Lightweight LIF-only SNN accelerator using differential time encoding | Paper Citation Record

Observation 3e45818f-05b4-4054-9664-7bb770ac55fe · outbound

This paper cites GPT-4 Technical Report.

Lightweight LIF-only SNN accelerator using differential time encoding GPT-4 Technical Report

Reference 1

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Observation a9899eb8-2584-421d-b411-da78793c7f4a · outbound

This paper cites Are snns really more energy-efficient than anns? an in-depth hardware- aware study,.

Lightweight LIF-only SNN accelerator using differential time encoding Are snns really more energy-efficient than anns? an in-depth hardware- aware study,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.211279Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 991f0bd6-d37f-4b6e-804e-d33ed65f450d · outbound

This paper cites On the sampling sparsity of analog- to-spike conversion based on leaky integrate-and-fire,.

Lightweight LIF-only SNN accelerator using differential time encoding On the sampling sparsity of analog- to-spike conversion based on leaky integrate-and-fire,

Reference 3

Resolution: verified exact; doi, observed 2026-08-15T21:04:45.329489Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b6db31c-09d3-4215-89e5-3548361a44ce · outbound

This paper cites SNN Architecture for Differential Time Encoding Using Decoupled Processing Time.

Lightweight LIF-only SNN accelerator using differential time encoding SNN Architecture for Differential Time Encoding Using Decoupled Processing Time

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.098944Z

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Observation 3c1d4fb8-e26d-4f1d-bc1c-ebb068bb0aae · outbound

This paper cites Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding.

Lightweight LIF-only SNN accelerator using differential time encoding Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:04:45.801704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9b8004f6-3be5-479f-b516-ba8d44ae3589 · outbound

This paper cites MNIST Handwritten Digit Database,.

Lightweight LIF-only SNN accelerator using differential time encoding MNIST Handwritten Digit Database,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.107096Z

Source-reported events for the cited work

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Observation d06472a9-5903-4846-980b-ffcaa3b31f51 · outbound

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

Lightweight LIF-only SNN accelerator using differential time encoding Learning multiple layers of features from tiny images,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.112265Z

Source-reported events for the cited work

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Observation ec1c4468-2b5a-47f9-8cff-73d32bd9c73a · outbound

This paper cites Asap7: A 7-nm finfet predictive process design kit,.

Lightweight LIF-only SNN accelerator using differential time encoding Asap7: A 7-nm finfet predictive process design kit,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.180615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cb3bb8d2-eb46-4a2a-89a6-5fd81a3d8c84 · outbound

This paper cites Comprehensive online training and deployment for spiking neural networks,.

Lightweight LIF-only SNN accelerator using differential time encoding Comprehensive online training and deployment for spiking neural networks,

Reference 9

Resolution: verified exact; raw_fallback, observed 2026-08-15T21:04:45.784930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00fb37df-6b32-4f38-a01d-199bb4f15903 · outbound

This paper cites Enlarge: An efficient snn simulation framework on gpu clusters,.

Lightweight LIF-only SNN accelerator using differential time encoding Enlarge: An efficient snn simulation framework on gpu clusters,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.167361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f8e0aa5-6531-4ebc-b1cd-8880ed1e004e · outbound

This paper cites A gpu based simulation of multilayer spiking neural networks,.

Lightweight LIF-only SNN accelerator using differential time encoding A gpu based simulation of multilayer spiking neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.156772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 787c8583-b1fa-4901-ad24-05c7860cd9dd · outbound

This paper cites Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion.

Lightweight LIF-only SNN accelerator using differential time encoding Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:04:45.710000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84c65785-94b7-430f-a509-657f3518b17c · outbound

This paper cites GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures.

Lightweight LIF-only SNN accelerator using differential time encoding GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:04:45.694346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 580b9f88-ba38-4907-8236-9775405c246b · outbound

This paper cites Loihi: A neuromorphic manycore processor with on-chip learning,.

Lightweight LIF-only SNN accelerator using differential time encoding Loihi: A neuromorphic manycore processor with on-chip learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.145470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbae767a-5b3f-443c-b20c-40fb62f7e5be · outbound

This paper cites The spinnaker project,.

