Paper Citation Record · LEDGER

Restricted Recurrent Neural Networks

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1908.07724.

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

pith.paper-citation-record.v1
1908.07724 v4

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:16:38.349246Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact2
verified fuzzy11
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0eacded8-335f-4ce3-906e-dc67e11f47ba · outbound

This paper cites Long short-term memory,.

Restricted Recurrent Neural Networks Long short-term memory,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.202971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa94534-679f-4203-b510-99cd85f3caa5 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Restricted Recurrent Neural Networks Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.208782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e7b6078-1c61-4ccb-bfb1-3fc7fc2a941d · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Restricted Recurrent Neural Networks Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.214316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2685695-f2f6-4f3e-b90e-5735259eac0e · outbound

This paper cites Learning structured sparsity in deep neural networks,.

Restricted Recurrent Neural Networks Learning structured sparsity in deep neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.840795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 381989c4-de2e-4ab5-9c19-b171a3b54e97 · outbound

This paper cites A Survey of Model Compression and Acceleration for Deep Neural Networks.

Restricted Recurrent Neural Networks A Survey of Model Compression and Acceleration for Deep Neural Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.226316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ee5b04-ce73-49a3-a965-d32af7d24b46 · outbound

This paper cites On the compression of recurrent neural networks with an application to lvcsr acoustic modeling for embedded speech recognition,.

Restricted Recurrent Neural Networks On the compression of recurrent neural networks with an application to lvcsr acoustic modeling for embedded speech recognition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.822143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b9eb5a10-11d7-4eb1-842b-2739d03fad2f · outbound

This paper cites Learning compact recurrent neural networks,.

Restricted Recurrent Neural Networks Learning compact recurrent neural networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.804025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 29924495-a945-4075-8b0a-a3cd87092ec0 · outbound

This paper cites Compressing recurrent neural network with tensor train,.

Restricted Recurrent Neural Networks Compressing recurrent neural network with tensor train,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.786523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e0802646-8e88-4488-b95a-2a5737d434d4 · outbound

This paper cites Compression of recurrent neural networks for efﬁcient language modeling,.

Restricted Recurrent Neural Networks Compression of recurrent neural networks for efﬁcient language modeling,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.768383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d127b940-e080-4e64-99e5-88a628dc6c8f · outbound

This paper cites Dropout: a simple way to prevent neural networks from over- ﬁtting,.

Restricted Recurrent Neural Networks Dropout: a simple way to prevent neural networks from over- ﬁtting,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.253753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47166e70-c34d-4bd8-b8f9-e76236f777e8 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Restricted Recurrent Neural Networks MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.259128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db50fac-c361-423d-917c-c55c3f36e8d5 · outbound

This paper cites Shufﬂenet: An extremely efﬁ- cient convolutional neural network for mobile devices,.

Restricted Recurrent Neural Networks Shufﬂenet: An extremely efﬁ- cient convolutional neural network for mobile devices,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.739448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dc7d710e-41b1-41b8-8015-710cc1d7a676 · outbound

This paper cites Con- densenet: An efﬁcient densenet using learned group convolutions,.

Restricted Recurrent Neural Networks Con- densenet: An efﬁcient densenet using learned group convolutions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.720031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 80d63c87-40bd-4483-8412-df6d252dc7d5 · outbound

This paper cites Long short-term memory recurrent neural network architectures for large scale acoustic modeling,.

Restricted Recurrent Neural Networks Long short-term memory recurrent neural network architectures for large scale acoustic modeling,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.275182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c4451f-29e9-4c4c-af14-641953fbeb22 · outbound

This paper cites Recurrent Neural Network Regularization.

Restricted Recurrent Neural Networks Recurrent Neural Network Regularization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.280401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a2b110c-711e-42a1-a2f7-98d375781559 · outbound

This paper cites An empirical exploration of recurrent network architectures,.

Restricted Recurrent Neural Networks An empirical exploration of recurrent network architectures,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.690008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3698deca-6c79-4f05-b9b3-af1fe284b4a0 · outbound

This paper cites Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks.

Restricted Recurrent Neural Networks Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.293729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0148501b-b588-4e28-be55-e24e7828dfff · outbound

This paper cites Lstm: A search space odyssey,.

Restricted Recurrent Neural Networks Lstm: A search space odyssey,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.673038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 04daa97c-3342-492f-857b-4ac12f15d7da · outbound

This paper cites Performance of Three Slim Variants of The Long Short-Term Memory (LSTM) Layer.

Restricted Recurrent Neural Networks Performance of Three Slim Variants of The Long Short-Term Memory (LSTM) Layer

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:16:38.513446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ef7e3fd2-d49a-4a89-8973-a39d34b221d9 · outbound

This paper cites Bayesian Compression for Natural Language Processing.

Restricted Recurrent Neural Networks Bayesian Compression for Natural Language Processing

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:16:38.487943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 518a9ac0-e97f-434e-ac07-efe8a438c1e0 · outbound

This paper cites Context dependent recurrent neural network language model,.

Restricted Recurrent Neural Networks Context dependent recurrent neural network language model,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.653887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cb28a7ce-8c52-4986-9f75-a4fd28778f57 · outbound

This paper cites Regularizing and Optimizing LSTM Language Models.

Restricted Recurrent Neural Networks Regularizing and Optimizing LSTM Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.321501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac29bca7-6987-4884-94d9-c90b15de7a22 · outbound

This paper cites Recurrent neural network based language model,.

Restricted Recurrent Neural Networks Recurrent neural network based language model,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:16:38.637104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8c76bcb9-59a2-4201-81e1-baf9d48336aa · outbound

This paper cites Pointer Sentinel Mixture Models.

Restricted Recurrent Neural Networks Pointer Sentinel Mixture Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.332171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4823cfd3-4f6e-4751-8efe-c4806139dd40 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Restricted Recurrent Neural Networks SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.337756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db7f295b-75cf-486e-8f5f-6a148cb710df · outbound

This paper cites Using the Output Embedding to Improve Language Models.

Restricted Recurrent Neural Networks Using the Output Embedding to Improve Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.344056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 344e73f1-71f9-4b6e-83e0-ba4dcfc7379b · outbound

This paper cites Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling.

Restricted Recurrent Neural Networks Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T12:16:38.349246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.