Pith. sign in

Paper Citation Record · LEDGER

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation

As of 10 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2506.16119.

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

pith.paper-citation-record.v1
2506.16119 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:57.535396Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:13:18.570081Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:51.054099Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy14
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a34d4aac-7f57-4650-ace5-9716684ff403 · outbound

This paper cites A Noise is Worth Diffusion Guidance.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation A Noise is Worth Diffusion Guidance

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:53.244659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:53.244659Z digest=sha256:1fa486bf9c4b1211f18e7f419862e4331268669a371daa51d180f2fbe919bb46

Observation fb105ac8-fac1-48b8-b5f5-c6326ce1dfb7 · outbound

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

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:53.313544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:53.313544Z digest=sha256:170e3ce75d095fdd3f3ffd9254424480bfe4c3e60e4c702e73640741c44496d9

Observation a6c3ec74-a015-42f8-9241-a2e75cc0d662 · outbound

This paper cites Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:53.402851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:53.402851Z digest=sha256:cb3d062f735164227c26da83e0122fb78a0b664bf390e7cd0d88f64cbf6844c7

Observation 31c46ab7-a2af-4544-8122-2f1125a562af · outbound

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

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:53.469289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:53.469289Z digest=sha256:71b136b0ad8cdf5d1decb692baa35b236521bda98fa5055c6a0c9f47c432146a

Observation 78cc1ab4-4035-482e-a410-322141d4d12a · outbound

This paper cites Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models.ACM transactions on Graphics (TOG), 42(4):1–10, 2023.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models.ACM transactions on Graphics (TOG), 42(4):1–10, 2023

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:53.562565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:53.562565Z digest=sha256:346adff9c2025edc0e0261162db1726a81abc3217aef286a5b37f9be06682917

Observation 29414514-d100-4412-b662-a29605d36342 · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffusion models.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Videocrafter2: Overcoming data limitations for high-quality video diffusion models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:53.629334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:53.629334Z digest=sha256:d5e4a25be1bc95266ef02675afbc4b94afcefa5fe5f04f3aca9865122bbadb0f

Observation 0b488557-280d-4e56-ba3f-3875c3f91bc3 · outbound

This paper cites Preserve your own correlation: A noise prior for video diffusion models.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Preserve your own correlation: A noise prior for video diffusion models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:01.074501Z

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.

source=pdf_text observed=2026-08-06T23:49:53.736141Z digest=sha256:5e96c9a6e33b82ac644cb1a980a5d8bcee0dcc570026376b765fd39472464f03

Observation ce9715c3-0107-4f1b-a735-3f4c4b389046 · outbound

This paper cites Factorizing text-to-video generation by explicit image conditioning.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Factorizing text-to-video generation by explicit image conditioning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:53.805072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:53.805072Z digest=sha256:35be076bf9d84fcac6228d484483748e96692fc8d3d2351fdc01717c0b687768

Observation 0621ffaa-19cd-45e1-8177-721cf0d0ad3d · outbound

This paper cites Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:53.894676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:53.894676Z digest=sha256:9090e1965112422e8a97031ba73f3574b16d89c1285da74faeef18b9f666ac66

Observation 65886361-74b1-4c56-8cb7-893bbe273eef · outbound

This paper cites I4VGen: Image as Free Stepping Stone for Text-to-Video Generation.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation I4VGen: Image as Free Stepping Stone for Text-to-Video Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:53.980357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:53.980357Z digest=sha256:f36b3d032c643ad64c1040945812ed63b92098e38f4a6d483610b9cb67f454e9

Observation 9cfb0793-fc71-4e34-80cd-5e1700e5b4ae · outbound

This paper cites Initno: Boosting text-to-image diffusion models via initial noise optimization.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Initno: Boosting text-to-image diffusion models via initial noise optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:54.053043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:54.053043Z digest=sha256:c02e299115ac5a741336f57b7137ac906b74e4cbc44e4c7eba777db7ecabc4d8

