Paper Citation Record · LEDGER

Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2111.10770.

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

pith.paper-citation-record.v1
2111.10770 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:17.743284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:16.827760Z

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 71c18002-10b7-4480-ae80-e78d946d50a3 · inbound

Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT cites this paper.

Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:55:51.706532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 34e0a73a-48de-4567-9fb0-9e71385e0aa8 · inbound

CIMple: Standard-cell SRAM-based CIM with LUT-based split softmax for attention acceleration cites this paper.

CIMple: Standard-cell SRAM-based CIM with LUT-based split softmax for attention acceleration Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:57:15.109584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 82e9fb37-6a34-48bb-9705-0eb001a383a9 · inbound

Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices cites this paper.

Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:16.830406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 20ccdf76-502c-4a91-9a38-365f46ff28b5 · inbound

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials cites this paper.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.743284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.