Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Resurgence of Recurrent Models for Long Sequences -- Survey and Research Opportunities in the Transformer Era
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.08132.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:44:21.493894Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:09:44.020147Z
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 eb37a580-f396-4202-8f4b-b6ced596f38d · inbound
Titans: Learning to Memorize at Test Time cites this paper.
Titans: Learning to Memorize at Test Time On the Resurgence of Recurrent Models for Long Sequences -- Survey and Research Opportunities in the Transformer Era
Reference 107
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:08:15.186911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 14ed0c6c-f08c-4870-bdc7-f84da380ce5e · inbound
ATLAS: Learning to Optimally Memorize the Context at Test Time cites this paper.
ATLAS: Learning to Optimally Memorize the Context at Test Time On the Resurgence of Recurrent Models for Long Sequences -- Survey and Research Opportunities in the Transformer Era
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:44:21.493894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 705fa50b-1692-4da7-b71e-827152689f2f · inbound
Tapered Language Models cites this paper.
Tapered Language Models On the Resurgence of Recurrent Models for Long Sequences -- Survey and Research Opportunities in the Transformer Era
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:09:44.021931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.