Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TIM: An Efficient Temporal Interaction Module for Spiking Transformer
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.11687.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:44:44.112934Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T06:19:49.656428Z
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 f3a50ff6-b7da-4fdf-93d4-5421edf17214 · inbound
Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation cites this paper.
Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation TIM: An Efficient Temporal Interaction Module for Spiking Transformer
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:44:44.112934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76cad01a-bd2b-4463-88ca-1df093a89ed6 · inbound
TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers cites this paper.
TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers TIM: An Efficient Temporal Interaction Module for Spiking Transformer
Reference 2004
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:05:00.177494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad9cd05d-d87d-4cdb-8fd2-5cdd7ec608c1 · inbound
Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention cites this paper.
Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention TIM: An Efficient Temporal Interaction Module for Spiking Transformer
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T06:19:49.660088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.