Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bayesian Recurrent Neural Networks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1704.02798.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:43:42.699485Z
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 effae9fb-5aa7-4389-ac46-830b06226191 · inbound
Error-quantified Conformal Inference for Time Series cites this paper.
Error-quantified Conformal Inference for Time Series Bayesian Recurrent Neural Networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:43:42.699485Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-10T06:31:04.303077+00:00.