Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Capacity and Trainability in Recurrent Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1611.09913.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T16:11:45.973770Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-22T14:01:38.048207Z
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 eb840a72-9483-4216-8dd7-133fe6a15caf · inbound
The impact of allocation strategies in subset learning on the expressive power of neural networks cites this paper.
The impact of allocation strategies in subset learning on the expressive power of neural networks Capacity and Trainability in Recurrent Neural Networks
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:11:45.973770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0be50909-0da6-4fc1-957f-d25db3e52cf6 · inbound
Extracting memorized pieces of (copyrighted) books from open-weight language models cites this paper.
Extracting memorized pieces of (copyrighted) books from open-weight language models Capacity and Trainability in Recurrent Neural Networks
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T14:01:38.050267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3f75717c-a833-4c63-af0f-d0f9faa7a6ee · inbound
How much do language models memorize? cites this paper.
How much do language models memorize? Capacity and Trainability in Recurrent Neural Networks
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:37.200499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.