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Paper Citation Record · LEDGER

A$^3$: Accelerating Attention Mechanisms in Neural Networks with Approximation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.10941.

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

pith.paper-citation-record.v1
2002.10941 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:30:16.981026Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T05:29:16.906275Z

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 91512def-a04d-4598-85eb-60786a70ca1c · inbound

Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding cites this paper.

Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding A$^3$: Accelerating Attention Mechanisms in Neural Networks with Approximation

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T05:29:16.912922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-08T05:29:16.728480Z digest=sha256:d4a9fb6f8a209822a3be9b6b27e2a358e68d4d3eec8bf0f4ef45ca2a45612939

Observation 3b968010-eb17-4f33-b7ed-7e20f11f12ac · inbound

FSGen: Agile Fused and Sparse Accelerator Generator with Accurate Power Model for LLM Applications cites this paper.

FSGen: Agile Fused and Sparse Accelerator Generator with Accurate Power Model for LLM Applications A$^3$: Accelerating Attention Mechanisms in Neural Networks with Approximation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T14:30:16.981026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:30:16.981026Z digest=sha256:eca4648cf8f45ff73a12ed39de725ec16a2050ed5ea370b7b7d0adca0d2bf981