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Paper Citation Record · LEDGER

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device

As of 14 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 1 inbound Pith citation observation for arXiv:2412.10494.

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

pith.paper-citation-record.v1
2412.10494 v2

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:58:37.128640Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:46:29.590722Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T10:46:29.894485Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact2
  • verified fuzzy35
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7acdfb4-80c1-467c-a047-7db6f75a6d49 · outbound

This paper cites Dream machine.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Dream machine

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.601587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.270972Z digest=sha256:eeced1e5181571ec6c16e69b2e89852fc9da9a15968a3b23c501b640fc2fb77c

Observation 375fb975-77f1-468e-8b54-d1ce4856c821 · outbound

This paper cites Pika 1.5.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Pika 1.5

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.512295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.276925Z digest=sha256:dc037fcd80f937d45f74984be7c97dadbffd0ac7b9cc747354a45dbe7ddae532

Observation bd9ed296-518f-4a49-80ac-482783bf5d8c · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.281573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.281573Z digest=sha256:6d67553e00b0537d643b1ce19175d007293185d59df5ebc8dd67e63dad20db9f

Observation 982bdb0f-c099-445d-9c22-bbf1cdad4577 · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.479044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.286550Z digest=sha256:e7b1233c3f19e5c9d69e19c3c42245c73ab703b32b50a7c288c91273a86ecb07

Observation 81af9f0c-bbb2-461c-80cf-9e466e58fcc3 · outbound

This paper cites VideoCrafter1: Open Diffusion Models for High-Quality Video Generation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.290978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.290978Z digest=sha256:9e682cdb9c86f6ee077d96ce8e80363c589fc99a8bbfcfea97c2d12cf886488e

Observation 7e9a1c5f-e056-4b8e-8f2f-04514f889558 · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.464612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.295764Z digest=sha256:9e1ccf336031d60b691dee62025e757990162940e49dfa05bcda296dfc382464

Observation c7043144-8895-4fa3-b551-ad09ed96a158 · outbound

This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Panda-70m: Captioning 70m videos with multiple cross-modality teachers

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.450228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.299946Z digest=sha256:1f22df01ce6f84d902347a30408a48ddfbdc55505778148f1e25d1f31ae11e82

Observation 6b04187d-40a5-4227-a84b-3e11305a2df3 · outbound

This paper cites EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:58:38.029037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.304495Z digest=sha256:b6de514fdf23bc522e212c36649a1b2403ee6931f9ece8921680903117b8816c

Observation ecf29f0a-bc79-4ba9-af17-beab098de248 · outbound

This paper cites Swiftbrush v2: Make your one-step diffusion model better than its teacher.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Swiftbrush v2: Make your one-step diffusion model better than its teacher

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.435614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.309737Z digest=sha256:77df2deb214bb4c15ad3f81e525aaf16ad4284518eb28f3d3310a6ce4c48cd85

Observation 5e1a1c78-587d-40b1-b8c4-8ccbcf9a87ec · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 10

Resolution
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no resolver link, observed 2026-08-11T15:58:35.315236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.315236Z digest=sha256:05e62e28539d08888a4973a452f97bdc5cefd11abeb460e80431e83e9051fa51

Observation 50f6f02d-93e3-4d8e-87c2-5cedb0b7b3c4 · outbound

This paper cites Structural pruning for diffusion models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Structural pruning for diffusion models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.411598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.319230Z digest=sha256:a83b2d886f79335be072d630816298f69e34134584e8ff1d086360432efae488

Observation 29f07a7f-5edb-4f34-ad0d-f3d4d239edf7 · outbound

This paper cites Wave: Warping ddim inversion features for zero-shot text-to-video editing.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Wave: Warping ddim inversion features for zero-shot text-to-video editing

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.397611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.324110Z digest=sha256:d4a5dd73462b5a88f042e57f42d10ab7641b1bf345858a7cefb9abba1bfad785

Observation df73bff1-600e-4d7f-bd30-b843068caa63 · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.328165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.328165Z digest=sha256:77417fbbfc749a3b09671b5a3877623374a745c56f3b9562ba75c01f61ff5d51

