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Paper Citation Record · LEDGER

Bayesian Recurrent Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1704.02798.

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

pith.paper-citation-record.v1
1704.02798 v4

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:16:49.677529Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:54:07.852958Z

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 b9c790ae-2755-4202-b68d-a01558f7da8c · inbound

Bayesian Learning in Structural Dynamics: A Comprehensive Review and Emerging Trends cites this paper.

Bayesian Learning in Structural Dynamics: A Comprehensive Review and Emerging Trends Bayesian Recurrent Neural Networks

Reference 384

Resolution
unresolved
no resolver link, observed 2026-08-07T13:16:49.677529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:16:49.677529Z digest=sha256:5e1567ba4564f02b6fbdb7b3c0dc46f1717fe4508c6f5a3693fcbc534a8d4692

Observation 1820fc01-c5b8-4276-a908-d1fb2a45d151 · inbound

A Statistical Framework for Model Selection in LSTM Networks cites this paper.

A Statistical Framework for Model Selection in LSTM Networks Bayesian Recurrent Neural Networks

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:54:07.924467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T05:54:02.444409Z digest=sha256:42aab53909bad96bb54c520adc0622b6fca28783aafd04f88f8de993960bb54d