Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.11461.
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 2026-08-07T12:47:16.521477Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T12:28:06.995990Z
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 2a77d1bf-a7af-4b75-b019-bdbb88e37ab5 · inbound
CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data cites this paper.
CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:47:16.521477Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1732ac80-c8ee-4b2d-8150-03c57b1290b4 · inbound
Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings cites this paper.
Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:20:22.604484Z
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.
Observation 52a80e9a-7a67-456b-ae6c-d0f250a4342c · inbound
Topological Neural Dynamics: A Neuron-wise Framework for Sequence Modeling cites this paper.
Topological Neural Dynamics: A Neuron-wise Framework for Sequence Modeling Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T10:54:36.554083Z
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.
Observation 2236030c-bb8c-4658-be94-1dff568da704 · inbound
Topological Neural Dynamics: A Neuron-wise Framework for Sequence Modeling cites this paper.
Topological Neural Dynamics: A Neuron-wise Framework for Sequence Modeling Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.097135Z
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.
Observation cc5e3d6d-e8a8-4bd2-b71f-4399cff18112 · inbound
Lightweight Safe Reinforcement Learning for End-to-End UAV Navigation cites this paper.
Lightweight Safe Reinforcement Learning for End-to-End UAV Navigation Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T12:28:06.998299Z
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.