Paper Citation Record · LEDGER

Advancing Spiking Neural Networks towards Deep Residual Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2112.08954.

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

pith.paper-citation-record.v1
2112.08954 v3

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 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:16.706770Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:45:58.508807Z

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 a006d12c-662d-44f9-a494-2d9cd6fe4914 · inbound

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

QKFormer: Hierarchical Spiking Transformer using Q-K Attention Advancing Spiking Neural Networks towards Deep Residual Learning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:45:58.512102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0c197388-6e86-4e54-a718-59cf5253f2a9 · inbound

Learnable Sparsification of Die-to-Die Communication via Spike-Based Encoding cites this paper.

Learnable Sparsification of Die-to-Die Communication via Spike-Based Encoding Advancing Spiking Neural Networks towards Deep Residual Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:16.706770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba4e155-cee9-40b4-bc13-995a994f1190 · inbound

Adaptive Spiking Neurons for Vision and Language Modeling cites this paper.

Adaptive Spiking Neurons for Vision and Language Modeling Advancing Spiking Neural Networks towards Deep Residual Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:30:30.723686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 769af5c4-a199-402e-94f2-c375c64b85a2 · inbound

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation cites this paper.

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation Advancing Spiking Neural Networks towards Deep Residual Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:15:11.758456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.