Lightweight LIF-only SNN accelerator using differential time encoding The spinnaker project,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.143167Z

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Observation 0b411813-b18f-4d02-81fb-26bbba5b287f · outbound

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

Lightweight LIF-only SNN accelerator using differential time encoding SpiNNaker 2: A 10 Million Core Processor System for Brain Simulation and Machine Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.146350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f54949b3-d84b-4b91-9af1-62511cf1ca61 · outbound

This paper cites Sparrowsnn: A hardware/software co-design for energy efficient ecg classification,.

Lightweight LIF-only SNN accelerator using differential time encoding Sparrowsnn: A hardware/software co-design for energy efficient ecg classification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.127901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c49706af-5f89-4a8b-acd7-ccef79e6f83b · outbound

This paper cites The impact of the mit-bih arrhythmia database,.

Lightweight LIF-only SNN accelerator using differential time encoding The impact of the mit-bih arrhythmia database,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.157559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b20d383-2689-47d5-9599-aa002515d5e9 · outbound

This paper cites Energy-efficient high- accuracy spiking neural network inference using time-domain neurons,.

Lightweight LIF-only SNN accelerator using differential time encoding Energy-efficient high- accuracy spiking neural network inference using time-domain neurons,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.110315Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 143b72e5-c076-4647-989c-728d52ae8ba6 · outbound

This paper cites A hybrid ann-snn architecture for low-power and low-latency visual perception,.

Lightweight LIF-only SNN accelerator using differential time encoding A hybrid ann-snn architecture for low-power and low-latency visual perception,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.098925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8cd2cb83-d2cd-4764-afa5-258a72ba575a · outbound

This paper cites Low-power spiking neural network audio source localisation using a hilbert transform audio event encoding scheme,.

Lightweight LIF-only SNN accelerator using differential time encoding Low-power spiking neural network audio source localisation using a hilbert transform audio event encoding scheme,

Reference 21

Resolution: verified exact; doi, observed 2026-08-15T21:04:45.317208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d9d6c75-d789-4c18-97cc-a9ff7b5a3995 · outbound

This paper cites Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons.

Lightweight LIF-only SNN accelerator using differential time encoding Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:04:45.625484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 009e5a37-4189-4dca-af7c-6de9e33b661d · outbound

This paper cites Deepfire2: A convolutional spiking neural network accelerator on fpgas,.

Lightweight LIF-only SNN accelerator using differential time encoding Deepfire2: A convolutional spiking neural network accelerator on fpgas,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.184520Z

Source-reported events for the cited work

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Observation b26a6bdd-053f-4618-9766-46f615747356 · outbound

This paper cites A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception.

Lightweight LIF-only SNN accelerator using differential time encoding A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T21:04:45.640307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec66fc5e-a2e6-4db5-a4ab-f08b4e5f8c1d · outbound

This paper cites Firefly: A high- throughput hardware accelerator for spiking neural networks with effi- cient dsp and memory optimization,.

Lightweight LIF-only SNN accelerator using differential time encoding Firefly: A high- throughput hardware accelerator for spiking neural networks with effi- cient dsp and memory optimization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.080106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2b6f04a-5b40-4285-8219-e433b07d0ec1 · outbound

This paper cites Syncnn: Evaluating and accel- erating spiking neural networks on fpgas,.

Lightweight LIF-only SNN accelerator using differential time encoding Syncnn: Evaluating and accel- erating spiking neural networks on fpgas,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.194595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 750a1f5c-69f3-4825-b556-d05e154b0f22 · outbound

This paper cites S2n2: A fpga accelerator for streaming spiking neural networks,.

Lightweight LIF-only SNN accelerator using differential time encoding S2n2: A fpga accelerator for streaming spiking neural networks,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.197638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cf0b36d-082e-4500-b387-2935801e51dc · outbound

This paper cites A low power and low latency fpga-based spiking neural network accelerator,.

Lightweight LIF-only SNN accelerator using differential time encoding A low power and low latency fpga-based spiking neural network accelerator,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.187879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 535f2c29-d30f-4578-87ba-ac64d1addd9b · outbound

This paper cites Unsupervised aer object recognition based on multiscale spatio-temporal features and spiking neurons,.

