Paper Citation Record · LEDGER

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion

As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2411.17431.

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

pith.paper-citation-record.v1
2411.17431 v1

Coverage vector

measured 44 of 44 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation acdb7ea5-9f29-4949-8c38-116de86b0f10 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 1

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Observation c141b6f0-4f67-45ce-823f-a0c6a852e290 · outbound

This paper cites Towards a bio-inspired real-time neuromorphic cerebellum.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Towards a bio-inspired real-time neuromorphic cerebellum

Reference 2

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Observation 5251c790-ca57-49c4-bbee-9e48ed168434 · outbound

This paper cites Optimal ann-snn conversion for high- accuracy and ultra-low-latency spiking neural networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Optimal ann-snn conversion for high- accuracy and ultra-low-latency spiking neural networks

Reference 3

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Observation ae953433-9f05-4f70-8f97-695e5997a093 · outbound

This paper cites Neuromorphic computing using non-volatile memory.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Neuromorphic computing using non-volatile memory

Reference 4

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Observation ef234394-a470-4940-92c1-e79fb5b05c18 · outbound

This paper cites Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors

Reference 5

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Observation 03c2cea8-14b1-47ae-b410-5a84e68d7750 · outbound

This paper cites Nanoscale room-temperature multilayer skyrmionic synapse for deep spiking neural networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Nanoscale room-temperature multilayer skyrmionic synapse for deep spiking neural networks

Reference 6

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Observation 36f3c661-1586-4652-91c9-975ddfdb0c8d · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Imagenet: A large-scale hierarchical image database

Reference 7

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Observation 7f4a0b9e-246b-46ce-984c-654768660a87 · outbound

This paper cites Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks

Reference 8

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Observation d707bfd1-5903-49b0-bf33-c425cf0bb658 · outbound

This paper cites Fast-classifying, high- accuracy spiking deep networks through weight and thresh- old balancing.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Fast-classifying, high- accuracy spiking deep networks through weight and thresh- old balancing

Reference 9

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Observation 74a467f0-faff-4f57-bc9b-8131c5e15384 · outbound

This paper cites Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks

Reference 10

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Observation 99ca27eb-b762-4804-b1ad-c6539446374e · outbound

This paper cites Noise in the nervous system.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Noise in the nervous system

Reference 11

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Observation 86cf6e02-8e1e-4976-92fb-d6390a86f854 · outbound

This paper cites Deep Residual Learning in Spiking Neural Networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Deep Residual Learning in Spiking Neural Networks

Reference 12

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Observation fdcef6c2-6262-4e27-9520-0a439ae48a63 · outbound

This paper cites Stochastic resonance.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Stochastic resonance

Reference 13

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Observation eedffd85-92fc-428e-beb2-c91b72f81cbd · outbound

This paper cites Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural net- work.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Rmp-snn: Residual membrane potential neuron for enabling deeper high-accuracy and low-latency spiking neural net- work

Reference 14

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Observation 0d374391-5d9d-4c5e-8e37-5b4ad1a22bc2 · outbound

This paper cites Reducing ANN-SNN Conversion Error through Residual Membrane Potential.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Reducing ANN-SNN Conversion Error through Residual Membrane Potential

Reference 15

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Observation b2fba48f-75d0-40dd-8ed1-e5ef45df9691 · outbound

This paper cites Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes

Reference 16

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Observation 36f78eda-b31c-4879-9739-e6d04f8a893e · outbound

This paper cites Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN

Reference 17

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Observation 16e41675-6bd1-481c-9652-acad3249b185 · outbound

This paper cites Low-latency spiking neural networks using pre-charged membrane potential and delayed evalua- tion.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Low-latency spiking neural networks using pre-charged membrane potential and delayed evalua- tion

Reference 18

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This paper cites A unified optimization framework of ann-snn conversion: Towards optimal mapping from activa- tion values to firing rates.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion A unified optimization framework of ann-snn conversion: Towards optimal mapping from activa- tion values to firing rates

Reference 19

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Observation 2dac0d57-ec7f-482b-8959-96fb60baac68 · outbound

This paper cites Extracting oscillations: Neuronal co- incidence detection with noisy periodic spike input.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Extracting oscillations: Neuronal co- incidence detection with noisy periodic spike input

Reference 20

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Observation c2e44ecd-b90f-470b-8035-82d2d3302415 · outbound

This paper cites Learning multiple layers of features from tiny images.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Learning multiple layers of features from tiny images

Reference 21

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Observation 656b58e1-fe77-4bb7-8f5c-000482dd8c70 · outbound

