f148bb055bc5fb149b9e0dc77f1d7563c3b8fc1d9dd85f6ff67

Observation 09db0efe-ea27-4859-8217-ccd7b0f217fd · outbound

This paper cites completely blind.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration completely blind

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.936880Z

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.

source=pdf_text observed=2026-08-10T22:33:42.738834Z digest=sha256:ee88f951df1d4b7cec5bba6d5274bd71ae767a6daa2f5396928f7d8ad847bea4

Observation 5c8d82ac-e988-4831-a789-d9e25269f745 · outbound

This paper cites NTIRE 2019 challenge on video deblurring and super-resolution: Dataset and study.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration NTIRE 2019 challenge on video deblurring and super-resolution: Dataset and study

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.921977Z

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.

source=pdf_text observed=2026-08-10T22:33:42.743250Z digest=sha256:60053260bfd1762c4ca25a6bb64944f9ade455d99b7ba502285b344294046729

Observation f0ddf080-145a-40da-b6e2-244902915e04 · outbound

This paper cites Glide: Towards photorealistic image gen- eration and editing with text-guided diffusion models.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Glide: Towards photorealistic image gen- eration and editing with text-guided diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.906595Z

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.

source=pdf_text observed=2026-08-10T22:33:42.747818Z digest=sha256:04ff8d9b82a8c17f71ecaee9334934d02109bcf7654ff60f9a0e17fab4d66fb1

Observation 41c3ea41-29c2-4ddc-99bd-b8ba43425060 · outbound

This paper cites Scalable diffusion models with transformers.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Scalable diffusion models with transformers

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.891697Z

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.

source=pdf_text observed=2026-08-10T22:33:42.752203Z digest=sha256:23ac2b7ec714aa14010bf83b397204e85df804b9f292c4eb28ed792d60962fe4

Observation 06888bc5-884b-41fc-b372-d60b7c608543 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Movie Gen: A Cast of Media Foundation Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T22:33:42.756616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.756616Z digest=sha256:77150c6be3ac657a3b2ed79df3944767144a963e7b5c4d9c7050b57057547d89

Observation 2a6737dd-d604-422b-a5c6-564b100f326a · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Learning transferable visual models from natural language supervi- sion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.876475Z

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.

source=pdf_text observed=2026-08-10T22:33:42.761441Z digest=sha256:dafbb5723465263a37e1c0b9ac727c86ba58d4a4339baa6e2820cdfb373d4549

Observation 9f08bfcf-4405-4d76-b899-3a61b5258b2d · outbound

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

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.861452Z

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.

source=pdf_text observed=2026-08-10T22:33:42.766102Z digest=sha256:4a4e8f97ad471266c4f200bb025a47f80baa033a6d9d0c2531a941508d3c285c

Observation eb2312fb-f248-4819-a6a9-e5bb51ca0e9e · outbound

This paper cites Cosmos tokenizer: A suite of image and video neural tokenizers.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Cosmos tokenizer: A suite of image and video neural tokenizers

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.846110Z

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.

source=pdf_text observed=2026-08-10T22:33:42.770260Z digest=sha256:b38a62d9cd99cf64436dd0cff8b455567c5e2494491175accbb3b36bb175b01e

Observation 45fdaeea-6eb2-4fc1-82c8-9501f529c98f · outbound

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

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration High-resolution image synthesis with latent diffusion models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.832009Z

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.

source=pdf_text observed=2026-08-10T22:33:42.774666Z digest=sha256:2b158240f8fbd47c77f6241350778881823cf5addf606d118db3ba4b06657c64

Observation 69c3a078-1010-49e3-9c46-d582bd7f5958 · outbound

This paper cites Frame-recurrent video super-resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Frame-recurrent video super-resolution

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.818005Z

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.

source=pdf_text observed=2026-08-10T22:33:42.778673Z digest=sha256:989bdec473ccbfe153effc3b456b7146f64d6fa01acccefcafb383bcaa0c07a3

Observation 5f9a1496-0b76-4730-8cea-d7ef9af7aa61 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Deep unsupervised learning using nonequilibrium thermodynamics

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.801401Z

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.