Observation 8c92772f-ea80-4da5-9f1f-7df5927ed089 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:54.124164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:54.124164Z digest=sha256:11b09667afe892eecd6c6169f06b8844bb574412029030625aebc7f017b5e710

Observation c53a8221-b6de-44a2-bcd7-cb9c4a628ef6 · outbound

This paper cites Kingma, Ben Poole, Mohammad Norouzi, David J.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Kingma, Ben Poole, Mohammad Norouzi, David J

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:54.237821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:54.237821Z digest=sha256:82d53894767244cc2e2b7aad16adab316e1fb306b369f3ca409da120d9764357

Observation fb662e59-2bda-476d-92e3-8c74afa7a197 · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:54.320583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:54.320583Z digest=sha256:125d7bdbc5f38d8e6b382fad326e844f733dffdf947330f6f996033ab0f53150

Observation 8d45d331-12fd-4ac6-a5eb-7e16504e113e · outbound

This paper cites Hunyuanvideo: A systematic framework for large video generative models, 2025.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Hunyuanvideo: A systematic framework for large video generative models, 2025

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:00.941304Z

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.

source=pdf_text observed=2026-08-06T23:49:54.408665Z digest=sha256:6e6329db7ded37cf19aa5d5fe29e716244e916d3f13993f85b50f347e9ffde7b

Observation 83fb48dd-eb6e-4b34-870c-797d5b720a6e · outbound

This paper cites Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:54.533224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:54.533224Z digest=sha256:96eb7aaed308b79f7cbc7d15ad7a488908c13d8e909fa249cc751261daf597e6

Observation 8fdd355c-72dc-4b4b-b113-f0e524470fc8 · outbound

This paper cites Uniformer: Unified transformer for efficient spatiotemporal representation learning, 2022.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Uniformer: Unified transformer for efficient spatiotemporal representation learning, 2022

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:00.864412Z

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.

source=pdf_text observed=2026-08-06T23:49:54.638320Z digest=sha256:0a319609ddbb8365da66f9aaf1e82002034ea95a272e5d6d01a5c82ae4788a59

Observation d1587bd7-11cf-42c0-898d-a5b2322bd77f · outbound

This paper cites All seeds are not equal: Enhancing compositional text-to-image generation with reliable random seeds, 2025.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation All seeds are not equal: Enhancing compositional text-to-image generation with reliable random seeds, 2025

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:00.621424Z

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.

source=pdf_text observed=2026-08-06T23:49:54.744981Z digest=sha256:beb6cf87c1ca61f46b4c22162540b0838c1ca4c9889022ba880ccc0f482de997

Observation eec1184e-4ae9-4e96-a288-b699537949bc · outbound

This paper cites Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Tuning-Free Noise Rectification for High Fidelity Image-to-Video Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:54.836834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:54.836834Z digest=sha256:e1eb12c2611193d9f51ef2c5cbe61c93e7c2afe10c2905104a8f2a0a5392d802

Observation c3005abc-3d4e-4cb4-babc-c2cdb6eb6eee · outbound

This paper cites FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:54.958599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:54.958599Z digest=sha256:7f2af002bf238051b2f9c2b3133a7dfe4410f860dc9be063042f40b6cb54f324

Observation 077e67df-9275-485d-8091-d6228cf03924 · outbound

This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:55.062864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:55.062864Z digest=sha256:016f8af6ab6b0fc6503e5103f2997d2e33b87afc93dfdc4532c2573125d90b0d

Observation 5fc40e7c-2f57-4aec-9fb0-7e81091ee6a5 · outbound

This paper cites Sdedit: Guided image synthesis and editing with stochastic differential equations, 2022.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Sdedit: Guided image synthesis and editing with stochastic differential equations, 2022

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:55.140582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:55.140582Z digest=sha256:36cb815ebbfc4671df592907d1f7c6d3aef1d1ac8f803a921c64a4767ad6dbd1

Observation 3fc57036-1531-4e40-aed8-5a856dad101a · outbound

This paper cites Freenoise: Tuning-free longer video diffusion via noise rescheduling, 2023.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Freenoise: Tuning-free longer video diffusion via noise rescheduling, 2023

