Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.22796.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:15:18.309915Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T19:43:54.712585Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 55d919ff-f73d-4561-87b5-7e1836b9f89d · inbound
Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42feef2d-24e6-4fe5-83cb-7bd4c4fe05be · inbound
UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 824085dd-9630-43a3-af45-b7986610acb4 · inbound
RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
Reference 73
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.
Observation 9a130e4f-2820-48a8-ae18-aa3d73c92158 · inbound
SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.