Paper Citation Record · LEDGER

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2502.10422.

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

pith.paper-citation-record.v1
2502.10422 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:20:50.182924Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:13:33.543190Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:14:02.117562Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy35
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16d04c6b-1ae9-410b-a53f-a77f9e5b48c3 · outbound

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

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Networks of spiking neurons: The third generation of neural network models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.700458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aaaf11c0-ea80-4bcf-ae62-b001aafbfd79 · outbound

This paper cites Homeostatic plasticity in the developing nervous system,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Homeostatic plasticity in the developing nervous system,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.686904Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f7976499-841b-4d4e-8a87-f98a0bfe13dc · outbound

This paper cites Beyond plasticity: the dynamic impact of electrical synapses on neural circuits,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Beyond plasticity: the dynamic impact of electrical synapses on neural circuits,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.672645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b54b1b63-20e4-4070-b9cd-9a6080089992 · outbound

This paper cites Lapicque’s introduction of the integrate-and-fire model neuron (1907),.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Lapicque’s introduction of the integrate-and-fire model neuron (1907),

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.658120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c9a56189-f7ba-4462-b182-7c41c36bd2d0 · outbound

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

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Going Deeper With Directly-Trained Larger Spiking Neural Networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.643000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 58da295c-bc1c-4ed7-be5c-a87556989108 · outbound

This paper cites Membrane Potential Batch Normal- ization for Spiking Neural Networks,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Membrane Potential Batch Normal- ization for Spiking Neural Networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.628892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b689b5a-fe16-4677-9e5f-6b37e10d04c2 · outbound

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

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Deep Residual Learning in Spiking Neural Networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.614702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 092cf11c-40d9-4771-b775-7913ab7a2e35 · outbound

This paper cites Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.600613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9de1d529-15b9-4270-a2a5-15eb04d63273 · outbound

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

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Advancing Spiking Neural Networks Toward Deep Residual Learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.585954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ae01267-3f32-4684-ba83-143105f27786 · outbound

This paper cites IM-Loss: Information Maximization Loss for Spiking Neural Networks,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks IM-Loss: Information Maximization Loss for Spiking Neural Networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.572282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1e3400c2-1926-417c-8428-b0a32a70211c · outbound

This paper cites Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.558003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b7babaed-10b7-4707-92ef-6b67a8c800a7 · outbound

This paper cites Gradual Surrogate Gra- dient Learning in Deep Spiking Neural Networks,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Gradual Surrogate Gra- dient Learning in Deep Spiking Neural Networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.544796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6f6250df-72ef-44b5-9a14-5dcc1206fe2a · outbound

This paper cites Event- Based Multimodal Spiking Neural Network with Attention Mechanism,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Event- Based Multimodal Spiking Neural Network with Attention Mechanism,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.532497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b1e3a9b4-7e44-44db-bc5e-883e6d6de9bf · outbound

This paper cites Long short-term memory and Learning-to-learn in networks of spiking neurons,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Long short-term memory and Learning-to-learn in networks of spiking neurons,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.519731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a630e5c-8b2f-4f41-89ba-6f068603805b · outbound

This paper cites LTMD: Learn- ing Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks LTMD: Learn- ing Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.505746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 02ccf4de-3450-4c5b-bee3-35595081df52 · outbound

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

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.491324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 92a99fd4-6715-4bbf-9628-7e7a7bf8cb50 · outbound

This paper cites DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.476517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 22b62610-b654-44f6-9bce-50468a0c7fde · outbound

This paper cites Biologically Inspired Dynamic Thresholds for Spik- ing Neural Networks,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Biologically Inspired Dynamic Thresholds for Spik- ing Neural Networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.461751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7aa346c8-2453-4231-9c2e-65a33209ede6 · outbound

This paper cites Rsnn: Recurrent spiking neural networks for dynamic spatial- temporal information processing,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Rsnn: Recurrent spiking neural networks for dynamic spatial- temporal information processing,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.447068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 14c323df-c8c9-456a-abd9-9265986e9854 · outbound

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

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Spatio-Temporal Backpropagation for Training High-Performance Spiking Neu- ral Networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.432882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 276d9d80-ef35-4555-b9dc-f55335fa2a36 · outbound

This paper cites Cifar-10 (canadian institute for advanced research),.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Cifar-10 (canadian institute for advanced research),

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.420048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 67da8059-f62f-47a1-8616-983536c44275 · outbound

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

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks ImageNet: A large-scale hierarchical image database,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.407106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a8c08be-717d-4b6a-9bd5-1afb6c9e377d · outbound

This paper cites CIFAR10-DVS: An Event-Stream Dataset for Object Classification,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks CIFAR10-DVS: An Event-Stream Dataset for Object Classification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.394047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0ae080d5-212a-4ed4-8e01-78c64f4c7cc2 · outbound

This paper cites A Low Power, Fully Event-Based Gesture Recognition System,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks A Low Power, Fully Event-Based Gesture Recognition System,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.380668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a8076d7e-d83b-4941-8db8-984eee87196f · outbound

This paper cites RecDis-SNN: Rectifying Membrane Potential Dis- tribution for Directly Training Spiking Neural Networks,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks RecDis-SNN: Rectifying Membrane Potential Dis- tribution for Directly Training Spiking Neural Networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.366349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3768a6b3-3470-4414-95a5-1614650c1446 · outbound

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

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.351567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f92a37a2-55d8-4eb9-9372-dae240a9d8a3 · outbound

This paper cites Temporal Efficient Train- ing of Spiking Neural Network via Gradient Re-weighting,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Temporal Efficient Train- ing of Spiking Neural Network via Gradient Re-weighting,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.337274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 906b458a-3177-40bf-9394-f9b066158935 · outbound

This paper cites Learnable Surrogate Gradient for Direct Training Spiking Neural Networks,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Learnable Surrogate Gradient for Direct Training Spiking Neural Networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.322774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b9f9793c-2806-4926-ac19-0ca2f722fa3c · outbound

This paper cites Tensor decomposition based attention module for spiking neu- ral networks,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Tensor decomposition based attention module for spiking neu- ral networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.308273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation caf97be0-f182-4e38-9cca-01dc53b808bc · outbound

This paper cites IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.292918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f9651054-4f95-4644-b8a8-560f7466d720 · outbound

This paper cites Spatial- Temporal Self-Attention for Asynchronous Spiking Neural Net- works,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Spatial- Temporal Self-Attention for Asynchronous Spiking Neural Net- works,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.277063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4cea358a-a20d-493f-b204-22b18135a9da · outbound

This paper cites Attention Spiking Neural Networks,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Attention Spiking Neural Networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.262988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 31dfa5b9-06a4-4998-b211-359cdd6c047a · outbound

This paper cites Inherent Redundancy in Spiking Neural Networks,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Inherent Redundancy in Spiking Neural Networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.248082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d480bbfb-2ec5-4040-bfe2-c762e3313985 · outbound

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

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Temporal-Wise Attention Spiking Neural Networks for Event Streams Classification,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.233859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7ad8215d-2883-4028-beef-759f7fcc868f · outbound

This paper cites Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: from Algorithms to Technology,.

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: from Algorithms to Technology,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:20:50.219080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 06346e41-4a3f-43a2-9dc0-181db04c1709 · inbound

Edge Intelligence with Spiking Neural Networks cites this paper.

Edge Intelligence with Spiking Neural Networks DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:14:02.245394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.