Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.14909.
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 2026-08-16T11:55:01.852755Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T20:59:35.082310Z
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 341daa51-d49d-4fc7-9bbe-e1a501c5cf96 · inbound
Efficient Spiking Point Mamba for Point Cloud Analysis cites this paper.
Efficient Spiking Point Mamba for Point Cloud Analysis SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:55:01.852755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd912a0e-2582-4f70-b77a-7a07114e1385 · inbound
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN cites this paper.
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:38:10.580342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9feeae1-1176-4f07-8ec8-4cfbb822f505 · inbound
ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network cites this paper.
ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T20:59:35.089423Z
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.