Observation 449ce7c8-a3d8-4eea-ba1a-f2ae0c0b59dd · outbound

This paper cites Sparsectrl: Adding sparse controls to text-to-video diffusion models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Sparsectrl: Adding sparse controls to text-to-video diffusion models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.382633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.376739Z digest=sha256:53e1d22dfdeabcb743cb01436f38727a292a68003c23ec8309d45db5475c58c9

Observation 052fda56-3df9-419b-ab7d-135594bdc82d · outbound

This paper cites Photorealistic Video Generation with Diffusion Models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Photorealistic Video Generation with Diffusion Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.481731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.481731Z digest=sha256:ebedcbce224036bf417c0f4cbf85fc4cc753de2dbeed69ed94015e9b3836d671

Observation 3517e8ef-1b0a-473c-8792-bf129b0dbd26 · outbound

This paper cites Classifier-Free Diffusion Guidance.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Classifier-Free Diffusion Guidance

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.580356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.580356Z digest=sha256:a168d926d867dbee56afa7c15067bb346f1e4dd0a32a0cc04b9269f6705cf4d4

Observation aa17a6f8-b328-4a5b-bc1a-046e514d34bf · outbound

This paper cites Denoising dif- fusion probabilistic models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Denoising dif- fusion probabilistic models

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.365586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.691068Z digest=sha256:064cbe55693170e44ab925c7521287b9a2784d89f0e368bf5b26b5251bcdab80

Observation 2fcd726a-bcbf-4839-ae12-115f50281d1b · outbound

This paper cites Cogvideo: Large-scale pretraining for text-to-video generation via transformers.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Cogvideo: Large-scale pretraining for text-to-video generation via transformers

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.329696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.695944Z digest=sha256:06e9c6c3acf23a945917de0cb70d582e901afc5efdea38a42965ea618b7bb257

Observation 50de62df-7db2-40cd-ba5b-f63b7de41d27 · outbound

This paper cites VBench: Com- prehensive benchmark suite for video generative models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device VBench: Com- prehensive benchmark suite for video generative models

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.218088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.700156Z digest=sha256:6f21bd84042f8c4462334f4a9ba09a59ba5122a3b4db694b26d1195c0f2bab5a

Observation d7db837b-1c15-43c3-afd9-77dd7d0d922a · outbound

This paper cites DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.704716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.704716Z digest=sha256:d1dd21a86a3cc1b14ca4555f97afa5e6a3e0d13ae1bb97a740aff27bfe570b70

Observation 49e0cc5e-3dc2-49fc-ac05-3f0a4fdbb42e · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Pyramidal flow matching for efficient video generative modeling

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.709641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.709641Z digest=sha256:c8e2f9fefeeb6a7e20c98e7a74027f881a4fe48e5562e72dd602e97543a57ae5

Observation f06e6d19-d5af-4414-87dd-41f13eb84a63 · outbound

This paper cites Simple ReFlow: Improved Techniques for Fast Flow Models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Simple ReFlow: Improved Techniques for Fast Flow Models

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:58:37.832614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.714250Z digest=sha256:7ffd1c577b674ae2c8196c43c28d84eb5c26e1970fcaa2b6ca810988423bfef5

Observation 875b48d5-6d98-4e48-9dd9-2c630fdd4d76 · outbound

This paper cites FIFO-Diffusion: Generating Infinite Videos from Text without Training.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device FIFO-Diffusion: Generating Infinite Videos from Text without Training

Reference 23

Resolution
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no resolver link, observed 2026-08-11T15:58:35.718495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.718495Z digest=sha256:a89792628148c87b9e52fb9653f4732c1c28c09001630a32cb599127369d7e9b

Observation a0112b18-60f9-4ab4-827a-8446eef7b321 · outbound

This paper cites an unresolved cited work.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:58:39.182091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.722753Z digest=sha256:8dd827708f8cc965f759f2efff3ce3a27944295d2e30f8d5cb49b730a1567432

Observation 0d678e79-c3a8-4204-817a-4f3948fac2de · outbound

This paper cites Vivid-1-to-3: Novel view synthesis with video diffusion models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Vivid-1-to-3: Novel view synthesis with video diffusion models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.168427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.727154Z digest=sha256:d0f1dcda61f881db27551707d3d8167a28b8032e03c9c7d5e487a1fe75e8fbdf

Observation cbfe2bdc-b765-4874-a683-0f4416ab0b33 · outbound

This paper cites Open-sora-plan, 2024.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Open-sora-plan, 2024

