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Paper Citation Record · LEDGER

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions

As of 14 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2412.17654.

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

pith.paper-citation-record.v1
2412.17654 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:24:30.218732Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

  • verified exact8
  • verified fuzzy20
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

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Outbound references

Observation 2b1d1686-cd2d-4c0f-8adf-bb797550bbb1 · outbound

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

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Networks of spiking neurons: The third generation of neural network models,

Reference 1

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Observation 868f1bc0-b9d9-46a4-89d9-5ebca92a89f5 · outbound

This paper cites Towards spike-based machine intelligence with neuromorphic computing,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Towards spike-based machine intelligence with neuromorphic computing,

Reference 2

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Observation e9998e9b-c159-44fd-9e4f-57443a35578a · outbound

This paper cites A Hybrid Spiking Neural Network Reinforcement Learning Agent for Energy-Efficient Object Manipulation,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions A Hybrid Spiking Neural Network Reinforcement Learning Agent for Energy-Efficient Object Manipulation,

Reference 3

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Observation 846345fe-f6a6-4a0a-acc4-ee6a5d51ca43 · outbound

This paper cites Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition,

Reference 4

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Observation f5c4638a-c611-4699-87ea-87cb2b7bb86e · outbound

This paper cites Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification,

Reference 5

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Observation 9b14a33a-7125-4f08-b654-235f926ab91b · outbound

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

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration,

Reference 6

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Observation db6b0baa-dc08-4de5-a63f-3f8777399b31 · outbound

This paper cites Spiking Deep Residual Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spiking Deep Residual Networks,

Reference 7

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Observation 9d068311-8407-40c0-b497-ab9772c45f15 · outbound

This paper cites Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikes,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikes,

Reference 8

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Observation 3c0479f7-bb4c-493e-9b37-52516ef60aba · outbound

This paper cites Training Deep Spiking Neural Networks Using Backpropagation,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Training Deep Spiking Neural Networks Using Backpropagation,

Reference 9

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Observation d13d43c3-16bf-4faf-9b89-ab6639236257 · outbound

This paper cites Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks,

Reference 10

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Observation cc9f6627-3e39-4093-95fe-61fb3e234738 · outbound

This paper cites SLAYER: Spike Layer Error Reassignment in Time,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions SLAYER: Spike Layer Error Reassignment in Time,

Reference 11

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Observation ae233737-b6bd-448c-8799-94da3c8cc3fd · outbound

This paper cites an unresolved cited work.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Unresolved cited work

Reference 12

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Observation 51cadf92-e151-458c-9e92-c75e0475dfd9 · outbound

This paper cites Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures,

Reference 13

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Observation 957404bf-9b37-4189-9187-8ec685a62867 · outbound

This paper cites Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks

Reference 14

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Observation 6ef13cbb-180c-40f8-b43c-733c5d0f6755 · outbound

This paper cites Advancing Spiking Neural Networks Toward Deep Residual Learning,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Advancing Spiking Neural Networks Toward Deep Residual Learning,

Reference 15

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Observation 6a7b4ac9-d7d1-457f-9ea0-0d4d9f8eb25e · outbound

This paper cites Deep Residual Learning in Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Deep Residual Learning in Spiking Neural Networks,

Reference 16

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Observation 1879475f-b6b3-4a30-80b7-fabf18e4da92 · outbound

This paper cites Spikformer: When Spiking Neural Network Meets Transformer.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spikformer: When Spiking Neural Network Meets Transformer

Reference 17

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Observation 712923c8-45dd-497e-a931-70d4c580ea5e · outbound

This paper cites CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 18

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Observation 1b787c82-b1ca-4ec7-9896-da635f80c319 · outbound

This paper cites Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks,

Reference 19

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Observation 30c930c9-d5b1-4801-9a50-152e51b864b6 · outbound

This paper cites GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 20

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Observation a23d46ac-5e66-428a-be3e-2d238a5e0695 · outbound

This paper cites Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks,

Reference 21

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Observation b45ae4ab-b5ac-49c1-a466-9191b5fda45e · outbound

This paper cites Enhancing Training of Spiking Neural Network with Stochastic Latency,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Enhancing Training of Spiking Neural Network with Stochastic Latency,

Reference 22

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Observation baec7fdf-28f4-4d4b-9e07-7525b06ee00f · outbound

This paper cites Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 23

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Observation 57eaa8a7-e280-4dcb-b859-93e5c6fa84b3 · outbound

This paper cites Going Deeper With Directly-Trained Larger Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Going Deeper With Directly-Trained Larger Spiking Neural Networks,

Reference 24

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Observation f276ee53-78c6-4627-8542-aafefd79a5d3 · outbound

This paper cites Deep learning in spiking neural networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Deep learning in spiking neural networks,

