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Paper Citation Record · LEDGER

Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1701.05923.

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

pith.paper-citation-record.v1
1701.05923 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:49:16.921394Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T12:29:51.499326Z

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 95ab4073-48fc-41df-9198-450d14b1d759 · inbound

Time Series Foundation Models for Multivariate Financial Time Series Forecasting cites this paper.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T18:49:16.921394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:49:16.921394Z digest=sha256:a210feca935d5cb079f68632e67caa6c4109c29f261ea8c8e39dc2dd90c08c2c

Observation fa338a1a-89ff-4d38-a201-92d0e14ac1ca · inbound

Learning to Compute on Dirty Paper cites this paper.

Learning to Compute on Dirty Paper Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-04T12:29:51.500756Z

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.

source=pdf_text observed=2026-06-26T06:52:06.932905Z digest=sha256:7a619e17ff25462a310892e40d6897d0f1178aeeb62eb0ea96cea63aaaaebf01