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Paper Citation Record · LEDGER

CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.04663.

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

pith.paper-citation-record.v1
2402.04663 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:12:16.408598Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T05:55:31.967857Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 583824b1-dd4b-4f5a-a253-eba525d3a1fc · inbound

Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons cites this paper.

Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T11:12:16.408598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:12:16.408598Z digest=sha256:53b6d10fb9acdf72ee36f73c5b38539f7b2278b311cd66b5cc221f72ef4decb5

Observation 80e0fa7d-85a8-41d2-9479-f5d1bf6c3115 · inbound

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection cites this paper.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:32.504459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:32.504459Z digest=sha256:8b1e09c45c8b0209b2fa61b7b738e49b17f82d091cdc07d88a24bc54759d32a3

Observation 72a36404-4718-401c-901a-3e412d2674ca · inbound

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning cites this paper.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T21:59:43.166652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:43.166652Z digest=sha256:c4f45f5726caa99a504aa4b330566bd34ead0f45d59617928ea3b55376081a11

Observation 4d8afc88-22ab-4e42-a585-aecaa6002497 · inbound

Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods cites this paper.

Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T21:44:57.691450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:44:57.691450Z digest=sha256:23eadc36c1f20b68b3d4fa3af119270f597a81c531228d29df2ff969a7acaacd

Observation d6a739e5-fb06-4e36-9dcc-806353b50461 · inbound

SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization cites this paper.

SDSNN: A Single-Timestep Spiking Neural Network with Self-Dropping Neuron and Bayesian Optimization CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T10:19:20.511249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:19:20.511249Z digest=sha256:c5a8cf6c1ab6e50fb0e4db48865fe0184b2081f2c11701ec3c0a4bafb0bd4f08

Observation 159c1563-c5dd-41e4-a53f-71c707d01e31 · 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 CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:55:31.969251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T19:16:51.787216Z digest=sha256:b2d83858c71a02e928eeba9d34e461dd8bd515d9287ea2186e25ea054e5c1a44