Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.07862.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:42:42.063573Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T14:25:46.079398Z
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 d3baf97c-5112-4ae8-88ab-46db7e62cb01 · inbound
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning cites this paper.
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:42:42.063573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 054380ea-b557-42e2-b13c-378759b13ad7 · inbound
Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment cites this paper.
Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
Reference 109
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:57:21.576084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35b27615-e453-4523-b397-c89e3754d56b · inbound
Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields cites this paper.
Adaptive Time-step Training for Enhancing Spike-Based Neural Radiance Fields Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:15:55.725638Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26dc05de-ff80-4ef3-85f4-491577bcc1ec · inbound
Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks cites this paper.
Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:49:41.535420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2da6a6dc-6554-4570-a7e9-04d2f92acbe0 · inbound
Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks cites this paper.
Not All Timesteps Matter Equally: Selective Alignment Knowledge Distillation for Spiking Neural Networks Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T14:25:46.080950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.