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Paper Citation Record · LEDGER

Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.04397.

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

pith.paper-citation-record.v1
2304.04397 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:10:53.008960Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T16:39:14.986902Z

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 a864b27a-be2f-45f5-9602-736bd5c3503b · inbound

High-Order Matching for One-Step Shortcut Diffusion Models cites this paper.

High-Order Matching for One-Step Shortcut Diffusion Models Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-09T18:10:53.008960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:10:53.008960Z digest=sha256:42dc909cf590a1aac3352b16304f5c67131a71566ee78eb1b0e030dd45852aca

Observation 33fa3999-0ae4-4d1f-908c-86b291b3d7fe · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-08T16:39:14.990458Z

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.

source=pdf_text observed=2026-08-08T16:39:14.140101Z digest=sha256:598c0efa1d2c5765d937898fc1154c0c6be41b5f297da6a7168a5d8a0b33a8ac