Paper Citation Record · LEDGER

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:03:44.701302Z

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 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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Source-reported events for the cited work

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Observation cb82b2b3-a395-4cdd-b3b6-fa12e57b52c8 · inbound

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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Observation 19c4baa7-60e6-41bd-8959-3f5345ee9bde · inbound

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

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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

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:28:09.857942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:16:08.589617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:46:04.472351Z

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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

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:46:30.086467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:37:09.947830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e8ac66fa-1060-492a-b85d-1ce0d08a2ce1 · inbound

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a69e090-51cc-4aa4-9f18-2c5e2aff84db · inbound

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

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:05:46.390748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:54:48.803811Z

Source-reported events for the cited work

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Observation 02aa4d01-63c9-45d9-8040-b05928c73457 · inbound

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

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:57:38.334607Z

Source-reported events for the cited work

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Observation 91240b77-ba6c-4466-8c78-2814b97af4dc · inbound

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

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:47:25.256083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 76af5a34-fde3-46f6-b8a8-fe7f0b512f54 · inbound

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

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:59:58.429422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:36:56.019937Z

Source-reported events for the cited work

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Observation f459efc1-1fc0-4bc3-8e9d-994208c2155b · inbound

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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Observation 129cfd3f-1fa5-4415-a947-6d35c79fed3d · inbound

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

Resolution: unresolved; no resolver link, observed 2026-07-11T11:54:21.248897Z

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Observation 90bed079-0c51-4202-89c9-85e7704b6f99 · inbound

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

Resolution: unresolved; no resolver link, observed 2026-07-14T06:56:53.384109Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-05T00:44:16.856913Z

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Observation e9ba58aa-6ed1-4a1f-bb94-f5473c79c076 · inbound

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

Resolution: unresolved; no resolver link, observed 2026-08-05T12:47:57.109900Z

Source-reported events for the cited work

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