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:00.515750Z

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.

source=pdf_text observed=2026-08-06T23:49:55.259457Z digest=sha256:1a6365adb146d5d444066b39593cc7b0cfdc0d340e80bc2217c9f0c53cd63c4b

Observation b5ea5c53-6e0c-4dab-a5a4-623df694599d · outbound

This paper cites IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:49:58.084473Z

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.

source=pdf_text observed=2026-08-06T23:49:55.364242Z digest=sha256:a2343cf796689c7ae944f2101aa18858b147c634b5905b622b3902a72115f615

Observation 1c6340a5-691e-4ba5-8ebb-fd9fd1df431e · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data, 2022.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Make-a-video: Text-to-video generation without text-video data, 2022

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:50:00.220885Z

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.

source=pdf_text observed=2026-08-06T23:49:55.460639Z digest=sha256:3760afde8e5934065ac4b302a154f5535200688778ac690014356cbd1aa59f64

Observation cb65b5ee-2537-4c7c-8ff5-0a77127c6711 · outbound

This paper cites Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:55.554719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:55.554719Z digest=sha256:d479bfb6d3bdc757ae68509194f3cbee94f7aec9e12a23e6b2c48058f47db839

Observation 1e9a0c98-db0e-47c9-9508-f02496115424 · outbound

This paper cites End-to-end diffusion latent optimization improves classifier guidance.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation End-to-end diffusion latent optimization improves classifier guidance

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:55.640524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:55.640524Z digest=sha256:82e5419cbad32734fc1b342bb0c4e9e5c5bc65e96f0fb53fb9e9e8c8288b1226

Observation 4b9311d5-dc17-48a9-a7c0-08b0b14c1eee · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:55.790454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:55.790454Z digest=sha256:221efec735b7f546bda9f276d601158376dda758cae163351d93d15c4c43813f

Observation 1ab687fb-478b-41d7-b7e2-6d3affccdb88 · outbound

This paper cites Modelscope text-to-video technical report, 2023.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Modelscope text-to-video technical report, 2023

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:59.986425Z

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.

source=pdf_text observed=2026-08-06T23:49:55.887061Z digest=sha256:d9e6d21bb4ef63386c403819022dd1dbc8813e429374c0fc68bef3123b306acb

Observation ef908e50-f7e0-484a-8c3f-86474e520615 · outbound

This paper cites The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:55.996195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:55.996195Z digest=sha256:bba7bc0e11fd128d1a695cbfcf8ab04953785a237c2b1d772da1fe3ba2a81515

Observation 7e91a4b0-2bb5-4231-b848-c0ff9ff419eb · outbound

This paper cites CoNo: Consistency Noise Injection for Tuning-free Long Video Diffusion.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation CoNo: Consistency Noise Injection for Tuning-free Long Video Diffusion

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:49:57.822728Z

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.

source=pdf_text observed=2026-08-06T23:49:56.095704Z digest=sha256:b81602aa9b0e40a33c140ddec3b1fb66ffa3f0e7a0e0c2272d04229d8edaf320

Observation a20582f8-a34f-49b0-977d-ca17d0146926 · outbound

This paper cites Freeinit: Bridging initialization gap in video diffusion models.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Freeinit: Bridging initialization gap in video diffusion models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:59.773468Z

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.

source=pdf_text observed=2026-08-06T23:49:56.218916Z digest=sha256:3e7504bcc9bf8b4b48ee6351621b07c576edb82f59839dad7f95f7000acbdad0

Observation 106dee4f-43ac-4cab-ac54-a2ba5863b465 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Msr-vtt: A large video description dataset for bridging video and language

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:56.346355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:56.346355Z digest=sha256:4b723cfdeae2a6abca456c582ddad8249e9aa6e7e8f16ea2bd35aa0d76f4f0ef

Observation 7a76d926-4f12-4089-ba2d-effefb0eb159 · outbound

This paper cites Good seed makes a good crop: Discovering secret seeds in text-to-image diffusion models, 2025.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Good seed makes a good crop: Discovering secret seeds in text-to-image diffusion models, 2025

