Paper Citation Record · LEDGER

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.01533.

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

pith.paper-citation-record.v1
2402.01533 v2

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:05.388534Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:44:45.303138Z

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 33cde5e1-5f15-4e28-890b-9772e244e189 · inbound

Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time cites this paper.

Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time Efficient and Effective Time-Series Forecasting with Spiking Neural Networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:05.388534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb75bcb-62e9-4baf-8733-6b1400cd33b8 · inbound

User Trajectory Prediction Unifying Global and Local Temporal Information cites this paper.

User Trajectory Prediction Unifying Global and Local Temporal Information Efficient and Effective Time-Series Forecasting with Spiking Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:36.353680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fb903de-2914-4076-9ff0-4ad4bfd73c47 · inbound

Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition cites this paper.

Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition Efficient and Effective Time-Series Forecasting with Spiking Neural Networks

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:58.522512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c391b67d-87ea-4f6d-8f3f-bc7484be310d · inbound

Assessing Region-Level EEG Contributions to Cognitive Workload Prediction cites this paper.

Assessing Region-Level EEG Contributions to Cognitive Workload Prediction Efficient and Effective Time-Series Forecasting with Spiking Neural Networks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:44:45.305952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.