Reference 25

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Observation 67774465-6aa6-4a30-b7fd-7e1e7a4582a1 · outbound

This paper cites Deep Directly-Trained Spiking Neural Networks for Object Detection,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Deep Directly-Trained Spiking Neural Networks for Object Detection,

Reference 26

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 321b10e7-0550-47b4-abf6-7a55afc7a626 · outbound

This paper cites High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost

Reference 27

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Observation f0386553-2716-4f0b-b3dc-72830b59b356 · outbound

This paper cites Online Training Through Time for Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Online Training Through Time for Spiking Neural Networks

Reference 28

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Observation c0b5b70b-64a3-49d8-9dec-f7ba7cf0a624 · outbound

This paper cites Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks,

Reference 29

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 45b1ce2b-8750-4f71-b9b0-c76ab72f428a · outbound

This paper cites TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks,

Reference 30

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 78433b3d-e857-4e2b-a3b0-0335ca880d04 · outbound

This paper cites Temporal-wise Attention Spiking Neural Networks for Event Streams Classification,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Temporal-wise Attention Spiking Neural Networks for Event Streams Classification,

Reference 31

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8c1afe2f-3e5a-4896-8203-face77ede56f · outbound

This paper cites Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks

Reference 32

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local_arxiv, observed 2026-08-11T05:24:30.627986Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ae71ca6d-b7bc-4d23-857c-09e587c85baa · outbound

This paper cites Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding

Reference 33

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.164826Z digest=sha256:ea3e72ca6afc74c412c498cf76fadeeacd031d010eefb6966bbab8c41f2a3398

Observation d93ec6af-a417-479f-9cdc-d7cc4ceef69a · outbound

This paper cites DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Reference 34

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no resolver link, observed 2026-08-11T05:24:30.168150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.168150Z digest=sha256:ff7095fcd84c350c22251cf1239f9205be3c3e0bcf1a65b608f1303e7c88e829

Observation 3781fb9e-cc6c-4028-9956-578d1842f122 · outbound

This paper cites Microsoft COCO: Common Objects in Context,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Microsoft COCO: Common Objects in Context,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.169728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.171171Z digest=sha256:1a106478595df5f83d81c802171a947425a2f8d9291b0d42c134cbb06c611890

Observation f75926d7-3621-4579-8a83-d1e93b73f9d8 · outbound

This paper cites The Pascal Visual Object Classes (VOC) Challenge,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions The Pascal Visual Object Classes (VOC) Challenge,

Reference 36

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unresolved
no resolver link, observed 2026-08-11T05:24:30.174847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.174847Z digest=sha256:b8d90840325103f1356abf3ff60209c901aa0514e97b51aa489f7a1c16c667b7

Observation aece515c-4e4a-4386-a1b0-fb9e696b6067 · outbound

This paper cites Retinomorphic Object Detection in Asynchronous Visual Streams,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Retinomorphic Object Detection in Asynchronous Visual Streams,

Reference 37

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verified exact
doi, observed 2026-08-11T05:24:30.245999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.177325Z digest=sha256:4e955cd75053393fe7758fdcb3b601ed31d0a5ab92e55aaf420711ebf47d2312

Observation 847cd980-b19b-4f45-853f-d1c3e542e92f · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions You Only Look Once: Unified, Real-Time Object Detection,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T05:24:30.179960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.179960Z digest=sha256:6640ee97332251e5fbd08d0bcc5e86baac69b53847876087b44a87b4c7425e02

Observation 997e1020-c212-456b-ae90-a203c96229c6 · outbound

This paper cites Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.161701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.182680Z digest=sha256:0b5a68199415978f5ff384dcf03d2c0bc43baa3738a92476122c1742c3e0c865

Observation 3d6f3781-aaec-4c71-a748-4e4c4b0db444 · outbound

This paper cites Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization,

Reference 40

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unresolved
no resolver link, observed 2026-08-11T05:24:30.185629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.185629Z digest=sha256:a234bbb7ccbe48ba17e9938f9547a45f789d6ea1367f066f6bcc7202a7763a31

Observation 7c80966f-559f-4ec9-ab52-ed6af6953f3d · outbound

This paper cites Trainable Spiking-YOLO for low-latency and high-performance object detection,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Trainable Spiking-YOLO for low-latency and high-performance object detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.153275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.188356Z digest=sha256:0803ad820a679c155a16cb03e350c4674f3f8cc3e77b5bcdec2c2170717e351b

Observation 5f178ad5-2c5b-4ce0-a715-b6b3e0383e84 · outbound

This paper cites SFOD: Spiking Fusion Object Detector,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions SFOD: Spiking Fusion Object Detector,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.144226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.190967Z digest=sha256:575d26ce3830fe352be39ef26cf4862b4d3d175e55de6f87fce4e6b43d6bd39a

