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Paper Citation Record · LEDGER

Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:34.782199Z

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 f90ada8d-d3e2-4fb9-9f24-446d71f044ea · inbound

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network cites this paper.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T20:59:34.782199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:59:34.782199Z digest=sha256:324b8ac8573606e065271fc1d3541540b93f12cec7532fde23c1a888e3ed9a01

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T11:05:05.783726Z digest=sha256:100dd79b33bd966ce29b7acffabdd81ad8459eac5998b3038b69ab25532aea92

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.

source=pdf_text observed=2026-08-07T00:24:13.725307Z digest=sha256:c721d74233d645aed4bb844b63e973ea552b972e3b3c07d2fb73bbc7d57225aa

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.

source=pdf_text observed=2026-08-06T18:38:18.227722Z digest=sha256:edd19ee497d31b29811edd361e46a849cfcc9cdc92a6093033e1d6a2065ec01f

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.

source=pdf_text observed=2026-08-05T22:52:29.895419Z digest=sha256:33dd7c3bd290718c7f38654a8045139aa7a375604b5ba2677c9c6b92429ff440

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.

source=pdf_text observed=2026-08-05T10:30:46.366884Z digest=sha256:83d608c8b71b72269d65da66309cdab4b3571696bdf68e938c2ef9bf551701c7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-14T02:19:48.646428Z digest=sha256:a9d6aa3491c7441e914406fdab35bdb1d6f2998baa90b8dee3f9cef787503d60