Paper Citation Record · LEDGER

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2505.10371.

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

pith.paper-citation-record.v1
2505.10371 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:17:36.154278Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T19:16:51.787216Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T05:55:31.917996Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy25
unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b9cc032-98af-4892-8d45-a2436858970e · outbound

This paper cites Long short-term memory and learning-to-learn in net- works of spiking neurons.NeurIPS, 31,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Long short-term memory and learning-to-learn in net- works of spiking neurons.NeurIPS, 31,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.505118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56165960-b2b0-4aa7-a940-577f4b13dffb · outbound

This paper cites Surrogate module learning: Reduce the gradi- ent error accumulation in training spiking neural networks.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Surrogate module learning: Reduce the gradi- ent error accumulation in training spiking neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.455302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bf1def37-9e38-4817-99ea-e71b3b50b053 · outbound

This paper cites Temporal effective batch normalization in spiking neural networks.NeurIPS, 35:34377–34390,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Temporal effective batch normalization in spiking neural networks.NeurIPS, 35:34377–34390,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.430753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bcbb25a6-61f3-4a04-859c-8249f5e466a0 · outbound

This paper cites Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:17:36.076552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12753ee6-c7c1-4775-8263-c02555bd2a39 · outbound

This paper cites Reducing information loss for spiking neural networks.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Reducing information loss for spiking neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.418558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a350c14-d89a-4581-8308-2f7a9a0ab80f · outbound

This paper cites Membrane potential batch normalization for spiking neural networks.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Membrane potential batch normalization for spiking neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.406531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f330923f-00d7-4637-8268-70d06693d589 · outbound

This paper cites Learning both weights and connections for efficient neural network.Advances in neural information processing systems, 28,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Learning both weights and connections for efficient neural network.Advances in neural information processing systems, 28,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:17:36.086685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a17e8e8-accf-43eb-9652-f4c1062f4fe3 · outbound

This paper cites Differen- tiable spike: Rethinking gradient-descent for training spik- ing neural networks.NeurIPS, 34:23426–23439,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Differen- tiable spike: Rethinking gradient-descent for training spik- ing neural networks.NeurIPS, 34:23426–23439,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.367612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2244e4c7-be1c-4130-843d-c5c5465c44a2 · outbound

This paper cites Networks of spiking neu- rons: the third generation of neural network models.Neu- ral networks, 10(9):1659–1671,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Networks of spiking neu- rons: the third generation of neural network models.Neu- ral networks, 10(9):1659–1671,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:17:36.098132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d45ffd-79a5-44a0-b793-7fa0115496e0 · outbound

This paper cites Towards memory-and time-efficient backpropagation for training spiking neural networks.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Towards memory-and time-efficient backpropagation for training spiking neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.337948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e00db4c-f3b6-459f-afcc-fa6f28ce79dc · outbound

This paper cites an unresolved cited work.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T21:17:36.108425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f124efd-9ee6-458e-ac6a-e1047ebd11ad · outbound

This paper cites Deep learning in spiking neural net- works.Neural networks, 111:47–63,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Deep learning in spiking neural net- works.Neural networks, 111:47–63,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.307176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5584d8a7-7a12-4946-be9e-cb838b40779f · outbound

This paper cites Autaptic synaptic circuit enhances spatio-temporal predictive learn- ing of spiking neural networks.PMLR,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Autaptic synaptic circuit enhances spatio-temporal predictive learn- ing of spiking neural networks.PMLR,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.296302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 627e0259-f351-4f48-bb94-39faaabac3c5 · outbound

This paper cites Temporal- coded spiking neural networks with dynamic firing thresh- old: Learning with event-driven backpropagation.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Temporal- coded spiking neural networks with dynamic firing thresh- old: Learning with event-driven backpropagation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.286219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c0619609-87bd-4d45-9db3-7dc15003ab2d · outbound

This paper cites Backpropagation through time: what it does and how to do it.Proceedings of the IEEE, 78(10):1550–1560,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Backpropagation through time: what it does and how to do it.Proceedings of the IEEE, 78(10):1550–1560,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.275638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51f5f238-d175-4a1b-a074-2f190cbf1d42 · outbound

This paper cites Online train- ing through time for spiking neural networks.NeurIPS, 35:20717–20730,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Online train- ing through time for spiking neural networks.NeurIPS, 35:20717–20730,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.251800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af8461b8-9d36-4eb2-adc7-35e4f82fdb67 · outbound