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:59.562680Z

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.

source=pdf_text observed=2026-08-06T23:49:56.447287Z digest=sha256:19a614f772c090d2754c4a5a81d457569cbb116e862b08699330c8a0adb34708

Observation 73a9e6c5-0ace-4929-9e68-898b56e95d6c · outbound

This paper cites Noise calibration: Plug-and-play content-preserving video enhancement using pre-trained video diffusion models.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Noise calibration: Plug-and-play content-preserving video enhancement using pre-trained video diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:59.291490Z

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.

source=pdf_text observed=2026-08-06T23:49:56.551359Z digest=sha256:62f7d00778769da4dc250fce772438e2bb905476101e2995c5b0ac4c92918dda

Observation c2899ba0-2d90-4977-b540-cb5f7afa730c · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer, 2025.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Cogvideox: Text-to-video diffusion models with an expert transformer, 2025

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:59.003487Z

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.

source=pdf_text observed=2026-08-06T23:49:56.678048Z digest=sha256:d0daa07fc8f53a8775ac3bf15ea053f317219d30560588b79425898f9ff869d6

Observation 320b184c-c187-467f-bc5e-2828d1287253 · outbound

This paper cites Chronomagic-bench: A benchmark for metamorphic evaluation of text-to-time-lapse video generation, 2024.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Chronomagic-bench: A benchmark for metamorphic evaluation of text-to-time-lapse video generation, 2024

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:58.688011Z

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.

source=pdf_text observed=2026-08-06T23:49:56.773847Z digest=sha256:5f400e6f2821fa75726f08374dbc255139dc59fa3b0956adfbca5eef8210a004

Observation 2eda3fcb-60a8-4e65-9b19-27de78ea0204 · outbound

This paper cites RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:56.913424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:56.913424Z digest=sha256:a091c94b1f4b0546ab4c3a0fbdc797762e9021875f7e6561e184e00b19e6a87e

Observation 1b60286d-9adf-45ee-96c2-0f64a632da60 · outbound

This paper cites Vbench-2.0: Advancing video generation benchmark suite for intrinsic faithfulness, 2025.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Vbench-2.0: Advancing video generation benchmark suite for intrinsic faithfulness, 2025

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:58.582880Z

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.

source=pdf_text observed=2026-08-06T23:49:57.057143Z digest=sha256:c55b7724da40069f22783cd8c6927d166852700b62fe675ed1d73676b28ddbe5

Observation 247eb103-fdfc-4e42-ae05-acd55711d78f · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Open-Sora: Democratizing Efficient Video Production for All

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:57.182687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:57.182687Z digest=sha256:7a38c2eb3ecb3d7e6f6b06178817032bbd0a685dc62b9c205e3626995dd42e10

Observation d319efbb-4f36-4d87-8deb-71297a111cff · outbound

This paper cites Magicvideo: Efficient video generation with latent diffusion models, 2023.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Magicvideo: Efficient video generation with latent diffusion models, 2023

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:49:58.410581Z

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.

source=pdf_text observed=2026-08-06T23:49:57.354245Z digest=sha256:cb750023a28617230d74221b8940804683a8f76ddb06a9eaae477345909af18e

Observation dcfd47d6-ffb3-4a10-a234-f68e170161d6 · outbound

This paper cites Golden Noise for Diffusion Models: A Learning Framework.

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation Golden Noise for Diffusion Models: A Learning Framework

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:57.535396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:57.535396Z digest=sha256:0d72cbfa75e14a534d3d02bc0b004ba841e3425b03f58607135c3e6159d5d65b

Pith citing papers

Observation 14134386-af52-42b3-9221-3b21a4f21a43 · inbound

Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching cites this paper.

Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching FastInit: Fast Noise Initialization for Temporally Consistent Video Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:05:51.055478Z

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.

source=pdf_text observed=2026-06-29T04:13:18.570081Z digest=sha256:4104d7bbaead09c3d9d8d18a6773cef870a90b0ddf8a3aef7aa0b54ec4fffd9d