Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.11261.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:39.707545Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:36:28.975399Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- 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 827c5401-b6c8-4dea-8623-d3494d0ea2dc · inbound
Numerical Pruning for Efficient Autoregressive Models cites this paper.
Numerical Pruning for Efficient Autoregressive Models Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:27.157691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5748dcb5-66fc-4481-94f6-b02c403a961e · inbound
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers cites this paper.
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Reference 87
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.707545Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 667e2d93-1b48-4406-b069-100373e2a167 · inbound
On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis cites this paper.
On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:42:28.223554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a8dba0f-26dc-47ee-81fe-0e856ea6a27b · inbound
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation cites this paper.
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:51:12.558692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b202b886-7f38-4158-a517-0a9045b4ddff · inbound
Universal Approximation of Visual Autoregressive Transformers cites this paper.
Universal Approximation of Visual Autoregressive Transformers Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:39:14.211419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6740093-4468-4bfb-98e9-ea5c20b7031a · inbound
LatentLLM: Attention-Aware Joint Tensor Compression cites this paper.
LatentLLM: Attention-Aware Joint Tensor Compression Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:36:29.038387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.