Paper Citation Record · LEDGER

Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.07517.

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

pith.paper-citation-record.v1
2408.07517 v3

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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:13.725307Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:07:15.249479Z

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 f51675c9-973c-43a6-aafa-9e49cc3b22bf · inbound

SiLIF: Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks cites this paper.

SiLIF: Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:07:15.251612Z

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 8f34f57b-b4be-43f8-adca-291f21274f81 · inbound

A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks cites this paper.

A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:13.725307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2748d2d-7849-48cc-8cba-4f4e38a45fd3 · inbound

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks cites this paper.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:18.227722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 567dff47-2044-47e3-a81f-0a0729b5856a · inbound

Low-Bit Data Processing Using Multiple-Output Spiking Neurons with Non-linear Reset Feedback cites this paper.

Low-Bit Data Processing Using Multiple-Output Spiking Neurons with Non-linear Reset Feedback Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T22:52:29.895419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e306c26-ee78-4739-991c-df4ea3498547 · inbound

An analog-electronic implementation of a harmonic oscillator recurrent neural network cites this paper.

An analog-electronic implementation of a harmonic oscillator recurrent neural network Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T10:30:46.366884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d129f3db-fc0c-4f34-bfc9-44874a79aad4 · inbound

FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping cites this paper.

FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-14T02:23:37.796677Z

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.