Paper Citation Record · LEDGER

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials

As of 7 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.04734.

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

pith.paper-citation-record.v1
2608.04734 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:17.800985Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact1
verified fuzzy11
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63d90c75-1fb2-4944-966a-442cb63e8907 · outbound

This paper cites In-Datacenter Performance Analysis of a Tensor Processing Unit,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials In-Datacenter Performance Analysis of a Tensor Processing Unit,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:18.098624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd8d174f-cda1-46b4-a03c-ec21545ee410 · outbound

This paper cites Flex-SFU: Activation Func- tion Acceleration with Non-Uniform Piecewise Approximation,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials Flex-SFU: Activation Func- tion Acceleration with Non-Uniform Piecewise Approximation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:18.079749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d64457e-ed4c-4246-a0cf-dc80d900ff32 · outbound

This paper cites Design Space Exploration of Neural Network Activation Function Circuits,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials Design Space Exploration of Neural Network Activation Function Circuits,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:18.062861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e998e987-f415-4405-a45e-9c3853111fda · outbound

This paper cites Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:18.045839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

This paper cites Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism.

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.

Observation 4beae960-84c1-42e7-9fd2-0ca96606f63a · outbound

This paper cites Aggressive Approximation of the SoftMax Function for Power-Efficient Hardware Implementations,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials Aggressive Approximation of the SoftMax Function for Power-Efficient Hardware Implementations,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:18.028069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 138a40b6-9f12-464b-99f4-cd69a00b949e · outbound

This paper cites Hardware-efficient Softmax Approximation for Self-Attention Networks,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials Hardware-efficient Softmax Approximation for Self-Attention Networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:18.011550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d42e9f85-4195-4ddf-8eff-f147e59140db · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.759109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4539e164-70c6-4e77-bbe3-a27f48d027a0 · outbound

This paper cites Digital Implementation of the Softmax Activation Function and the Inverse Softmax Function,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials Digital Implementation of the Softmax Activation Function and the Inverse Softmax Function,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:17.994008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8748cdd-2423-44d5-8cfc-e54ddbb57e42 · outbound

This paper cites ONE-SA: Enabling Nonlinear Operations in Systolic Arrays for Efficient and Flexible Neural Network Inference.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials ONE-SA: Enabling Nonlinear Operations in Systolic Arrays for Efficient and Flexible Neural Network Inference

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:54:17.844628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2f3583a-2607-4754-a6c0-bfe0e055b625 · outbound

This paper cites XXI. A new method of solving numerical equations of all orders, by continuous approximation,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials XXI. A new method of solving numerical equations of all orders, by continuous approximation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:17.978033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2eb01601-ae59-43f3-b57b-2adb9cfd715b · outbound

This paper cites an unresolved cited work.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:54:17.960907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce74d8f4-26a1-4f44-b101-e09db902caae · outbound

This paper cites Goodfellow, Y.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials Goodfellow, Y

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.785096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b89b4ad6-f626-46a8-9ae8-f21bfb97904f · outbound

This paper cites On Information and Sufficiency,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials On Information and Sufficiency,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:17.932553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d735801-379f-4f2f-bd61-79b086fad952 · outbound

This paper cites FreePDK v2.0: Transitioning VLSI education towards nanometer variation-aware designs,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials FreePDK v2.0: Transitioning VLSI education towards nanometer variation-aware designs,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:17.916068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c9d1066b-2fb4-480a-b8bc-55feaaa0a6e6 · outbound

This paper cites Expanding the range of con- vergence of the CORDIC algorithm,.

A Systolic Array Architecture for Nonlinear Activation Functions and Softmax Computation using Chebyshev Polynomials Expanding the range of con- vergence of the CORDIC algorithm,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:54:17.899008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.