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.732367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.732367Z digest=sha256:1ef5a50b759c116422f6b4179fece8b7fa5806d06e059f960d70a361d8b1d12a

Observation 4b4f4a45-88a1-4813-b3c3-94f17a9983c9 · outbound

This paper cites T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.736814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.736814Z digest=sha256:7bc6aabb8645c483336498c506ae5d37871390065b0f290610cde14fedcdad48

Observation 2d408aea-0adb-49e7-8b8f-0d41ba1950b5 · outbound

This paper cites T2v- turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device T2v- turbo-v2: Enhancing video generation model post-training through data, reward, and conditional guidance design

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.741527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.741527Z digest=sha256:30dcb4d286b7591cafd57a3a32fa024f10ce0fd55d3db5b5d7fd166d59b8e60b

Observation c8507d90-d886-4dca-b11e-5057653a7120 · outbound

This paper cites Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.143592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.746100Z digest=sha256:5be155d450ba1ddd946da96ad8f857839cbbd8206f53cd3d2e0129e308bf40b7

Observation 774eb584-398c-4fa5-946e-6c906c3f8fad · outbound

This paper cites Flowvid: Taming imperfect optical flows for consistent video-to-video synthesis.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Flowvid: Taming imperfect optical flows for consistent video-to-video synthesis

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:39.085667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.750452Z digest=sha256:4946dee6cdf83b1d1ef3ba1d6fdfa9ee960a489a1139cbc3a85b8687b2428c7b

Observation 70dfb973-cff7-41f8-aed0-759940a1acdd · outbound

This paper cites Geometric GAN.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Geometric GAN

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.754754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.754754Z digest=sha256:554fbf15b47f50ef39737fc7fc0f5105bd98bfb66a617a4c6c70f5032a30e544

Observation f3d095e8-4907-45d4-875f-f36dd002ca65 · outbound

This paper cites AnimateDiff-Lightning: Cross-Model Diffusion Distillation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device AnimateDiff-Lightning: Cross-Model Diffusion Distillation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.759562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.759562Z digest=sha256:6458a4865c5a4ae6cd9a7b1d4d9ea247d856fe68e13aaeb4fe5f763f299d67a6

Observation c1bac0e3-612f-427d-a362-3d7c6db7b5ee · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.988657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.763843Z digest=sha256:48b87dc4aba40c869d2e6defe94bb36f2c7b6e434d312fc4279b72271a10c6dd

Observation d79162a1-8ef5-45e6-8344-93dcad5d2b9b · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:35.768731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.768731Z digest=sha256:411f9761c6da7618600de23bf4c95c3912437b7c2ba49ac4a1afff89557f2d21

Observation dbdfa40c-8c58-44a5-a679-c1a912b8ffeb · outbound

This paper cites OSV: One Step is Enough for High-Quality Image to Video Generation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device OSV: One Step is Enough for High-Quality Image to Video Generation

Reference 35

Resolution
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no resolver link, observed 2026-08-11T15:58:35.844729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:35.844729Z digest=sha256:c16378fbfc50e4483ca438a24623d91c879aa7f780a2edb63dd7a4a95fd904a6

Observation 21c8dd1f-f472-4d2a-bb40-e2247a6724d2 · outbound

This paper cites Codi: Conditional diffusion distillation for higher-fidelity and faster image generation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Codi: Conditional diffusion distillation for higher-fidelity and faster image generation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.973374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:35.946369Z digest=sha256:9fb9aa279d5041dc361918ddd8c812c957c91f1f89150658f88f6f55436f826c

Observation 4697f0b6-4e71-4963-ae91-90f8381afe0e · outbound

This paper cites Hailuo ai.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Hailuo ai

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.958593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.010941Z digest=sha256:da5c34ed389327a42eff6a2f01c26e131482a361c27fadbe1eea638c833750ba

Observation 841727e8-a7ee-4380-ad50-d911adc5eef1 · outbound

This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 38

Resolution
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no resolver link, observed 2026-08-11T15:58:36.025518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.025518Z digest=sha256:dd6b42bc06c97e4b63a778a2784bf4a9babde9f8d50f0b788dd4648a8d5c6fcc

