Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.11261.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:42:28.223554Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:36:28.975399Z
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 667e2d93-1b48-4406-b069-100373e2a167 · inbound
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
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 Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Reference 54
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 Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Reference 35
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 Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.