Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1909.09586.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:22:12.925419Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T00:29:15.475658Z
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 be50d58a-199a-4085-ab3e-29eea99a25dc · inbound
Neural Inhibition Improves Dynamic Routing and Mixture of Experts cites this paper.
Neural Inhibition Improves Dynamic Routing and Mixture of Experts Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:22:12.925419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46d659e8-e482-49d9-ad21-f87fec51383b · inbound
Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios cites this paper.
Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T03:02:00.326088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 00b1f7ab-7a19-409b-b354-5fd33003e16f · inbound
Automating the Deep Space Network Data Systems; A Case Study in Adaptive Anomaly Detection through Agentic AI cites this paper.
Automating the Deep Space Network Data Systems; A Case Study in Adaptive Anomaly Detection through Agentic AI Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:39:44.514628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2276e95e-fcdf-4150-a243-2844f5e48126 · inbound
BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design cites this paper.
BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:06:02.970347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0f9a2907-7bd2-42eb-9abf-c3465fa2d155 · inbound
Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers cites this paper.
Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T21:35:05.255591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 17a0faea-024b-494f-a03f-9504adf60ad2 · inbound
Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token cites this paper.
Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T09:39:57.300985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 140efa1a-2bf9-44ec-9291-08aa751ff957 · inbound
Risk Averse Alert Prioritization for IDS Using Subnormal Gaussian Fuzzy Models cites this paper.
Risk Averse Alert Prioritization for IDS Using Subnormal Gaussian Fuzzy Models Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:13:44.489872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d9c2d4e2-5284-4e50-aea5-0eef98c18f2d · inbound
Urdu Katib Handwritten Dataset: A Historical Document Dataset for Offline Urdu Handwritten Text Recognition with CRNN-Based Baseline Evaluation cites this paper.
Urdu Katib Handwritten Dataset: A Historical Document Dataset for Offline Urdu Handwritten Text Recognition with CRNN-Based Baseline Evaluation Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:29:15.479210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.