Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.02111.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T07:26:58.608421Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f9899c2d-d053-4259-9442-db1820cb1600 · inbound
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks cites this paper.
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T16:01:46.015034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 17591edc-afa2-4f76-b545-765abb84ba16 · inbound
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems cites this paper.
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions
Reference 79
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:42:04.852843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0b0d1e80-4c44-4a00-8fc0-ef95787bd2bf · inbound
A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training cites this paper.
A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T21:06:11.618825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ec142599-9991-44a7-82c5-f8ac9dbd0ca9 · inbound
NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework cites this paper.
NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:14:51.575153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1507b536-5b74-40c0-b1dd-033c0e1f0013 · inbound
LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning cites this paper.
LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T13:48:21.537910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.