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Paper Citation Record · LEDGER

Hierarchically Gated Recurrent Neural Network for Sequence Modeling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.04823.

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

pith.paper-citation-record.v1
2311.04823 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:50:28.468423Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

25
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bff12573-1443-4af0-ab71-b4e8eb0b2674 · inbound

Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.

Gated Linear Attention Transformers with Hardware-Efficient Training Hierarchically Gated Recurrent Neural Network for Sequence Modeling

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:15:14.044238Z

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.

source=arxiv_source observed=2026-05-15T01:15:13.991219Z digest=sha256:36efd0a718e3e0908d71dee992a3644109b83c8a2ec446ef9ca0d7601b37f9bc

Observation 740fc869-5fff-48e2-91a7-e3313d19775d · inbound

Adaptive Memory Decay for Log-Linear Attention cites this paper.

Adaptive Memory Decay for Log-Linear Attention Hierarchically Gated Recurrent Neural Network for Sequence Modeling

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:50:56.360870Z

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.

source=arxiv_source observed=2026-05-11T01:02:56.848785Z digest=sha256:8b2a057dee8f7e64666b9263e60c519cd64e20f925f9dde1ef1606bacfa63a5f

Observation 00f96e30-70fc-4b25-a8eb-df042fe2bb3a · inbound

Naju: A Native Discrete State-Space Model with Independent Retention and Writing for Long-Sequence Memory cites this paper.

Naju: A Native Discrete State-Space Model with Independent Retention and Writing for Long-Sequence Memory Hierarchically Gated Recurrent Neural Network for Sequence Modeling

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T08:50:28.468423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:50:28.468423Z digest=sha256:e7cbd96d104843fd0740db3fb161de9b79a5dc0163690819cb7bfd9cd57ffb06