Paper Citation Record · LEDGER

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:1602.02830.

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

pith.paper-citation-record.v1
1602.02830 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:45:25.188488Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

2201
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 03ea4fde-0c59-4a3d-a169-861ae803873c · inbound

Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars cites this paper.

Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-25T18:36:07.981030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 273c704c-edfb-4a72-bb75-747e77f9399d · inbound

Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks cites this paper.

Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-25T18:56:08.768543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f8ea890-1419-4227-94e6-81d9245e51c7 · inbound

New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms cites this paper.

New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-25T16:56:04.257696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6d419b3b-5e89-48de-8916-33dff50dad5d · inbound

A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology cites this paper.

A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-24T18:14:47.947205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2f527e50-0cf4-43ae-b20d-584846883322 · inbound

Efficient Detection and Quantification of Timing Leaks with Neural Networks cites this paper.

Efficient Detection and Quantification of Timing Leaks with Neural Networks Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T17:09:43.435045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 90aa0f15-bece-44c9-ae84-f9a25f962e70 · inbound

Co-Evolutionary Compression for Unpaired Image Translation cites this paper.

Co-Evolutionary Compression for Unpaired Image Translation Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-24T16:49:41.819095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 267ccc1b-72e3-47a9-bc57-470357176411 · inbound

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale cites this paper.

LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-05-13T13:35:36.057909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f1e0a4d-40fd-4714-8e83-b71c751d1f7e · inbound

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics cites this paper.

Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 297

Resolution: verified exact; local_arxiv, observed 2026-05-24T10:24:20.169666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 156ff39f-d0a3-4d08-8e15-88383b96f6e3 · inbound

A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks cites this paper.

A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-19T03:32:01.753806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 826eb67d-47d2-4620-b6fa-2ac37683b083 · inbound

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models cites this paper.

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:44:26.573928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c3128f1-3b2d-45ac-b322-3b3a09b5b0dd · inbound

LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models cites this paper.

LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T14:45:25.188488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea87543-f0a2-440c-859a-12680ec31947 · inbound

Learning to Optimize by Differentiable Programming cites this paper.

Learning to Optimize by Differentiable Programming Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T08:39:31.794176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b50d9587-1b13-44e6-b05d-af168370a6c7 · 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 Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:46:04.432031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96c597c1-4583-4c2b-b858-4c5575a3e494 · inbound

Design and Implementation of BNN-Based Object Detection on FPGA cites this paper.

Design and Implementation of BNN-Based Object Detection on FPGA Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:56:29.905471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 91b215c7-fcaa-49b7-99fc-0628764febd9 · inbound

Design and Implementation of BNN-Based Object Detection on FPGA cites this paper.

Design and Implementation of BNN-Based Object Detection on FPGA Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T01:46:14.552563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8150cf4a-f4ca-4fb4-a06d-64324051a126 · inbound

DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition cites this paper.

DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:31:31.806905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9cbdb982-fdcd-4d04-98f0-da147ff8290f · inbound

DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition cites this paper.

DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T01:49:21.479529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 94317dcd-77ec-4383-81f5-612ca5a9904a · inbound

SURGE: Surrogate Gradient Adaptation in Binary Neural Networks cites this paper.

SURGE: Surrogate Gradient Adaptation in Binary Neural Networks Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:37:26.582352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation da47ea62-4dbe-49c4-98d8-74b6662acdf6 · inbound

SURGE: Surrogate Gradient Adaptation in Binary Neural Networks cites this paper.

SURGE: Surrogate Gradient Adaptation in Binary Neural Networks Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T17:52:42.921241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88780506-129a-42ec-847c-21206f3e2120 · inbound

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

A Composite Activation Function for Learning Stable Binary Representations Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:07:07.875986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ae2ce55c-f81d-48bb-a448-bfbcde6a93fd · inbound

FTerViT: Fully Ternary Vision Transformer cites this paper.

FTerViT: Fully Ternary Vision Transformer Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-21T06:03:59.464785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a5df4d6a-170b-4946-873b-06c240887488 · inbound

Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning cites this paper.

Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-30T15:54:49.340326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1633ba84-03b9-4c73-bf97-bbb7e2202632 · inbound

QuoVLA: Quotient Space for Vision-Language-Action Models cites this paper.

QuoVLA: Quotient Space for Vision-Language-Action Models Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:34:39.436259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9662aa90-cc86-48e3-b17f-9b83fdd8aa46 · inbound

Low-Energy Reduced RISC-V Instruction Subset Processor for Tsetlin Machine Inference at the Edge cites this paper.

Low-Energy Reduced RISC-V Instruction Subset Processor for Tsetlin Machine Inference at the Edge Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:19:30.000501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d49e7c22-9d3a-4f58-96d3-a584101cd995 · inbound

Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks cites this paper.

Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T10:19:47.791156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 05d8dc46-4d29-4003-bbb2-4d5c4bce4d7c · inbound

Spatial Partial Functionalization of Neural Networks based on Noise Fields cites this paper.

Spatial Partial Functionalization of Neural Networks based on Noise Fields Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-04T19:10:05.119213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 909750c5-1408-4a28-81b6-b555895e4959 · inbound

Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks cites this paper.

Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-29T05:13:06.512726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 87bbf8b6-7d03-4853-bd0f-629b37b4a762 · inbound

Neural Very Weak Formulations enabling Hardware-Oriented deep PDE solvers cites this paper.

Neural Very Weak Formulations enabling Hardware-Oriented deep PDE solvers Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T02:03:19.014754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cea5fbf7-5d02-4cc8-aa45-b2ac79ab7e4f · inbound

Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices cites this paper.

Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T15:53:44.708622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2443d6a-56d3-4f78-b969-5c48ff3719e0 · inbound

HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models cites this paper.

HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T14:11:20.879253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.