source=pdf_text observed=2026-08-10T22:33:42.783133Z digest=sha256:2f3ab6ac277ee9a5a4a9d82d9bd732f834c6c04a7964f6f7fb603395a9bf711d

Observation b87c95e4-10b1-4919-b51f-34a05ee9e8c7 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Roformer: Enhanced transformer with rotary position embedding

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.786234Z

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.

source=pdf_text observed=2026-08-10T22:33:42.787642Z digest=sha256:1d7b7a21a0bc8d2ea8f75a926d39efbf2b66175768f940419a983274b378e12d

Observation 1ce7cf43-d751-428a-9a55-9c1388558c03 · outbound

This paper cites Detail-revealing deep video super-resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Detail-revealing deep video super-resolution

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.771471Z

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.

source=pdf_text observed=2026-08-10T22:33:42.791934Z digest=sha256:2556b59feb943b6e6fac38f27535f80ab3a105c8332d99f73eb1bf22de92f7c1

Observation 2e822469-5ad7-4e6a-a103-5bd10b5efd4a · outbound

This paper cites TDAN: Temporally-deformable alignment network for video super-resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration TDAN: Temporally-deformable alignment network for video super-resolution

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.755971Z

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.

source=pdf_text observed=2026-08-10T22:33:42.795949Z digest=sha256:c85b589371e31aa2e2fbbb1ab2151d3faf9012c2a12b96c7aca9b9eb09303c9c

Observation a8c5b9bd-8e7a-4089-a0ed-e93832619eac · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T22:33:42.800870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.800870Z digest=sha256:cde833d63bda7586e9ce932cf6715575e6642ffb588257a0230ccb7a60d28922

Observation 4b42df6d-2b9c-48e3-a13e-cb436daf9e96 · outbound

This paper cites Attention is all you need.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Attention is all you need

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.741032Z

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.

source=pdf_text observed=2026-08-10T22:33:42.805366Z digest=sha256:39e639862427652c9845c9c08431327440e3771f861c983a99bf44175fdade3e

Observation 0d4d614d-b0cb-4a70-9293-771727ddc43c · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Ex- ploring clip for assessing the look and feel of images

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.726672Z

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.

source=pdf_text observed=2026-08-10T22:33:42.810220Z digest=sha256:2f581646013bda972035005f4485c742fb4c47b34363c28ac9d8b73cb0858962

Observation b53b5b01-ccaa-4da4-a43d-ab86054f56a9 · outbound

This paper cites Chan, and Chen Change Loy.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Chan, and Chen Change Loy

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.711778Z

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.

source=pdf_text observed=2026-08-10T22:33:42.814734Z digest=sha256:43c2edc42b447b1856ebc1a0057e795acd5865987bb9d9f77b150f57abb83fdf

Observation 2df4d516-2155-4817-960f-a1ca06aee9c0 · outbound

This paper cites Edvr: Video restoration with enhanced deformable convolutional networks.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Edvr: Video restoration with enhanced deformable convolutional networks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.696951Z

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.

source=pdf_text observed=2026-08-10T22:33:42.818999Z digest=sha256:891bf2c37a4706a8fb67d3684d56b59098abfb97faa56b85a33c291ff5c10f5d

Observation 5264ef53-c5f7-4f19-8658-7097c91f3938 · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.681920Z

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.

source=pdf_text observed=2026-08-10T22:33:42.823335Z digest=sha256:20e03867ecf46b59e84b790f2c1ca26a7eb38546f9a7a1a87e9c69ec73a51305

Observation 9c3e5919-7800-4858-b320-48cab830e802 · outbound

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

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration VideoComposer: Compositional video synthesis with motion controllability

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.667172Z

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.

source=pdf_text observed=2026-08-10T22:33:42.827717Z digest=sha256:682dd131da9f254f687e89f8d75ac3191d9602729314e24ffe031fe597e87e1d

Observation 23a8a5e0-bcac-4d9a-8420-1ae197b07633 · outbound

This paper cites Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.651925Z

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.

source=pdf_text observed=2026-08-10T22:33:42.832097Z digest=sha256:2c913c6e6397b4cfb128e9ce5b6009586e60a9489c57a3798712b68c3b78ae14

