Paper Citation Record · LEDGER

Veda: Scalable Video Diffusion via Distilled Sparse Attention

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2605.30325.

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

pith.paper-citation-record.v1
2605.30325 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T07:54:13.390911Z

measured 30 of 30 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

30 of 30 outbound references displayed

verified exact20
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f7c32e5-9011-4239-949e-e4e86e825e2c · outbound

This paper cites Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.729248Z

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.

Observation 8652b991-a2ce-45d8-992a-418bbb520bee · outbound

This paper cites DeepSeek-V3 Technical Report.

Veda: Scalable Video Diffusion via Distilled Sparse Attention DeepSeek-V3 Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:14.713543Z

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.

Observation 55a79dc0-3f6c-477f-a7cd-08666c4d0bbb · outbound

This paper cites Moa: Mixture of sparse attention for automatic large language model compression.arXiv preprint arXiv:2406.14909.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Moa: Mixture of sparse attention for automatic large language model compression.arXiv preprint arXiv:2406.14909

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.722973Z

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.

Observation 7c54c9b3-e913-4a01-bda1-e04c2e128d79 · outbound

This paper cites SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs.

Veda: Scalable Video Diffusion via Distilled Sparse Attention SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:03:14.700175Z

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.

Observation a3309dd5-dde4-48af-8b5b-c94f2b2e4eca · outbound

This paper cites HunyuanVideo 1.5 Technical Report.

Veda: Scalable Video Diffusion via Distilled Sparse Attention HunyuanVideo 1.5 Technical Report

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:14.684920Z

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.

Observation f8e2574e-1247-4bcf-a352-752cf7dfa428 · outbound

This paper cites MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention.

Veda: Scalable Video Diffusion via Distilled Sparse Attention MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.734678Z

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.

Observation 71bcf46d-cfc7-4508-808c-ab6ea7be2319 · outbound

This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Open-Sora Plan: Open-Source Large Video Generation Model

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:14.737493Z

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.

Observation f84bc32e-319a-41a3-8cc4-fc55256f6c2f · outbound

This paper cites Scaled-dot-product attention as one-sided entropic optimal transport.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Scaled-dot-product attention as one-sided entropic optimal transport

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.680028Z

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.

Observation fa47025f-39c9-48de-9077-b6e51fe0753d · outbound

This paper cites MoBA: Mixture of Block Attention for Long-Context LLMs.

Veda: Scalable Video Diffusion via Distilled Sparse Attention MoBA: Mixture of Block Attention for Long-Context LLMs

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:03:14.703191Z

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.

Observation 2c9416cb-870f-4b8e-87ff-bc9ee2cb53cb · outbound

This paper cites Markidis, S.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Markidis, S

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:13.715555Z

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.

Observation 9ed69859-3901-4916-b166-58575719e5eb · outbound

This paper cites In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Veda: Scalable Video Diffusion via Distilled Sparse Attention In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:03:13.718460Z

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.

Observation ed6f3ca9-96f6-4a58-a832-da772bf2b27f · outbound

This paper cites Hopfield Networks is All You Need.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Hopfield Networks is All You Need

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:03:14.715838Z

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.

Observation 1c4f7846-e28c-4389-9df8-7720c533b84d · outbound

This paper cites FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision.

Veda: Scalable Video Diffusion via Distilled Sparse Attention FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:14.731801Z

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.

Observation 59084fb1-4955-41f2-96e4-71d79932a963 · outbound

This paper cites ThunderKittens: Simple, Fast, and Adorable AI Kernels.

Veda: Scalable Video Diffusion via Distilled Sparse Attention ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.669109Z

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.

Observation 2003d70b-23fc-4d66-9163-b9d369efd0a3 · outbound

This paper cites Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:14.707775Z

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.

Observation a958bb1c-e26b-46ab-86c1-c2e0766728b9 · outbound

This paper cites V orta: Efficient video diffusion via routing sparse attention.arXiv preprint arXiv:2505.18809.

Veda: Scalable Video Diffusion via Distilled Sparse Attention V orta: Efficient video diffusion via routing sparse attention.arXiv preprint arXiv:2505.18809

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.710732Z

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.

Observation 177426fe-9702-4de6-af69-59b6d96d8c47 · outbound

This paper cites Longcat-video technical report.arXiv preprint arXiv:2510.22200.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Longcat-video technical report.arXiv preprint arXiv:2510.22200

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:03:14.698744Z

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.

Observation 32507771-d7c8-4b14-8664-efa8fa17fa1b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Veda: Scalable Video Diffusion via Distilled Sparse Attention LLaMA: Open and Efficient Foundation Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:14.687831Z

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.

Observation d3a98175-31d8-48a8-88a2-c4677e270e17 · outbound

This paper cites TileLang: A Composable Tiled Programming Model for AI Systems.

Veda: Scalable Video Diffusion via Distilled Sparse Attention TileLang: A Composable Tiled Programming Model for AI Systems

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.690543Z

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.

Observation 0890f945-58da-471b-a5ff-12e7fd90993a · outbound

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

Veda: Scalable Video Diffusion via Distilled Sparse Attention Wan: Open and Advanced Large-Scale Video Generative Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:14.696066Z

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.

Observation b46bc2f4-ae15-4caf-9bfa-dea0b71411d8 · outbound

This paper cites VMoBA: Mixture-of-Block Attention for Video Diffusion Models.

Veda: Scalable Video Diffusion via Distilled Sparse Attention VMoBA: Mixture-of-Block Attention for Video Diffusion Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.712012Z

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.

Observation 99cdccd7-71f1-408e-a760-0cf1e75ddf3f · outbound

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

Veda: Scalable Video Diffusion via Distilled Sparse Attention Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.720126Z

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.

Observation dde34415-b480-45fc-a4ff-4c681cbffd48 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Efficient Streaming Language Models with Attention Sinks

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:14.671710Z

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.

Observation 38c4ea5e-7d82-46fc-a59f-23feaa320153 · outbound

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

Veda: Scalable Video Diffusion via Distilled Sparse Attention Cogvideox: Text-to-video diffusion models with an expert transformer

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T07:54:13.390911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8167be5a-2cc8-4af5-859b-401e0a1eb555 · outbound

This paper cites From slow bidirectional to fast causal video generators.

Veda: Scalable Video Diffusion via Distilled Sparse Attention From slow bidirectional to fast causal video generators

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:03:14.674418Z

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.

Observation 511a2477-dc00-46b5-805f-608101a41f5c · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T08:03:14.676888Z

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.

Observation e0e75c00-8189-4243-b65d-5e0f28bbc28d · outbound

This paper cites Spargeattn: Accurate sparse attention accelerating any model inference.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Spargeattn: Accurate sparse attention accelerating any model inference

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:03:14.666457Z

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.

Observation 8002096d-66d1-4ce6-8709-da8f72e00555 · outbound

This paper cites Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:03:14.701850Z

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.

Observation bd0e416f-c714-489c-8914-7a183861ccaa · outbound

This paper cites an unresolved cited work.

Veda: Scalable Video Diffusion via Distilled Sparse Attention Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T07:54:13.390911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cc72871-e953-4a02-84f1-b084c602cde7 · outbound

This paper cites This implies that tokens within a tile should lie on a local low-dimensional manifold with minimal variance.

Veda: Scalable Video Diffusion via Distilled Sparse Attention This implies that tokens within a tile should lie on a local low-dimensional manifold with minimal variance

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T07:54:13.390911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.