Observation c4b54477-bb27-4057-830d-351181f122e6 · outbound

This paper cites Video generation models as world simula- tors.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Video generation models as world simula- tors

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.917745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.034086Z digest=sha256:85eefc31e61590999711dba729f84120315743dcde2abbd0424154e47aab4d4d

Observation af3e6080-ddb0-4980-972e-f45ea6409f3a · outbound

This paper cites Scalable diffusion models with transformers.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Scalable diffusion models with transformers

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.831692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.040584Z digest=sha256:f2a5cb6f382b853219f23abdf85af2f2650f16eaab0272341d4056b9b8f43ecb

Observation db918a6f-02a5-435b-bd8a-189c4fd5badb · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Movie Gen: A Cast of Media Foundation Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.048232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.048232Z digest=sha256:3493115e1b88f25c6b3beb83ee02b178ceeb0758eb261cfd9e3a85cb9eb127fc

Observation b1151a26-1d95-43c1-8933-2754c625c9c2 · outbound

This paper cites Hier- archical spatio-temporal decoupling for text-to-video gener- ation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Hier- archical spatio-temporal decoupling for text-to-video gener- ation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.053406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.053406Z digest=sha256:158d75a4cfa8c334ce5036c85462fc0743d0a04574e1c8d0d889e5e8425d0877

Observation 944c2162-c734-4137-ba30-adfe3a3d009c · outbound

This paper cites FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.058541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.058541Z digest=sha256:71397fc56ded902cf1335977dd41052dad0b1319574fa3834b20707cdb6bc693

Observation 18ae3d34-7589-44df-8f92-4cdecf287a13 · outbound

This paper cites Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.063358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.063358Z digest=sha256:f61f0e9b3dafc8c813163bac8889b9edf603fff3d51c07364e912a0596cf6024

Observation 5d881cce-9ce9-4edd-a9a6-5d46c6014fb8 · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device High-resolution image synthesis with latent diffusion models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.068399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.068399Z digest=sha256:237d3aef5d53f002c3b8bd60cd0e963d19ba2ffa977cda6e2749ca9ad0964892

Observation 47318d1b-eae6-4152-b248-4a1827b3c071 · outbound

This paper cites Gen-3 alpha.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Gen-3 alpha

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.739450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.072818Z digest=sha256:0d8576429fed21b3220ceb989acad22e7fc8fd63f9077bf671d390265d8e8be3

Observation 87aa8360-3ea5-4654-8710-7cb5a03d0eb0 · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Progressive distillation for fast sampling of diffusion models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.724810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.077494Z digest=sha256:a71a1f85ea835dd67754b7be6fc4e5a7271de73ff96eeba1f6e4f423ce77c0f7

Observation 29c70e5b-5060-4dd8-ab52-6ba73b7f3771 · outbound

This paper cites Projected gans converge faster.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Projected gans converge faster

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.708549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.082118Z digest=sha256:b4dfea4b2dc9bd139e43d7371e9be62f37f71be5adb9a8f35cda94704d4a5be9

Observation f9e7c5fa-3acd-4638-83ab-5428b0b701f7 · outbound

This paper cites Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.693563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.086722Z digest=sha256:cee43d1251605cae28dda6473e7cde8e1768f137f3e79dc51d503542269ac487

Observation a88675a5-079a-476c-b961-bc66a0238c8e · outbound

This paper cites Adversarial Diffusion Distillation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Adversarial Diffusion Distillation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.091438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.091438Z digest=sha256:59c85b50fb2daab099df6a05290048692d837c332ae14b738f9870ce4d2f9bac

Observation f6fa165d-b1e9-43fb-9c65-6a3013f8edb7 · outbound

This paper cites Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.096197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.096197Z digest=sha256:ca23f77ce579cfa6e6a7405493ac083894009e6bac301ca23dfc079ad6fac4e4

Observation 9a45ad51-ecdd-4e22-b749-aba836d98418 · outbound

This paper cites Improved Techniques for Training Consistency Models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Improved Techniques for Training Consistency Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.100693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.100693Z digest=sha256:1abf28fa1eac3845aa2b41ab9724513d170accb1a86b7e3436e1fe96b9896da7

Observation e7afc44d-d316-4c68-ae7a-3b6e444f384d · outbound

This paper cites Consistency models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Consistency models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.549568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.105163Z digest=sha256:9ea1cff55c865a89923e1f5364ab56cd8609f5e8b1cc14d67c30d486000f7ffc