This paper cites Glif: A unified gated leaky integrate-and-fire neuron for spiking neural networks.NeurIPS, 35:32160– 32171,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Glif: A unified gated leaky integrate-and-fire neuron for spiking neural networks.NeurIPS, 35:32160– 32171,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.241246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation baf1a661-cf6f-4ec5-a408-109b2f6571f2 · outbound

This paper cites Superspike: Supervised learning in multi- layer spiking neural networks.Neural computation, 30(6):1514–1541,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Superspike: Supervised learning in multi- layer spiking neural networks.Neural computation, 30(6):1514–1541,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.229441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4c3ce197-e4f1-4238-94bd-38b6c0f5e610 · outbound

This paper cites Fast and robust learning in spiking feed-forward neural networks based on intrinsic plasticity mechanism.Neurocomputing, 365:102–112,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Fast and robust learning in spiking feed-forward neural networks based on intrinsic plasticity mechanism.Neurocomputing, 365:102–112,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.218827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7182e1a1-3af5-4658-b705-6dd8902d141c · outbound

This paper cites Going deeper with directly-trained larger spiking neural networks.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Going deeper with directly-trained larger spiking neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.206627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9565509-2fb1-4dc0-be43-0af936312562 · outbound

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

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Spikformer: When Spiking Neural Network Meets Transformer

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:17:36.154278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d87193f-af1b-4d3e-afc8-d53b48cac86f · outbound

This paper cites Direct training for spiking neu- ral networks: Faster, larger, better.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Direct training for spiking neu- ral networks: Faster, larger, better

Reference 1990

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.263368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ad2cf94-b029-426d-ab85-f4de3eb4c467 · outbound

This paper cites Training high-performance low-latency spiking neural net- works by differentiation on spike representation.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Training high-performance low-latency spiking neural net- works by differentiation on spike representation

Reference 1997

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.349657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3da7f58-bece-4e60-9c76-57dc5d369859 · outbound

This paper cites Clif: Complementary leaky integrate-and- fire neuron for spiking neural networks.ICML,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Clif: Complementary leaky integrate-and- fire neuron for spiking neural networks.ICML,

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.388906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0338e0f1-e372-41e6-a682-848df8e2c6c1 · outbound

This paper cites Neuro- morphic brain-inspired computing with hybrid neural net- works.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Neuro- morphic brain-inspired computing with hybrid neural net- works

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.494783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e2a3f7b9-78fa-480d-84a2-b7c9176a21b5 · outbound

This paper cites Cirm-snn: Certainty interval reset mechanism spiking neuron for en- abling high accuracy spiking neural network.Neural Pro- cessing Letters, 55(6):7561–7582,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Cirm-snn: Certainty interval reset mechanism spiking neuron for en- abling high accuracy spiking neural network.Neural Pro- cessing Letters, 55(6):7561–7582,

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.319038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5961a0a4-7fa0-430e-a699-91945d4eb24a · outbound

This paper cites Towards ultra low latency spiking neural networks for vision and sequential tasks using temporal pruning.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Towards ultra low latency spiking neural networks for vision and sequential tasks using temporal pruning

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.482658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a6929be-d5b0-4b1c-bda0-35f7bec9ce38 · outbound

This paper cites In- vestigating current-based and gating approaches for ac- curate and energy-efficient spiking recurrent neural net- works.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks In- vestigating current-based and gating approaches for ac- curate and energy-efficient spiking recurrent neural net- works

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.469815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9ad6ff0f-397c-43bc-bb05-2d03653db020 · outbound

This paper cites Bi- ologically inspired dynamic thresholds for spiking neural networks.NeurIPS, 35:6090–6103,.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Bi- ologically inspired dynamic thresholds for spiking neural networks.NeurIPS, 35:6090–6103,

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.443025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d8287e7-e5dc-44a6-8dac-5e86640fd977 · outbound

This paper cites Tab: Temporal ac- cumulated batch normalization in spiking neural networks.

ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks Tab: Temporal ac- cumulated batch normalization in spiking neural networks

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:17:36.377691Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 6f386945-7c15-4c32-b85e-c89cbb32daa0 · inbound

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization cites this paper.

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:55:31.925572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.