Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rethinking Full Connectivity in Recurrent Neural Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1905.12340.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:29:03.582703Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-04T03:19:31.213073Z
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 002ba982-9c6a-47b3-a146-f35718f987b6 · inbound
Mastering Diverse Domains through World Models cites this paper.
Mastering Diverse Domains through World Models Rethinking Full Connectivity in Recurrent Neural Networks
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:08:22.461203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation af28f762-865a-4859-b634-71276eabe8a3 · inbound
W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling cites this paper.
W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling Rethinking Full Connectivity in Recurrent Neural Networks
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:29:03.582703Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f702c91-fd87-4a71-9c3f-649f9ecaf390 · inbound
Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning cites this paper.
Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning Rethinking Full Connectivity in Recurrent Neural Networks
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T03:19:31.214761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.