Observation 103baccd-7a65-4729-bcd2-33129b4ab584 · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Roformer: Enhanced transformer with rotary position embedding

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.126913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.126913Z digest=sha256:42676f2070e355770f32948b7be79135d6a439794c96e4a005938c692c68e7e7

Observation 03beb475-63fe-433c-a883-11b78b68c82e · outbound

This paper cites Mochi, 2024.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Mochi, 2024

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.465037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.264869Z digest=sha256:70c1c55670664327e63c72240ca847d3c0c684ea53da58ea478263b6e0618ec5

Observation 999ad951-a74e-429a-b677-c2fa75d4b0c4 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Gemini: A Family of Highly Capable Multimodal Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.415185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.415185Z digest=sha256:2b281b66518138b40f7f1e6832949588748a7e22175d6273592d4c27f30ea377

Observation a795bf7e-99ec-4302-ad6d-e46932cc5e15 · outbound

This paper cites Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.450610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.573750Z digest=sha256:74870bc784205f394b6a01698b42fe52076aeb0a985ecf64f012773067c1115a

Observation 83a3c52e-f254-4951-8068-d1a835054225 · outbound

This paper cites AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.579098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.579098Z digest=sha256:5ea7d5aadda04bd05efd52cd4a085e3c3aa1e556fd6ff15f32e9a1eb8aa2d18d

Observation 38b1e59d-9a7f-4f83-a330-b86221dc5fbb · outbound

This paper cites Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.586534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.586534Z digest=sha256:677ba8930f3d99838ca0c03dffb1d880038d85e5bee2eb9b6cd1dc8ad47417a4

Observation 058fee6a-6626-4889-990d-ae23bb582ad2 · outbound

This paper cites VideoLCM: Video Latent Consistency Model.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device VideoLCM: Video Latent Consistency Model

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.594481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.594481Z digest=sha256:ccc52d1fbb40146416225b8e98ad7e5d62fe27e10e9a157384e5377abac8170b

Observation 3e613784-0c5b-40f8-850c-5bf2ec8fad7e · outbound

This paper cites MotionBooth: Motion-Aware Customized Text-to-Video Generation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device MotionBooth: Motion-Aware Customized Text-to-Video Generation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.599595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.599595Z digest=sha256:68967235b3d5a997e4b18063c6e4a4ed7ecb8b5ce593eeeaccad2139e5f05532

Observation 907f1906-b0bd-4a50-a11e-d98f3e7d7571 · outbound

This paper cites Tune-a-video: One-shot tun- ing of image diffusion models for text-to-video generation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Tune-a-video: One-shot tun- ing of image diffusion models for text-to-video generation

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.434946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.605016Z digest=sha256:ecfb2cd1d6bd304de6b6571dce81179e6d09c04f9976b8d623888bc7fa2f0ba2

Observation 5abefaab-8a5e-414d-a045-9e55db8fde43 · outbound

This paper cites Freeinit: Bridging initialization gap in video dif- fusion models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Freeinit: Bridging initialization gap in video dif- fusion models

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.418941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.609643Z digest=sha256:33e36c71d373032573d00e3301139be9dc85b26066e5d161e8d514f8bd9b9963

Observation 66444ce5-4b7b-435e-ac15-b8f6920c350d · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.614344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.614344Z digest=sha256:86e26b6689aa002acbfead018288ad72577a36f042258406ab6c13d513bfac48

Observation a763c0cd-8c01-4223-a7b7-2063586fa1fc · outbound

This paper cites Ufogen: You forward once large scale text-to-image gener- ation via diffusion gans.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Ufogen: You forward once large scale text-to-image gener- ation via diffusion gans

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.334958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:36.619390Z digest=sha256:ae6353958e3b8dd769d7e08e884363610b1b8581e576afaa19dc21b8e3ea25c8

Observation d0084f01-f80b-4035-9e3c-80baa0fa256f · outbound

This paper cites Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.624252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.624252Z digest=sha256:1a7bb4870054b63da5c8180c9db40bf84d2925554dd99af96d25a10c0575ef69

