Paper Citation Record · LEDGER

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2303.04347.

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

pith.paper-citation-record.v1
2303.04347 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:07:11.551183Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T20:05:04.799957Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 bb992e65-69a9-46b3-9717-d2127df43897 · inbound

QKFormer: Hierarchical Spiking Transformer using Q-K Attention cites this paper.

QKFormer: Hierarchical Spiking Transformer using Q-K Attention Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:45:58.533407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 217939e1-b34f-4e49-97d2-d9940423eddd · inbound

Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT cites this paper.

Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-23T05:22:35.198098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af039db7-25a9-4ee3-975b-14f1b89780da · inbound

STI-SNN: A 0.14 GOPS/W/PE Single-Timestep Inference FPGA-based SNN Accelerator with Algorithm and Hardware Co-Design cites this paper.

STI-SNN: A 0.14 GOPS/W/PE Single-Timestep Inference FPGA-based SNN Accelerator with Algorithm and Hardware Co-Design Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:07:11.551183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3bd0f9f-1edb-459b-ab47-4e3e9010409a · inbound

SPACT18: Spiking Human Action Recognition Benchmark Dataset with Complementary RGB and Thermal Modalities cites this paper.

SPACT18: Spiking Human Action Recognition Benchmark Dataset with Complementary RGB and Thermal Modalities Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:22:53.721348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 075b5824-c700-4c89-86ce-f59ae60f0f8a · inbound

FFGAF-SNN: The Forward-Forward Based Gradient Approximation Free Training Framework for Spiking Neural Networks cites this paper.

FFGAF-SNN: The Forward-Forward Based Gradient Approximation Free Training Framework for Spiking Neural Networks Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:05.381105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e81e083-4f12-4cb0-9b13-358601a2842d · 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 Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:19.196878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8d0702-5402-4e15-9adf-cc066aed526e · inbound

Error Amplification Limits ANN-to-SNN Conversion in Continuous Control cites this paper.

Error Amplification Limits ANN-to-SNN Conversion in Continuous Control Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T06:57:05.553589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4086311f-67f8-46fc-ad32-8307cba201be · inbound

Latency Coding for Efficient and Low-Latency Deep Spiking Neural Networks cites this paper.

Latency Coding for Efficient and Low-Latency Deep Spiking Neural Networks Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T17:37:47.443560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c80d542-559c-411a-bad7-809c29aacddb · inbound

DarkShake-DVS: Event-based Human Action Recognition under Low-light andShaking Camera Conditions cites this paper.

DarkShake-DVS: Event-based Human Action Recognition under Low-light andShaking Camera Conditions Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:39:40.740193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6fc2ef41-8960-4e4e-8a55-bbc3db5f53ec · inbound

ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing cites this paper.

ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:23:55.437231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aedd2d06-7cfe-4679-a299-7b1c3f360d57 · inbound

Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients cites this paper.

Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.804433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f00fb9f8-e3de-44da-a85d-f05bdf3dd843 · inbound

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection cites this paper.

Efficient and Robust Spiking Neural Networks for sEMG-Based Muscle Fatigue Detection Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T07:18:22.701907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ab1c38-6e86-43ac-9810-544f47658fee · inbound

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning cites this paper.

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-05T21:03:58.071501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.