Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ReMamba: Equip Mamba with Effective Long-Sequence Modeling
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.15496.
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 2026-08-01T10:27:22.021947Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T17:38:02.871981Z
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 a5d719e9-637b-4c08-afbe-69b2968e412d · inbound
Safety, Security, and Cognitive Risks in State-Space Models: A Systematic Threat Analysis with Spectral, Stateful, and Capacity Attacks cites this paper.
Safety, Security, and Cognitive Risks in State-Space Models: A Systematic Threat Analysis with Spectral, Stateful, and Capacity Attacks ReMamba: Equip Mamba with Effective Long-Sequence Modeling
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:38:02.874296Z
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 233de138-d0a8-46c2-850c-ba0972aa8ca6 · inbound
User-Centric Modeling of Transactional Sequences with Explainable State Space Models cites this paper.
User-Centric Modeling of Transactional Sequences with Explainable State Space Models ReMamba: Equip Mamba with Effective Long-Sequence Modeling
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:27:22.021947Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.