Observation 749e175a-dd8d-4773-8b88-4ff53dedf449 · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.628848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.628848Z digest=sha256:2a12b1f24a715cc6551707f1e76cba7f805a75a6ef17f293a0825e41b0ae0a8c

Observation eb1fa1b3-256d-42f5-8d39-fccb5a3be6ec · outbound

This paper cites Improved Distribution Matching Distillation for Fast Image Synthesis.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Improved Distribution Matching Distillation for Fast Image Synthesis

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.633619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.633619Z digest=sha256:637d2eada33de5753fb95da53fc318ea173eefaa0ead80a1248057f12157f7c4

Observation f7d6772a-1636-4fa3-bbd5-5c40baf6ac90 · outbound

This paper cites One-step diffusion with distribution matching distillation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device One-step diffusion with distribution matching distillation

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.638064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.638064Z digest=sha256:b2c1e1277202829942bc0216dab647543a36dbf4194affb97846dcc910f10ffc

Observation f23ffbd7-3a4b-46a0-9727-e8431c26eca7 · outbound

This paper cites DiTFastAttn: Attention Compression for Diffusion Transformer Models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device DiTFastAttn: Attention Compression for Diffusion Transformer Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.642635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.642635Z digest=sha256:5d5303b404eba51c522cb347258601b785035d7c934c9d6087262885a85166ba

Observation f96d582a-edee-45bb-be89-31b502178822 · outbound

This paper cites Make pixels dance: High- dynamic video generation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Make pixels dance: High- dynamic video generation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.716519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.716519Z digest=sha256:4c711b4d8fad7d1eea243f35e9e521c33f5da773b9f506f9f60f38fafe490531

Observation c2a36a3e-e174-4269-bf9d-a156b0ea32c4 · outbound

This paper cites Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:36.924366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:36.924366Z digest=sha256:cee3fdd4584aaf83f1dd0bdeea7642f961e25ccbdaaa9dde8e438ec632977021

Observation 058fa9b4-b696-4020-be80-0f1499b70913 · outbound

This paper cites Fast and memory-efficient video dif- fusion using streamlined inference.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Fast and memory-efficient video dif- fusion using streamlined inference

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.254741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ccdb3ed6-5396-449a-9e78-fb88f9d13b46 · outbound

This paper cites SF-V: Single Forward Video Generation Model.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device SF-V: Single Forward Video Generation Model

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:37.080731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:37.080731Z digest=sha256:5d546953533018778947573f23f0f3db7ed5f0556596a61f001d06cf71da5506

Observation f3a76f96-5f21-453c-89a0-925c97febc32 · outbound

This paper cites Avid: Any-length video inpainting with dif- fusion model.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Avid: Any-length video inpainting with dif- fusion model

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.239727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ee00efe8-030e-48aa-9f16-5b11326ab788 · outbound

This paper cites Motiondirector: Motion customization of text-to-video diffusion models.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Motiondirector: Motion customization of text-to-video diffusion models

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.225064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1f5bd748-b7a2-4fd5-812e-bb56f26c3cad · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Open-sora: Democratizing efficient video production for all, 2024

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.210064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:37.119901Z digest=sha256:b021f5cec547e9dc1a98da15cddeb1c78f1778051b7899498cb511bd49dedfd2

Observation 81d642ca-10aa-4bc9-a2ff-0970eafa2160 · outbound

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

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-11T15:58:37.123917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:58:37.123917Z digest=sha256:5efd5826855ff03eefa0891bb2f549611cbd8e5a7c96aab364f2eee83465d37a

Observation f3cdea2c-bd51-47a9-85aa-c6870f3596c1 · outbound

This paper cites Golden Retriever and French Bulldog go through a dark corridor of abandoned alien spacecraft. Sci-fi horror movie style,.

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device Golden Retriever and French Bulldog go through a dark corridor of abandoned alien spacecraft. Sci-fi horror movie style,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:58:38.140520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T15:58:37.128640Z digest=sha256:9a639b98bd58bed532453125368680f5eb03faddfa68deaa9fcde60596b1b5be

Pith citing papers

Observation aaa0229f-04b8-48cb-804a-699ef936120f · inbound

On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices cites this paper.

On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:46:29.899800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T10:46:29.590722Z digest=sha256:8890dc5d3e25aedb4fda62cf028676cf8e4faf3c1064d127759e3b3e75738cf3