Pith. sign in

Paper Citation Record · LEDGER

Predicting Attention Sparsity in Transformers

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.12188.

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

pith.paper-citation-record.v1
2109.12188 v2

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:07:14.139019Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:33:20.574358Z

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 252946ae-4f9b-4ff8-a62e-5e8f114532fb · inbound

Reducing Reasoning Costs: The Path of Optimization for Chain of Thought via Sparse Attention Mechanism cites this paper.

Reducing Reasoning Costs: The Path of Optimization for Chain of Thought via Sparse Attention Mechanism Predicting Attention Sparsity in Transformers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T21:07:14.139019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:07:14.139019Z digest=sha256:33933343860c212becd15e7c948b50f4c30e3dbc564936e263a41f987f5cff40

Observation 6db4eafb-e19a-4c80-b130-8b1c4c7adb7e · inbound

Perspectives on Tsallis Statistics for Artificial Intelligence cites this paper.

Perspectives on Tsallis Statistics for Artificial Intelligence Predicting Attention Sparsity in Transformers

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:33:20.596817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T00:33:17.882968Z digest=sha256:65a19f8c777915d7721d66940a6dc56b55e001fa31ec84dade995788dc004788