Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.15670.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:42:36.597160Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T06:32:27.394651Z
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 13bf7663-5e4f-4f0f-bd47-21c9833033a1 · inbound
Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions cites this paper.
Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:42:36.597160Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c51cef8-a425-4a3f-916b-12c61ae578e9 · inbound
BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron cites this paper.
BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T06:32:27.396839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cb5be0e7-c5d4-4d41-8ade-1b8be4f78fa3 · inbound
Temporal Poisoning: Clean-Label Backdoors via Event Redistribution in SNNs cites this paper.
Temporal Poisoning: Clean-Label Backdoors via Event Redistribution in SNNs Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T18:38:26.520349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.