This paper cites Quantization frame- work for fast spiking neural networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Quantization frame- work for fast spiking neural networks

Reference 22

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Observation 4b935905-fb37-4009-a34c-7b10ae6522ad · outbound

This paper cites Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence

Reference 23

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Observation f45a86da-c901-4e0f-9ca4-120b0cec1c93 · outbound

This paper cites A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration

Reference 24

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This paper cites Differentiable spike: Rethinking gradient-descent for training spiking neural networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Differentiable spike: Rethinking gradient-descent for training spiking neural networks

Reference 25

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Observation ea5cc400-8153-4388-9320-0182c0832e5d · outbound

This paper cites Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks

Reference 26

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Observation a158b6bb-7ba6-4b4d-8858-ff911e135f70 · outbound

This paper cites Networks of spiking neurons: the third generation of neural network models.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Networks of spiking neurons: the third generation of neural network models

Reference 27

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Observation 67bdf13f-cf4d-4c6c-a86f-308b34a3595a · outbound

This paper cites SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning

Reference 28

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Observation 08c9fc6a-8682-4b75-80ba-9d4aae9251d0 · outbound

This paper cites Training much deeper spiking neural networks with a small number of time-steps.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Training much deeper spiking neural networks with a small number of time-steps

Reference 29

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Observation 646bd238-e743-4bf3-81ab-791046ca5e84 · outbound

This paper cites Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spik- ing neural networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spik- ing neural networks

Reference 30

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Observation cb5f57d4-4cae-4fc9-9fb0-17e6b581f8d8 · outbound

This paper cites Efficient neuromorphic signal processing with loihi 2.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Efficient neuromorphic signal processing with loihi 2

Reference 31

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Observation 306d86ab-e60d-4246-b82d-0b11f3feab75 · outbound

This paper cites The brainscales-2 accelerated neuromorphic sys- tem with hybrid plasticity.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion The brainscales-2 accelerated neuromorphic sys- tem with hybrid plasticity

Reference 32

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Observation c9e8046a-237b-4643-be9e-6b049ead51a3 · outbound

This paper cites Towards spike-based machine intelligence with neuromor- phic computing.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Towards spike-based machine intelligence with neuromor- phic computing

Reference 33

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Observation ec45ef64-5dfa-434c-8b2d-1fba17438f18 · outbound

This paper cites Conversion of continuous-valued deep networks to efficient event-driven networks for image classification.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Conversion of continuous-valued deep networks to efficient event-driven networks for image classification

Reference 34

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This paper cites A wafer-scale neuromorphic hardware system for large-scale neural modeling.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion A wafer-scale neuromorphic hardware system for large-scale neural modeling

Reference 35

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Observation 02835d0f-0629-444b-b62a-72702fdfbc95 · outbound

This paper cites Going deeper in spiking neural networks: Vgg and residual architectures.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Going deeper in spiking neural networks: Vgg and residual architectures

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:13:02.122109Z

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Observation 3cda05eb-fff6-4ff6-899e-98414d416a9f · outbound

This paper cites Slayer: Spike layer error reassignment in time.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Slayer: Spike layer error reassignment in time

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:13:02.098007Z

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Observation 754ed624-0e8c-4ed8-a836-b1172482b7d6 · outbound

This paper cites Neuronal variability: noise or part of the signal? Nature Reviews Neuroscience, 6(5):389–397, 2005.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Neuronal variability: noise or part of the signal? Nature Reviews Neuroscience, 6(5):389–397, 2005

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:13:02.064911Z

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Observation 0368a7b3-4158-40c3-9c3d-cc88ac54efad · outbound

This paper cites Spatio-temporal backpropagation for training high- performance spiking neural networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Spatio-temporal backpropagation for training high- performance spiking neural networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:13:02.038861Z

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Observation a4bf1560-a0d9-43f7-966b-9ff7b41d9521 · outbound

This paper cites SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN

Reference 40

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Observation 04f43e0a-1c6a-40ee-af25-a563f1082ed6 · outbound

This paper cites A plasticity-centric approach to train the non-differential spiking neural networks.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion A plasticity-centric approach to train the non-differential spiking neural networks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:13:02.018277Z

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Observation 937386b8-b385-410a-bbc3-16ba746ecc75 · outbound

This paper cites Theorem 1.

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Theorem 1

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:13:01.997548Z

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Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Unresolved cited work

Reference 43

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Observation 05a84a81-78c3-4be4-9d2c-cb0d13d2e0ae · outbound

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Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Unresolved cited work

Reference 44

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Pith citing papers

No inbound Pith citation observations are available.