Observation 540fd073-bd1d-41dc-9c52-6f4279539ed7 · outbound

This paper cites Exploring video quality assessment on user generated contents from aesthetic and technical perspectives.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Exploring video quality assessment on user generated contents from aesthetic and technical perspectives

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.637431Z

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.

source=pdf_text observed=2026-08-10T22:33:42.836697Z digest=sha256:964a3922507a87bcfd2763af514363a635426d3829788c1b802c26f124ec3842

Observation b1358c03-b3fe-46d3-8e7f-565bbf057b95 · outbound

This paper cites SeeSR: Towards semantics-aware real-world image super-resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration SeeSR: Towards semantics-aware real-world image super-resolution

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.621990Z

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.

source=pdf_text observed=2026-08-10T22:33:42.840808Z digest=sha256:11efe8963381e47aac72329bfb1c7c9ff6ff5f4c4fb017955ec16411f3f58c85

Observation e2bf12ed-cf65-45f4-94ad-7e86606eead4 · outbound

This paper cites Mitigating artifacts in real-world video super-resolution models.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Mitigating artifacts in real-world video super-resolution models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.607405Z

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.

source=pdf_text observed=2026-08-10T22:33:42.845002Z digest=sha256:ee7d789024f4532920286d92adf634ddc20c9cff4ea876134eb48876af3e7de0

Observation 2fc0e92b-8b61-467a-9b4b-33c71bfb683d · outbound

This paper cites an unresolved cited work.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:33:43.593151Z

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.

source=pdf_text observed=2026-08-10T22:33:42.849233Z digest=sha256:4f2faa5f7f8a7f77b71e18d85732a86bb7cec9be97fe9aa1fba671de632c2752

Observation 5085b4ac-8c97-44ce-945a-e8bb9c0be675 · outbound

This paper cites Real- world video super-resolution: A benchmark dataset and a decomposition based learning scheme.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Real- world video super-resolution: A benchmark dataset and a decomposition based learning scheme

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.578576Z

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.

source=pdf_text observed=2026-08-10T22:33:42.853489Z digest=sha256:0320d8d3abd421ab21fbf9715a6e4cd84132f7d4fb0e117dbd06b3884d8d98eb

Observation 7f43bcb7-3a96-4593-a965-c059f728db7e · outbound

This paper cites Motion- guided latent diffusion for temporally consistent real-world video super-resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Motion- guided latent diffusion for temporally consistent real-world video super-resolution

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.563810Z

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.

source=pdf_text observed=2026-08-10T22:33:42.857831Z digest=sha256:4efa51ed1a7a2ee2d175ca61de821bc04366a93d104919950d9097e535f69e1e

Observation 4d1e5129-6d8b-4c8b-bb95-814c2b1874ca · outbound

This paper cites Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T22:33:42.861644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.861644Z digest=sha256:cf8d425cec141dd2145d7d79870caade6911051e46bb0f028c7336914a98ca31

Observation aae4eb55-d5dd-45b2-86e4-8f1081d125ec · outbound

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

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-10T22:33:42.866016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.866016Z digest=sha256:59d31fb8964414785ca1340d7ade7a19e1d4888364b4ad56f67bc5da639b921b

Observation 7fca47ef-d73e-4eec-bfa6-2cc8e6e7e2c0 · outbound

This paper cites Diffir2vr- zero: Zero-shot video restoration with diffusion-based image restoration models.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Diffir2vr- zero: Zero-shot video restoration with diffusion-based image restoration models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T22:33:42.870678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.870678Z digest=sha256:c9146b55eadbfaa8056d066d9be953480ede910b66fab253fd56f6e8cd6fd6ca

Observation ef0db7ea-4a19-4baf-ae70-fc362d25fa52 · outbound

This paper cites Progressive fusion video super-resolution network via exploiting non-local spatio-temporal correlations.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Progressive fusion video super-resolution network via exploiting non-local spatio-temporal correlations

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.549107Z

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.

source=pdf_text observed=2026-08-10T22:33:42.874514Z digest=sha256:946779ff0c5491638790cc4b42f2810eae5ead653b7deef6315ec0a2b2494c22