Lightweight LIF-only SNN accelerator using differential time encoding Unsupervised aer object recognition based on multiscale spatio-temporal features and spiking neurons,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.048510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c60209bf-0b7b-41e4-9adb-6f462178f0b6 · outbound

This paper cites Impact of the aer- induced timing distortion on spiking neural networks implementing dsp,.

Lightweight LIF-only SNN accelerator using differential time encoding Impact of the aer- induced timing distortion on spiking neural networks implementing dsp,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.036980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42a19ac0-5db5-4945-8841-04f8f84ec2ff · outbound

This paper cites Efficient hardware implementa- tion of stdp for aer based large-scale snn neuromorphic system,.

Lightweight LIF-only SNN accelerator using differential time encoding Efficient hardware implementa- tion of stdp for aer based large-scale snn neuromorphic system,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.024236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae2fd83b-223e-4919-ad33-6bcbaa1a78d9 · outbound

This paper cites Ac- celerating spike-by-spike neural networks on fpga with hybrid custom floating-point and logarithmic dot-product approximation,.

Lightweight LIF-only SNN accelerator using differential time encoding Ac- celerating spike-by-spike neural networks on fpga with hybrid custom floating-point and logarithmic dot-product approximation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.059885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b12dff9-2176-4cab-b565-35e4b46f8b50 · outbound

This paper cites Robust and efficient bio- inspired data-sampling prototype for time-series analysis,.

Lightweight LIF-only SNN accelerator using differential time encoding Robust and efficient bio- inspired data-sampling prototype for time-series analysis,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:46.012994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 360341d5-c7f9-4c62-a6d0-83397491c92f · outbound

This paper cites Fast and low-power leading-one detectors for energy-efficient logarithmic computing,.

Lightweight LIF-only SNN accelerator using differential time encoding Fast and low-power leading-one detectors for energy-efficient logarithmic computing,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.225012Z

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Unavailable: canonical work link unavailable.

Observation 9dd4320b-2a65-49cf-904c-a945d631d110 · outbound

This paper cites Leading one detectors and leading one position detectors - an evolutionary design methodology,.

Lightweight LIF-only SNN accelerator using differential time encoding Leading one detectors and leading one position detectors - an evolutionary design methodology,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.990013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a396d87-4315-4af6-a6fe-b053f8dd49a6 · outbound

This paper cites Neuromorphic Computing with AER using Time-to-Event-Margin Propagation.

Lightweight LIF-only SNN accelerator using differential time encoding Neuromorphic Computing with AER using Time-to-Event-Margin Propagation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.215562Z

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Observation f45d29e8-c15e-4e86-b66e-53f63e3687c8 · outbound

This paper cites Approximate leading one detector design for a hardware-efficient mitchell multiplier,.

Lightweight LIF-only SNN accelerator using differential time encoding Approximate leading one detector design for a hardware-efficient mitchell multiplier,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.966800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a35574d7-cf79-4d5d-b484-f23180512500 · outbound

This paper cites Toward an open-source digital flow: First learnings from the openroad project,.

Lightweight LIF-only SNN accelerator using differential time encoding Toward an open-source digital flow: First learnings from the openroad project,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.239384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9a1099b-deb7-41d4-8082-e5ac959367f8 · outbound

This paper cites On the versatility of the ihp bicmos open source and manufacturable pdk: A step towards the future where anybody can design and build a chip,.

Lightweight LIF-only SNN accelerator using differential time encoding On the versatility of the ihp bicmos open source and manufacturable pdk: A step towards the future where anybody can design and build a chip,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.947470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b362c93a-c625-4b23-b700-cbe7317e0903 · outbound

This paper cites GitHub repository of the IIC-OSIC- TOOLS,.

Lightweight LIF-only SNN accelerator using differential time encoding GitHub repository of the IIC-OSIC- TOOLS,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.936210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 803789d5-290c-43a4-bee1-40aacf587e38 · outbound

This paper cites Vlsi implementations of low-power leading-one detector circuits,.

Lightweight LIF-only SNN accelerator using differential time encoding Vlsi implementations of low-power leading-one detector circuits,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.978734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 226bb87f-26cb-4f03-942a-c927c18158c2 · outbound

This paper cites A 4096-neuron 1m-synapse 3.8-pj/sop spiking neural network with on-chip stdp learning and sparse weights in 10-nm finfet cmos,.

