Paper Citation Record · LEDGER

Learning Stochastic Recurrent Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1411.7610.

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

pith.paper-citation-record.v1
1411.7610 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:39:01.535126Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

198
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a68d7476-8112-4abe-ae38-3b20e898fcc7 · inbound

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions cites this paper.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Learning Stochastic Recurrent Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T05:52:12.180631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acfab3cd-d4a3-441f-90cd-8ec560ee74e6 · inbound

Alternators With Noise Models cites this paper.

Alternators With Noise Models Learning Stochastic Recurrent Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:39:01.535126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a9351c9-6858-4a70-856e-126f85faddbe · inbound

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection cites this paper.

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection Learning Stochastic Recurrent Networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:47:07.803808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b066dbb9-67f7-477a-abda-f0c167b5124c · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation Learning Stochastic Recurrent Networks

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-18T19:01:46.349492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c43e27a4-ac5e-41a1-861f-e3b064eabadb · inbound

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation cites this paper.

Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation Learning Stochastic Recurrent Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T10:25:17.003915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a2e6011-ba4c-4b79-8bc2-d87868072d69 · inbound

Finite-Time Markov-Parameter Identification of LTI Systems Using Non-Causal FIR Models: A Unified Framework for Stable and Unstable Systems cites this paper.

Finite-Time Markov-Parameter Identification of LTI Systems Using Non-Causal FIR Models: A Unified Framework for Stable and Unstable Systems Learning Stochastic Recurrent Networks

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-30T13:34:40.295183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 481df119-7de4-4281-9990-69c4f930b05e · inbound

Bayesian updates from coalgebraic determinisation cites this paper.

Bayesian updates from coalgebraic determinisation Learning Stochastic Recurrent Networks

Reference 263

Resolution: verified exact; local_arxiv, observed 2026-07-02T21:27:23.895531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.