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Paper Citation Record · LEDGER

Learnability Window in Gated Recurrent Neural Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2512.05790.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2512.05790 v10

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:43:28.232392Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T08:14:26.087590Z

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 1eb10114-caf6-4310-b96b-c25894357765 · inbound

Anti-Collapse Dynamics and the Emergence of Multi-Time-Scale Learning in Recurrent Neural Networks cites this paper.

Anti-Collapse Dynamics and the Emergence of Multi-Time-Scale Learning in Recurrent Neural Networks Learnability Window in Gated Recurrent Neural Networks

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-16T02:21:43.850162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T07:34:39.700429Z digest=sha256:6e55c817adabd2417029bc3c6e17faebf21f70d1e72e837d9b7d0b712bdea9c4

Observation 55bac317-e373-4d69-bd67-4675e1b5b7cd · inbound

Anti-Collapse Dynamics and the Emergence of Multi-Time-Scale Learning in Recurrent Neural Networks cites this paper.

Anti-Collapse Dynamics and the Emergence of Multi-Time-Scale Learning in Recurrent Neural Networks Learnability Window in Gated Recurrent Neural Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T09:43:28.232392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:43:28.232392Z digest=sha256:6532ea27a92fb0e8ea7d79c0b994c02bf02a42f1b49d910b67d4425f81b2a240