Lightweight LIF-only SNN accelerator using differential time encoding A 4096-neuron 1m-synapse 3.8-pj/sop spiking neural network with on-chip stdp learning and sparse weights in 10-nm finfet cmos,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.913924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44c21f03-870b-4d2d-8333-561a38ac3018 · outbound

This paper cites Scalable energy-efficient, low-latency implementations of trained spik- ing deep belief networks on spinnaker,.

Lightweight LIF-only SNN accelerator using differential time encoding Scalable energy-efficient, low-latency implementations of trained spik- ing deep belief networks on spinnaker,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.902831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 434941b2-946c-4d22-9845-8ddde25e0589 · outbound

This paper cites Always-on sub-microwatt spiking neural network based on spike-driven clock- and power-gating for an ultra-low-power intelligent device,.

Lightweight LIF-only SNN accelerator using differential time encoding Always-on sub-microwatt spiking neural network based on spike-driven clock- and power-gating for an ultra-low-power intelligent device,

Reference 44

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T21:04:45.473748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b34168e-f70f-489a-9dba-06022ecd5042 · outbound

This paper cites Encoding, model, and architecture: Systematic optimization for spiking neural network in fpgas,.

Lightweight LIF-only SNN accelerator using differential time encoding Encoding, model, and architecture: Systematic optimization for spiking neural network in fpgas,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.263086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff065b6-2c61-4085-abb1-763e134ceeeb · outbound

This paper cites Robust 7-nm sram design on a predictive pdk,.

Lightweight LIF-only SNN accelerator using differential time encoding Robust 7-nm sram design on a predictive pdk,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.924587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80eb848e-63ea-4d62-9fa7-e8c00d6332d8 · outbound

This paper cites A 61-nw level-crossing adc with adaptive sampling for biomedical applications,.

Lightweight LIF-only SNN accelerator using differential time encoding A 61-nw level-crossing adc with adaptive sampling for biomedical applications,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.873253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d9b0a2b-e233-4014-a30c-66a688510f61 · outbound

This paper cites A fixed window level crossing adc with activity dependent power dissipation,.

Lightweight LIF-only SNN accelerator using differential time encoding A fixed window level crossing adc with activity dependent power dissipation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.861568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9cd22b06-671d-4911-8d42-2877b3955c03 · outbound

This paper cites Training spiking neural networks using lessons from deep learning,.

Lightweight LIF-only SNN accelerator using differential time encoding Training spiking neural networks using lessons from deep learning,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.276048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57783e2b-bc8e-461c-a69c-a76b203d2178 · outbound

This paper cites Cifar-10 analysis with a neural net- work,.

Lightweight LIF-only SNN accelerator using differential time encoding Cifar-10 analysis with a neural net- work,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.844611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4368caf-b9c3-4eda-a95f-49a1b8317c0a · outbound

This paper cites Robust and efficient bio- inspired data-sampling prototype for time-series analysis,.

Lightweight LIF-only SNN accelerator using differential time encoding Robust and efficient bio- inspired data-sampling prototype for time-series analysis,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.884986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eb9fe43d-463d-4b63-87c3-4fd3ae3cd9b7 · outbound

This paper cites Cifar-10 classification using linear models, ann, and cnn,.

Lightweight LIF-only SNN accelerator using differential time encoding Cifar-10 classification using linear models, ann, and cnn,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:04:45.832337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 417923f3-1170-4172-81cf-950b58fc7937 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 18268744.

Lightweight LIF-only SNN accelerator using differential time encoding Available: https://api.semanticscholar.org/CorpusID: 18268744

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.115576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15a1bb40-bb08-4a62-ab64-282102498921 · outbound

This paper cites an unresolved cited work.

Lightweight LIF-only SNN accelerator using differential time encoding Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:04:46.001025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e6e5ab7-4ea0-4179-9132-f482a9853ae5 · outbound

This paper cites Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons.

Lightweight LIF-only SNN accelerator using differential time encoding Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T21:04:45.656862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1338b293-5466-4851-bcf2-a7d90f626e3f · outbound

This paper cites SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification.

Lightweight LIF-only SNN accelerator using differential time encoding SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T21:04:45.153514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

Outbound references

Pith citing papers