Paper Citation Record · LEDGER

Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1912.05911.

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

pith.paper-citation-record.v1
1912.05911 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:34:12.722724Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

153
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 441c2d58-0a39-4922-b48e-94bf01d15d6b · inbound

Continual Low-Rank Scaled Dot-product Attention cites this paper.

Continual Low-Rank Scaled Dot-product Attention Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T22:44:38.334752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a77ed53-c09c-43d8-beb9-f5a647901964 · inbound

Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends cites this paper.

Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:01.780668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c629b5fc-7d7a-4025-9cdc-91ac68e4cc92 · inbound

Dance recalibration for dance coherency with recurrent convolution block cites this paper.

Dance recalibration for dance coherency with recurrent convolution block Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T16:19:06.370165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afe47c4f-ccb2-47e1-9e0a-aa53f7ef9182 · inbound

A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions cites this paper.

A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:55:15.091119Z

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 c4b21a29-990c-4ffa-b8c5-10e081985268 · inbound

IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method cites this paper.

IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:12.722724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4303ccef-db6e-4590-af0b-e2b3fea1ae17 · inbound

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions cites this paper.

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:34.433534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8dc418a-397a-4b97-8187-846707990751 · inbound

Evaluation of LLMs for mathematical problem solving cites this paper.

Evaluation of LLMs for mathematical problem solving Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 167

Resolution: unresolved; no resolver link, observed 2026-08-07T12:11:16.478746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4005e21-8205-4420-94f9-3d78666ac315 · inbound

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series cites this paper.

Continuous Wavelet Transform and Siamese Network-Based Anomaly Detection in Multi-variate Semiconductor Process Time Series Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:07.872080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b022f57-4425-4903-ac28-dbb279415dff · inbound

LogTinyLLM: Tiny Large Language Models Based Contextual Log Anomaly Detection cites this paper.

LogTinyLLM: Tiny Large Language Models Based Contextual Log Anomaly Detection Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:20:42.937876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb2c25d6-aed7-4794-9c6a-0f90a458b06f · inbound

Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion cites this paper.

Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T19:27:44.825862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fefb50d-e4a2-4ac7-8efb-3992ee22337f · inbound

Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios cites this paper.

Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:02:00.319467Z

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 cd0fa97d-6011-4adf-894c-875566e12930 · inbound

Towards Migrating Neural Network Implementations cites this paper.

Towards Migrating Neural Network Implementations Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-21T19:40:32.652142Z

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 eb8cf4c3-ac87-4522-8a61-829e4cebdb46 · inbound

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects cites this paper.

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 296

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:12:30.100931Z

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 28642c6e-51aa-4c3e-91d7-e9c31b1c05a8 · inbound

Hidden State Poisoning Attacks against Mamba-based Language Models cites this paper.

Hidden State Poisoning Attacks against Mamba-based Language Models Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:18:14.495790Z

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 de4d4503-f213-4cad-ad68-a9080310b451 · inbound

A Comprehensive Analysis of Accuracy and Robustness in Quantum Neural Networks cites this paper.

A Comprehensive Analysis of Accuracy and Robustness in Quantum Neural Networks Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:41:16.989336Z

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 0ff9c8ca-ba5b-4c65-a851-839fd5d19bb7 · inbound

MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMs cites this paper.

MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMs Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:09:44.612090Z

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 61abc392-be23-46a1-ad21-081dd2fe8f38 · inbound

21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables cites this paper.

21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 184

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T21:02:38.585263Z

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 9242596a-c1ed-4475-b778-41b60e62b03e · inbound

Efficient Synthetic Network Generation via Latent Embedding Reconstruction cites this paper.

Efficient Synthetic Network Generation via Latent Embedding Reconstruction Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:36:14.589633Z

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 3de44c2d-e8ad-4445-a636-f6bf59f13ae2 · inbound

A3C3: AI Algorithm and Accelerator Co-design, Co-search, and Co-generation cites this paper.

A3C3: AI Algorithm and Accelerator Co-design, Co-search, and Co-generation Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:59:37.581690Z

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.