Observation 8e112f47-0cb2-4c7f-97ce-dc8252ca7fd2 · outbound

This paper cites FMA-Net: Flow-guided dynamic filtering and iterative feature refine- ment with multi-attention for joint video super-resolution and deblurring.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration FMA-Net: Flow-guided dynamic filtering and iterative feature refine- ment with multi-attention for joint video super-resolution and deblurring

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.533602Z

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.

source=pdf_text observed=2026-08-10T22:33:42.878400Z digest=sha256:dc980724914edd03ae18476b7cde3161cac6d2a9921fa3056cbbdc409fb05475

Observation 25fadbb8-110f-41f9-821f-17036d451c15 · outbound

This paper cites Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.518472Z

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.

source=pdf_text observed=2026-08-10T22:33:42.883023Z digest=sha256:2b116f41761223572e90f9da4b16e4bacd9df947105e2fa42915f4aab0a339a8

Observation b204ba8d-7625-4425-96ca-731dc3e76587 · outbound

This paper cites Language model beats diffusion - tokenizer is key to visual generation.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Language model beats diffusion - tokenizer is key to visual generation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.503388Z

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.

source=pdf_text observed=2026-08-10T22:33:42.887716Z digest=sha256:6b7826836c29e539ccdc8b193cb4d8c50bfbb6a15c201c48d21464cf262be3f9

Observation a44ce018-b9e4-4de8-a25b-4c8216f2ba75 · outbound

This paper cites DifFace: Blind Face Restoration with Diffused Error Contraction.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration DifFace: Blind Face Restoration with Diffused Error Contraction

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T22:33:42.892241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.892241Z digest=sha256:629a8058065df0b815d2ff8ae0c61d4f68eeee3486cf6de9e388b8a11394c164

Observation 1a7b5889-1653-4600-a872-c8198563f401 · outbound

This paper cites Resshift: Efficient diffusion model for image super-resolution by resid- ual shifting.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Resshift: Efficient diffusion model for image super-resolution by resid- ual shifting

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.488453Z

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.

source=pdf_text observed=2026-08-10T22:33:42.896869Z digest=sha256:6813e9a2b49d6d4538c1ed0a22121d3c7172bfb178123bb380e950667ba95f58

Observation f70b641e-2eee-4e06-bea9-d92ed24467f7 · outbound

This paper cites Effi- cient diffusion model for image restoration by residual shift- ing.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Effi- cient diffusion model for image restoration by residual shift- ing

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.473046Z

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.

source=pdf_text observed=2026-08-10T22:33:42.902355Z digest=sha256:f8a8c17eea631252b9198a01cbdd1653c52ca503263b59d6bcf724cc430acdf3

Observation f7c1a489-f256-4670-9252-28d5561797a6 · outbound

This paper cites The unreasonable effectiveness of deep fea- tures as a perceptual metric.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration The unreasonable effectiveness of deep fea- tures as a perceptual metric

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.458859Z

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.

source=pdf_text observed=2026-08-10T22:33:42.907679Z digest=sha256:1af503c14da1dade4881656010be4c1068fe6a248e1da170590c9deab1a55f81

Observation cd0fae0c-c86f-450a-97d9-ccbfe2a340b3 · outbound

This paper cites The unreasonable effectiveness of deep fea- tures as a perceptual metric.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration The unreasonable effectiveness of deep fea- tures as a perceptual metric

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.444657Z

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.

source=pdf_text observed=2026-08-10T22:33:42.912216Z digest=sha256:ad6525834d06f41111006db9f9d93b971c564262e64c0293c4a6d98996f92774

Observation f436583e-59cc-4f55-92d9-299b95a44f15 · outbound

This paper cites RealViformer: Investigating attention for real-world video super-resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration RealViformer: Investigating attention for real-world video super-resolution

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.428969Z

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.

source=pdf_text observed=2026-08-10T22:33:42.916841Z digest=sha256:e8d56b905029d921ce6634e0634e037474b68ae4f69d8ad2d95ca21b52411b1b