Observation 52d98a3f-58e1-41d2-99e4-b10c51d3fdf0 · outbound

This paper cites Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:24:30.545615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.193671Z digest=sha256:6dae2820a5a9faca182d77451e11ed40904ffe14a1e1ecb26eba705df86e8537

Observation 23d55c51-895e-4093-9c6d-37855c2630ee · outbound

This paper cites Direct Training for Spiking Neural Networks: Faster, Larger, Better.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Direct Training for Spiking Neural Networks: Faster, Larger, Better

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:24:30.534792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.196408Z digest=sha256:c3844da5716a94133e5e169e4afea2516cf66e0ae53a610ae48a83cb2c635ba7

Observation 29deca50-5a76-433a-a85f-55be14a9f1a1 · outbound

This paper cites Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T05:24:30.199084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.199084Z digest=sha256:a042317def497bea22102f0e2f360cd01eacde44c22fcae9b962da39a0b2de9d

Observation 9ca15c33-ec17-40ab-b374-2880e92a00b3 · outbound

This paper cites Neural Coding in Spiking Neural Networks: A Comparative Study for Robust Neuromorphic Systems,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Neural Coding in Spiking Neural Networks: A Comparative Study for Robust Neuromorphic Systems,

Reference 46

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no resolver link, observed 2026-08-11T05:24:30.201208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.201208Z digest=sha256:d7d5e25de1e5dfc84f70a6139e05cff30fecdbd0e5a0862d9005761c482942eb

Observation 9ac47dd6-046e-4b2f-b60e-77a8f3a558ff · outbound

This paper cites Conversion of analog to spiking neural networks using sparse temporal coding,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Conversion of analog to spiking neural networks using sparse temporal coding,

Reference 47

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metadata mismatch
raw_fallback, observed 2026-08-11T05:24:30.411164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.204549Z digest=sha256:1a6bbfcd6187437b820d930f05bfcd1ccade546225b8e42d80693c9505528b3a

Observation be82cb17-2f39-4877-b28e-6624dadb1fac · outbound

This paper cites T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding,

Reference 48

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unresolved
no resolver link, observed 2026-08-11T05:24:30.207567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.207567Z digest=sha256:e86d5ff79b6ec8444e909418f3f98f776cf859e8750e4d49427e5a39857f015e

Observation 44d1d5be-5c19-4419-a0e9-3eca911c7007 · outbound

This paper cites Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.135711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.209598Z digest=sha256:22293045539a8c7b769c54ebce19a357190749a01133d6e838a8cf487b3b4b04

Observation 9b102c43-be00-4e17-b7a9-a599e902f046 · outbound

This paper cites Cooperative behavior in periodically driven noisy integrate-fire models of neuronal dynamics,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Cooperative behavior in periodically driven noisy integrate-fire models of neuronal dynamics,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.127541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.212467Z digest=sha256:4b42e7e2f135b0079f8771242b73d01d5f0366f9609c840879ba2891ec266c7a

Observation 37c2d65e-ef61-40e5-b342-5d26d9f7df52 · outbound

This paper cites Spiking Deep Networks with LIF Neurons.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Spiking Deep Networks with LIF Neurons

Reference 51

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no resolver link, observed 2026-08-11T05:24:30.214373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:24:30.214373Z digest=sha256:3638b53f13e84da7c4f7685705f284270ddc7b5196436bd5737adb3e1bb5e299

Observation c8d4d03c-91dc-406f-92ee-8ea4f9763079 · outbound

This paper cites SPIKING NEURON MODELS Single Neurons , Populations , Plasticity,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions SPIKING NEURON MODELS Single Neurons , Populations , Plasticity,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.119172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.216797Z digest=sha256:6d426f4d55b9ebef4c2f58a4166c95e85d4528f41c1e463070f5f26ce9f67263

Observation f1cf2a13-ae6c-4c39-bb72-ffa866a97d2d · outbound

This paper cites Threaten Spiking Neural Networks through Combining Rate and Temporal Information,.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Threaten Spiking Neural Networks through Combining Rate and Temporal Information,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.108811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.218732Z digest=sha256:3fb22f0873a1974bb0f2a8e3303f511e539cc8f89dbc0095d8adcd2a8e273b16

Observation ee9beca7-b0b2-4c35-96d9-686df3780cc3 · outbound

This paper cites Available: https://proceedings.mlr.press/v139/li21d.html.

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions Available: https://proceedings.mlr.press/v139/li21d.html

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T05:24:31.254408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T05:24:30.088411Z digest=sha256:1d6cbabcd835960254f4da1e02d1954089f173431fd358f6380c6467c9021c8d

Pith citing papers

No inbound Pith citation observations are available.