Paper Citation Record · LEDGER

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:1903.05662.

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

pith.paper-citation-record.v1
1903.05662 v4

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measured 0 of 0 reference resolution

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measured 30 of 30 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 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:49:17.789157Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:58.427669Z

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Outbound references

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Pith citing papers

Observation e78e497c-413a-4161-9c8b-805bd81be770 · inbound

IKUN: Initialization to Keep snn training and generalization great with sUrrogate-stable variaNce cites this paper.

IKUN: Initialization to Keep snn training and generalization great with sUrrogate-stable variaNce Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 2020

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Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction cites this paper.

Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 39

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Observation e5b752c7-9884-4734-a50e-9a5207c03d0b · inbound

QuantFormer: Learning to Quantize for Neural Activity Forecasting in Mouse Visual Cortex cites this paper.

QuantFormer: Learning to Quantize for Neural Activity Forecasting in Mouse Visual Cortex Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 62

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Observation ad8d69d8-fa3b-415f-857e-912ffdbfae4c · inbound

Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation cites this paper.

Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 62

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Observation 6db4f704-d94d-4259-92b4-d1ec40cc0604 · inbound

Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory cites this paper.

Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 26

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Observation ffbd40e8-6e66-4f06-9f31-efd726e19250 · inbound

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models cites this paper.

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 34

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Observation e6ef5d13-7a7a-4aea-b607-fece5728d620 · inbound

Optimizing Deep Neural Networks using Safety-Guided Self Compression cites this paper.

Optimizing Deep Neural Networks using Safety-Guided Self Compression Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 2019

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Observation fb9275a2-7580-49fe-a2fa-754f1f608c9b · inbound

Resource-Efficient Language Models: Quantization for Fast and Accessible Inference cites this paper.

Resource-Efficient Language Models: Quantization for Fast and Accessible Inference Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 73

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TACOcc:Target-Adaptive Cross-Modal Fusion with Volume Rendering for 3D Semantic Occupancy cites this paper.

TACOcc:Target-Adaptive Cross-Modal Fusion with Volume Rendering for 3D Semantic Occupancy Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 15

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TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision cites this paper.

TruncQuant: Truncation-Ready Quantization for DNNs with Flexible Weight Bit Precision Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 31

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Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception cites this paper.

Synesthesia of Machines (SoM)-Aided LiDAR Point Cloud Transmission for Collaborative Perception Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:58.318779Z

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Observation 0c77c2db-3d1f-418c-b7e2-5988bc667e94 · inbound

Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer cites this paper.

Molecular Design beyond Training Data with Novel Extended Objective Functionals of Generative AI Models Driven by Quantum Annealing Computer Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 33

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Observation a0f10731-a3dc-403d-abe3-f17d54838fa7 · inbound

JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency cites this paper.

JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 86

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Observation 6f4a079a-be6d-43fb-92d8-c9c000c8bbd7 · inbound

Training single-electron and single-photon stochastic physical neural networks cites this paper.

Training single-electron and single-photon stochastic physical neural networks Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 36

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Observation a80a3a5d-34e9-4176-8ebe-176aa180e76f · inbound

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation cites this paper.

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 89

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Observation ab1e9c4c-55b6-4343-8bd7-23617448fa2c · inbound

Improving Generalization by Permutation Routing Across Model Copies cites this paper.

Improving Generalization by Permutation Routing Across Model Copies Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 11

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Observation 257c78f9-9d0f-4334-9900-3cecf7c38ecd · inbound

A Controlled Diagnostic Study of Hardware-Induced Distortions in Hardware-Aware Training cites this paper.

A Controlled Diagnostic Study of Hardware-Induced Distortions in Hardware-Aware Training Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 16

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Observation 2a54ecb4-049a-4e40-957a-a760461bc804 · inbound

A Composite Activation Function for Learning Stable Binary Representations cites this paper.

A Composite Activation Function for Learning Stable Binary Representations Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:07:07.920946Z

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Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations cites this paper.

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 86

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Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations cites this paper.

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 86

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Observation c19bd1d1-1ce8-40ef-aab8-9c17b053f5a8 · inbound

Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications cites this paper.

Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 37

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LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization cites this paper.

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 20

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LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization cites this paper.

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 20

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Neural Network Quantization by Learning Low-Loss Subspaces cites this paper.

Neural Network Quantization by Learning Low-Loss Subspaces Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 54

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Observation ee2e82f7-3e0c-4129-864a-2dd8e42d164d · inbound

$\text{Log}_\text{b}$Quant: Quantizing Language Models in Logarithmic Space cites this paper.

$\text{Log}_\text{b}$Quant: Quantizing Language Models in Logarithmic Space Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 45

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Neural-Network-Assisted Binary Template Construction for Matrix-Based Pattern Matching in the STCF MDC cites this paper.

Neural-Network-Assisted Binary Template Construction for Matrix-Based Pattern Matching in the STCF MDC Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 22

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Energy Efficiency Maximization for Hybrid RIS-Aided Communications via Deep Unfolding cites this paper.

Energy Efficiency Maximization for Hybrid RIS-Aided Communications via Deep Unfolding Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 42

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MusicMark: A Robust Generative Watermarking Framework for Music Generation cites this paper.

MusicMark: A Robust Generative Watermarking Framework for Music Generation Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 35

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Beyond Token-Level Cross-Entropy: Fr\'echet Distributional Post-Training for Autoregressive Image Generation cites this paper.

Beyond Token-Level Cross-Entropy: Fr\'echet Distributional Post-Training for Autoregressive Image Generation Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 24

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DiffPower: GPU-Accelerated Differentiable Switching Power Analysis and Optimization cites this paper.

DiffPower: GPU-Accelerated Differentiable Switching Power Analysis and Optimization Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Reference 27

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