Observation 11d377aa-f008-4167-b486-41850c23be6e · outbound

This paper cites Tora: Trajectory-oriented Diffusion Transformer for Video Generation.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Tora: Trajectory-oriented Diffusion Transformer for Video Generation

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-10T22:33:42.921044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.921044Z digest=sha256:0672594c4224d14b634ec79edef7039b877a5a4e8a640025a362c71fb6c9021e

Observation 3cc163d6-037c-4fbf-9608-f9a4f20cdec6 · outbound

This paper cites Cv-vae: A compatible video vae for latent generative video models.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Cv-vae: A compatible video vae for latent generative video models

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.411843Z

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.

source=pdf_text observed=2026-08-10T22:33:42.925480Z digest=sha256:34e399ff4d665feac35e7d8fa47a50aa1b4179c9a0186f97a1b0a4ed532cfa63

Observation 904c2041-37ad-4f91-ad19-46d6b13071d6 · outbound

This paper cites Open-sora: Democratizing efficient video production for all.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Open-sora: Democratizing efficient video production for all

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.396316Z

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.

source=pdf_text observed=2026-08-10T22:33:42.929333Z digest=sha256:d1f958273abea42dbde46017cbf4c9c1a6d0ef6783651c58fb3cd1cc2dc3cf78

Observation eb1ba082-e880-4395-adf2-1231ae0119f6 · outbound

This paper cites Chan, Chongyi Li, and Chen Change Loy.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Chan, Chongyi Li, and Chen Change Loy

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.381197Z

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.

source=pdf_text observed=2026-08-10T22:33:42.933171Z digest=sha256:f003d0e33fcbc218befff6ddd543e4112cfa50ff5b5bef7c2ce1338b0917559c

Observation 25ecae94-68df-4e55-82a2-f80827fbdb27 · outbound

This paper cites Upscale-A-Video: Temporal- consistent diffusion model for real-world video super- resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Upscale-A-Video: Temporal- consistent diffusion model for real-world video super- resolution

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.365193Z

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.

source=pdf_text observed=2026-08-10T22:33:42.937315Z digest=sha256:97fd4ed15d31f4e844782893e7a4025fee98e6a45a709e88162d351e62bbd6e0

Observation 67100869-fe68-4c32-9058-eabfd3c9458e · outbound

This paper cites SRFormer: Permuted self-attention for single image super-resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration SRFormer: Permuted self-attention for single image super-resolution

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:33:43.349531Z

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.

source=pdf_text observed=2026-08-10T22:33:42.941693Z digest=sha256:7fd68326c17851ebecca8da622b8a0af309b2fa44e3e45d0c707291177d03f05

Observation 310a8601-d823-4e9a-81c4-10ce845d44cd · outbound

This paper cites SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution.

SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-10T22:33:42.945959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:42.945959Z digest=sha256:c0d3395ac96836740ecf411cc96482b5df98a7400392db4d1201b5a8ec8a68c1

Pith citing papers

Observation d1950a46-d4a7-433c-a2c3-a70752f6b632 · inbound

Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis cites this paper.

Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T11:52:25.378257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:52:25.378257Z digest=sha256:d4ccdf3014e11c8f173cd1ed533e8645aee31dd1322ae9a9b642aa23a303f8c1

Observation 0da258f0-d998-4d49-afff-a4d965943c70 · inbound

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model cites this paper.

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T15:43:35.351643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:35.351643Z digest=sha256:604934ddbf60c5773760c7bd105f46d6e3835a39c275c2ecc9fbd6bfd1063aad

Observation 75eb13e1-e828-4652-8794-2ee5303f3f75 · inbound

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s cites this paper.

LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4$\times$RTX 4090s SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:34.430493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:34.430493Z digest=sha256:285cd74fd9466f0edd395bb7e298ed4c150824cf60f68421e7b88011f3571a0d

Observation cd963546-6a6e-4856-89fc-508233097579 · inbound

SURF: Signature-Retained Fast Video Generation cites this paper.

SURF: Signature-Retained Fast Video Generation SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:14:17.583788Z

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.

source=pdf_text observed=2026-05-21T18:11:39.642701Z digest=sha256:8c41ab712ca9d8b373245b09c97a584a519ec4ee4f98354c54d2003f166b04c6