Paper Citation Record · LEDGER

LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.09101.

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

pith.paper-citation-record.v1
2304.09101 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:22.011823Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:05:43.593745Z

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 9b616fd2-ab39-40bd-9c93-062f00e19b2e · inbound

Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation cites this paper.

Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:36:11.099463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3431307-c55c-4450-8132-cb4dd7e1bfb3 · inbound

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment cites this paper.

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T13:57:21.295097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ec3ce4-717b-4006-88f5-c94612554d6a · inbound

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks cites this paper.

Head-Tail-Aware KL Divergence in Knowledge Distillation for Spiking Neural Networks LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:22.011823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7bbbbc5-36bd-4728-8455-6d74155f5f9b · inbound

Cross Knowledge Distillation between Artificial and Spiking Neural Networks cites this paper.

Cross Knowledge Distillation between Artificial and Spiking Neural Networks LaSNN: Layer-wise ANN-to-SNN Distillation for Effective and Efficient Training in Deep Spiking Neural Networks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:05:43.597063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.