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Paper Citation Record · LEDGER

Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2502.21079.

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

pith.paper-citation-record.v1
2502.21079 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:12:45.484035Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:26:56.731258Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 166a9564-12bd-4b09-b542-16d9920fc15a · inbound

Seedance 1.0: Exploring the Boundaries of Video Generation Models cites this paper.

Seedance 1.0: Exploring the Boundaries of Video Generation Models Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:09:57.330107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T12:09:56.836351Z digest=sha256:4d9da41228f57da61af10a08bdd3d291cd3827f8ae52b43aee5b2305e6452fc5

Observation 0eb71f41-1a8e-4534-ab1b-dac584d3d86a · inbound

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space cites this paper.

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T22:12:45.484035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:12:45.484035Z digest=sha256:144ab3259f2ff1b058838d5431fc750ee8ff92f417b08d6d65eb400bea7284fa

Observation d89f4d69-38e7-40be-85fe-a5cdd076dd96 · inbound

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling cites this paper.

End-to-End Training for Autoregressive Video Diffusion via Self-Resampling Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-03T15:46:12.792710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:46:12.792710Z digest=sha256:3533e63e199dfd0e572c99dbdd80d46ec813667bf00985a3acd1fabe4c26a2b8

Observation 19d1f1a1-960b-4699-b5ba-214226e5b2c0 · inbound

Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers cites this paper.

Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-03T15:35:16.866211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:35:16.866211Z digest=sha256:160b0864cacdc9999953213bd8767499f8c549a512931fb2a6e1a13b9b8e07fc

Observation 006c6c8e-48ee-47e2-ad60-03f549ee9556 · inbound

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices cites this paper.

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-03T10:56:16.089882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:56:16.089882Z digest=sha256:60f3522e44960d1741982058b4c6547510e2fbaa324ee056ab8bbffa98d6942a

Observation 9545dffb-84b2-4ab0-bec9-122d79666659 · inbound

SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing cites this paper.

SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-15T12:20:51.326210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:20:51.326210Z digest=sha256:f69151bd234ce6ad7f89a941588d646a01d60647a918313fa7471773a0aae928

Observation 5a776817-2a3b-4ea5-bfc8-4ded73660ef4 · inbound

Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering cites this paper.

Attention Sparsity is Input-Stable: Training-Free Sparse Attention for Video Generation via Offline Sparsity Profiling and Online QK Co-Clustering Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:59:53.193405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T08:55:52.757489Z digest=sha256:f203936707ce07d3253ab66e801304c031081b13479426cc89b74e0d617b0cf9

Observation 67419f92-ab97-404b-8a1a-a826759c1f0d · inbound

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

SURF: Signature-Retained Fast Video Generation Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:14:17.541641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T18:11:39.642701Z digest=sha256:7f87aa2e6468f94bc85df387855ab857db22bb04c1f53a19c184a6af1f98074b

Observation ac0b8882-8273-4e8f-8e34-a2d50cc4024b · inbound

Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation cites this paper.

Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:46:02.665755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:20:29.350915Z digest=sha256:d03e4509864ed7ff4e591cbb942497fb2ccbdd00c3ef650f274dfa92754e1d29

Observation aa0d83ad-0184-4fbf-a26c-f17e5af5d698 · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 153

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:03:25.800651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T08:28:29.706249Z digest=sha256:f6ee1bc5c7054ab345077e2f1325998cfa51d984fa063406bc83802baefab530

Observation f8e36cdc-6d26-49c5-99a8-289058cc2bf5 · inbound

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation cites this paper.

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:43:49.711617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T05:09:46.155328Z digest=sha256:7a859631f733e0fc28d21b412502c0c65f823e4ea1a5c147ce108c037e21638e

Observation 5ed6ee11-16ad-46eb-aa1a-4c7d97069d4f · inbound

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention cites this paper.

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:19:46.226767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T05:17:48.403406Z digest=sha256:858c61e29593876036333cbd48b93a7244e91f3e5c7f3be49c3c70e4feb81269

Observation 9296d95e-a1e9-4ee0-b6f5-b042fb668c48 · inbound

RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling cites this paper.

RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow Scheduling Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:26:56.734475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T02:08:44.257127Z digest=sha256:038434dab036baea07a2ffd883b7f86f1da29004371c16df22a27577fdcdfdf0

Observation da20cabd-a8b2-48c2-837c-5c530ebb38d4 · inbound

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations cites this paper.

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations Training-free and Adaptive Sparse Attention for Efficient Long Video Generation

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-02T03:51:52.267762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:51:52.267762Z digest=sha256:b73db6e6aee5ebb0ffb5e9160b6ac69d1bf4fcabc5c85b813b19c4ee7373dde4