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Paper Citation Record · LEDGER

Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1909.09586.

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

pith.paper-citation-record.v1
1909.09586 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:49:20.103639Z

measured 0 of 1 external citation measurements

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 deab2faf-83ff-4e99-914c-650bef3dfbdc · inbound

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models cites this paper.

Synergistic Effects of Knowledge Distillation and Structured Pruning for Self-Supervised Speech Models Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T17:49:20.103639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:49:20.103639Z digest=sha256:8b4932bfed79e866cf3897931c31d4764e111bbeb294e2916c1717e63ce349e0

Observation 11a951e1-b12e-4030-bc2a-37e2f1bc0b78 · inbound

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing cites this paper.

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T13:51:24.683505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:51:24.683505Z digest=sha256:1ffb9c9370066814ac07938e62197521d5fec42b42bc6f827ef831938c9e7b3b

Observation 67497aee-d82b-4604-aa00-ae2973f247d4 · inbound

Joint Flow And Feature Refinement Using Attention For Video Restoration cites this paper.

Joint Flow And Feature Refinement Using Attention For Video Restoration Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:15.663093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:15.663093Z digest=sha256:2608bdec3d21785ad4022394f396bbfd0bb0beb3a960d40a7ca04639f13dd8a4

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.

source=arxiv_source observed=2026-08-06T20:22:12.925419Z digest=sha256:0898fbc261500a93649aeb416eec181ee5d494fec8d9d4ad727b3e86767eacdc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T02:58:33.899093Z digest=sha256:702d516ce86b33674d650046ab3ed79e1006c71a23a3e038051816b5dcf81396

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.

source=pdf_text observed=2026-08-05T14:39:44.514628Z digest=sha256:65767278d6ade1435647d6a18de816cddf83a1a16a7c0bf753d01e4fd2ca44a3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:39:19.368035Z digest=sha256:5dd2619ef5ba3ab04d2440f02689de16e65d03ea45a572faba796ded8991bad8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T21:25:08.141052Z digest=sha256:58436185f50518fbc27b0fc1f373b38436c18e555ecd037fc645845838a2742d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T09:39:45.749564Z digest=sha256:e2cbe7f69b489c565fc723b17437dcab48778869089dd7d22b41e51ed3b50849

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T17:12:32.044425Z digest=sha256:6d8af9ee77e6210d144ac16bd424c52b66c939a54c4fb63914b68aa75b973577

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T21:13:53.642096Z digest=sha256:ade56b64e503145340519668876fcddf3189fd19a1af8e989e8717fa99681081