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Paper Citation Record · LEDGER

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.08002.

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

pith.paper-citation-record.v1
2607.08002 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:03:51.564483Z

measured 30 of 30 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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External citation measurements

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Outbound references

Observation 889d0ceb-233e-4258-a86e-ce9e47949622 · outbound

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

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers In-Datacenter Performance Analysis of a Tensor Processing Unit,

Reference 1

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Observation 8f66958a-885f-4f95-badf-29354c59498c · outbound

This paper cites A Suggestion for a Fast Multiplier,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers A Suggestion for a Fast Multiplier,

Reference 2

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Observation a49d95bf-7bd5-4b49-a38b-9f60cdfafbfa · outbound

This paper cites Some Schemes for Parallel Multipliers,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Some Schemes for Parallel Multipliers,

Reference 3

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Observation f4847ad9-ce40-4c34-9892-141aa0e1e188 · outbound

This paper cites Modified Wallace Tree Multiplier Using Efficient Square Root Carry Select Adder,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Modified Wallace Tree Multiplier Using Efficient Square Root Carry Select Adder,

Reference 4

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Observation 018c7b53-e799-4cee-a163-df9a1e2f6f96 · outbound

This paper cites Efficient Processing of Deep Neural Networks: A Tutorial and Survey,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Efficient Processing of Deep Neural Networks: A Tutorial and Survey,

Reference 5

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Observation 7cb0c02f-b3d7-4b35-8b34-68800585d012 · outbound

This paper cites Systolic Arrays for VLSI,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Systolic Arrays for VLSI,

Reference 6

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Observation 2a3a8e07-7b7c-4d26-a902-9143426a676f · outbound

This paper cites Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference,

Reference 7

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Observation 1ff30444-4362-4871-b458-3e67c9eab3f9 · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 8

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Observation 5e12739d-4b15-4945-bb95-189f1d403bd5 · outbound

This paper cites A White Paper on Neural Network Quantization.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers A White Paper on Neural Network Quantization

Reference 9

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Observation 8216e03f-960b-42b8-becd-753901c1c8c3 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding,

Reference 10

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Observation bf08d5c4-7047-4b02-8e40-09c5be63a6ce · outbound

This paper cites Power Minimization in IC Design,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Power Minimization in IC Design,

Reference 11

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Observation 22684890-dfce-4631-b645-f6e82a760d91 · outbound

This paper cites Eyeriss: An Energy-Efficient Reconfigurable Accelera- tor,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Eyeriss: An Energy-Efficient Reconfigurable Accelera- tor,

Reference 12

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Observation 67b0073e-ff84-48ea-b512-e68813478794 · outbound

This paper cites SCNN: An Accelerator for Compressed-Sparse CNNs,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers SCNN: An Accelerator for Compressed-Sparse CNNs,

Reference 13

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Observation 6516ccb8-9251-47fa-9620-aa0549d40853 · outbound

This paper cites SparTen: A Sparsity-Aware Accelerator for DNNs,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers SparTen: A Sparsity-Aware Accelerator for DNNs,

Reference 14

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Observation de1b7f04-eb56-406e-8bbc-3bb079cac2ac · outbound

This paper cites Power-Intent Systolic Array Using Modified Parallel Multiplier,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Power-Intent Systolic Array Using Modified Parallel Multiplier,

Reference 15

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Observation 91a73bdc-761b-4d04-a5db-ca2053a60202 · outbound

This paper cites ReGate: Enabling Power Gating in Neural Processing Units,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers ReGate: Enabling Power Gating in Neural Processing Units,

Reference 16

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Observation c089dfa5-324f-44d1-a7f5-00541849d6c7 · outbound

This paper cites HALO: Hardware-Aware Quantization with Low Critical- Path-Delay Weights for LLM Acceleration,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers HALO: Hardware-Aware Quantization with Low Critical- Path-Delay Weights for LLM Acceleration,

Reference 17

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Observation ce19a639-5945-4cdf-b605-15d1e4501df3 · outbound

This paper cites Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration,

Reference 18

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Observation 22523c4e-2aac-4b74-8894-5bcf28a7ffac · outbound

This paper cites Cnvlutin: Ineffectual-Neuron-Free DNN Computing,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Cnvlutin: Ineffectual-Neuron-Free DNN Computing,

Reference 19

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Observation e348481b-992f-49d8-9d15-100d261ea82c · outbound

This paper cites PTTS: Power-Aware Tensor Cores Using Two-Sided Sparsity,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers PTTS: Power-Aware Tensor Cores Using Two-Sided Sparsity,

Reference 20

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Observation 81323aa4-9c3b-45fe-bbaa-9465388131b9 · outbound

This paper cites A Survey of Techniques for Approximate Computing,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers A Survey of Techniques for Approximate Computing,

Reference 21

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Observation c0fea3ab-b6f9-44d1-aafb-c0b8b1ca1ebf · outbound

This paper cites Survey of Stochastic Computing,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Survey of Stochastic Computing,

Reference 22

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Observation ea8cc362-4660-4357-b855-f316d2c4007f · outbound

This paper cites Energy-Efficient FPGA-Based Parallel Quasi-Stochastic Computing,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Energy-Efficient FPGA-Based Parallel Quasi-Stochastic Computing,

Reference 23

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Observation 9706bcbf-ed89-48f2-a119-a27425f7f15f · outbound

This paper cites Energy-Efficient FPGA-Based Parallel Quasi-Stochastic Computing,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Energy-Efficient FPGA-Based Parallel Quasi-Stochastic Computing,

Reference 24

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Observation 0a41a9de-ea41-4c48-bea7-4d290949ca5c · outbound

This paper cites Energy-Performance Scalability Analysis of a Novel Quasi-Stochastic Computing Approach,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Energy-Performance Scalability Analysis of a Novel Quasi-Stochastic Computing Approach,

Reference 25

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Observation ebe97bf6-5b1c-4b0b-ad93-c2e76a3bca3f · outbound

This paper cites Low-Power Null Convention Logic Multiplier Design Based on Gate Diffusion Input Technique,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Low-Power Null Convention Logic Multiplier Design Based on Gate Diffusion Input Technique,

Reference 26

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Observation 7ac51214-a922-41f7-b1e2-bba3db1b9c84 · outbound

This paper cites O’Donnell,Analysis of Boolean Functions.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers O’Donnell,Analysis of Boolean Functions

Reference 27

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Observation 43c52e01-992a-40cb-9e9f-5891dfc2bbd3 · outbound

This paper cites Probability Inequalities for Sums of Bounded Random Variables,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Probability Inequalities for Sums of Bounded Random Variables,

Reference 28

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Observation a145ccbb-c00e-49f6-ba90-a6b0d91fdf93 · outbound

This paper cites Cover and J.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Cover and J

Reference 29

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Observation 32d4f70d-99c8-4ae3-8bef-fc09f76f9555 · outbound

This paper cites Low-Power Register File for Tensor Cores,.

A Theoretical Framework for Stochastic Activity Prediction in Tensor Accelerator Wallace-Tree Multipliers Low-Power Register File for Tensor Cores,

Reference 30

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