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Paper Citation Record · LEDGER

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2605.23445.

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

pith.paper-citation-record.v1
2605.23445 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T04:44:19.628926Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact14
  • verified fuzzy5
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9f488ed-0ed6-470f-b79e-19d4f559f84d · outbound

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

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Flashattention-2: Faster attention with better paral- lelism and work partitioning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:46:38.184364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:68e5651b58c1ac01d4a68d04fa1c928b001ada331ec40a71ff86743e8fa7783b

Observation 66ca0b2e-0378-4fde-9d3c-8512d5b1ba9b · outbound

This paper cites FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion Models.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-10T01:08:29.716457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:3e007c5fe0e176c0e282eab3d4d1714a4587b5cf670eb8390bc307fc536181aa

Observation 8f4f0ac6-1f10-4d9c-8410-e7dbfc3f1646 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:45:20.123547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:fd63c710354ece0dc03b0dd4ba5382c750a49315809056d1ade3c172edbd49c7

Observation c47c37df-1e68-4dfd-8707-18e5f507d54d · outbound

This paper cites FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:20.108521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:46932ef9400c7fdf431f5ab29e4f1ecd3459ba78c440d604c7927417b0f3c4ee

Observation 8aa6e08b-2bed-4a7e-a9c2-378b281b00ec · outbound

This paper cites and Xu, L.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation and Xu, L

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:20.113349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:0c636a7e059806ce07087818d3ecccd4421de7e27c30be1a499154bb1c1ab7d9

Observation e4c0e438-e419-4aa3-b514-52ceffadce68 · outbound

This paper cites Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Mixture of Distributions Matters: Dynamic Sparse Attention for Efficient Video Diffusion Transformers

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:17:25.271143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:f741b0c9c852e4ddc4229adf55893c7ae96e320180b66e627367ab358e3915db

Observation d91814bc-aca8-45aa-ad66-58f61b4e820e · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Progressive Distillation for Fast Sampling of Diffusion Models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:45:20.091130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:0103d07bebc89fd6c7e3c6c8d867072c0803f33705ad1e47f7be08b34969e216

Observation 6c3d4565-b009-4334-bb60-b7943576a7d3 · outbound

This paper cites DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:20.079705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:1677dc5cfedbba6bd18b1ecfd7204b56ee36a9c502567df5a7425b1343790366

Observation d89f4f42-76f4-4371-98e6-b187df27b60f · outbound

This paper cites Denoising Diffusion Implicit Models.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Denoising Diffusion Implicit Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:45:20.051142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:97fab9a7b27f3f40a02bf4fe61d9c5beeb88173ca04f021195f2f4f562f3f484

Observation cfff5f59-2535-4072-b116-a28959017368 · outbound

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

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:45:20.061193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:205e3477945b27ffc70429242b3dc1aef3134024429fc9ba0ec4b5879bd046ee

Observation 64e07104-0506-4a3f-8e73-5dabbc86bf40 · outbound

This paper cites Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:20.097693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:1321818f976f393dff7af972335f3f30ac8fffd946a36777916048a5b21cac71

Observation f4ca3cfb-3992-47af-b5c1-f2ebec030e08 · outbound

This paper cites Effi- cient streaming language models with attention sinks.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Effi- cient streaming language models with attention sinks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:46:38.172334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:e8488877718fddb55b33cc6ddff5211a63ea0b8fb8a52b6fc28e7f84eb0984b6

Observation 4072960e-ed2e-4209-8bcc-1e9b3fc95da9 · outbound

This paper cites XAttention: Block Sparse Attention with Antidiagonal Scoring.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation XAttention: Block Sparse Attention with Antidiagonal Scoring

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:20.085419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:948b2ae8cc61def6e986bafba8d28961b222df5be7dc1e0f710d9b67adc7bff0

Observation 67121432-44e5-4f8c-b9e1-390ae50f1915 · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an ex- pert transformer.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Cogvideox: Text-to-video diffusion models with an ex- pert transformer

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:46:38.176274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:d29b039b7e66a0d9f720075c473c14a984cbda3cf938dd26aaa074ac21bc2ac6

Observation c6c2e81d-b9fe-468b-9485-0cb2b67cbcc9 · outbound

This paper cites Fast Video Generation with Sliding Tile Attention.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Fast Video Generation with Sliding Tile Attention

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:20.046130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:43346d9655bef2e850eb7da8fbce7b4319732d4eaa966de8a269aeb6bd83b636

Observation 7d83f2ed-5172-42f3-8c97-f72379703ffd · outbound

This paper cites Real-time video generation with pyramid attention broadcast.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Real-time video generation with pyramid attention broadcast

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:46:38.180651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:c5b0327d5d7ed71c1d279ffb455543115008dbe43f86a9c68e57740e8377ce1e

Observation 7ead2a8c-ff6a-4f4e-b134-f7c1fc19498c · outbound

This paper cites HilbertA: Hilbert Attention for Image Generation with Diffusion Models.arXiv preprint arXiv:2509.26538.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation HilbertA: Hilbert Attention for Image Generation with Diffusion Models.arXiv preprint arXiv:2509.26538

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:45:20.056413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:14ac93779cd7c64fad76029d03906d0429ed9cf45307d73f810127b0900c9f99

Observation 22ea9b61-e783-4760-9564-ef1f6f33a1d0 · outbound

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

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation Open-Sora: Democratizing Efficient Video Production for All

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:45:20.067034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:430f1465b5d2928ea7cd2ec446665ca803660188ab6cf20801c9ff7ae73c02c4

Observation b2c184a4-e839-4cd1-a8f5-cb43c99da05f · outbound

This paper cites (27) where K= max i ∥zi∥ψ2 is the subgaussian norm of z, ∥A∥2 F is the Frobenius norm of the matrix, and ∥A∥ is the operator norm of the matrix.

DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation (27) where K= max i ∥zi∥ψ2 is the subgaussian norm of z, ∥A∥2 F is the Frobenius norm of the matrix, and ∥A∥ is the operator norm of the matrix

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T04:46:38.166625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T04:44:19.628926Z digest=sha256:6517ba9bad0b135cf406227be3b39efb2f44c46ee180a6704971a6a5c072f033

Pith citing papers

No inbound Pith citation observations are available.