Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:1912.05911.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:46:01.780668Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
153
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 5a77ed53-c09c-43d8-beb9-f5a647901964 · inbound
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 13
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 Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 30
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 Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f8dc418a-397a-4b97-8187-846707990751 · inbound
Evaluation of LLMs for mathematical problem solving Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 167
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 Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 23
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 Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 13
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 Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 51
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 Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cd0fa97d-6011-4adf-894c-875566e12930 · inbound
Towards Migrating Neural Network Implementations Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation eb8cf4c3-ac87-4522-8a61-829e4cebdb46 · inbound
Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 296
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 28642c6e-51aa-4c3e-91d7-e9c31b1c05a8 · inbound
Hidden State Poisoning Attacks against Mamba-based Language Models Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation de4d4503-f213-4cad-ad68-a9080310b451 · inbound
A Comprehensive Analysis of Accuracy and Robustness in Quantum Neural Networks Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0ff9c8ca-ba5b-4c65-a851-839fd5d19bb7 · inbound
MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMs Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 61abc392-be23-46a1-ad21-081dd2fe8f38 · inbound
21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 184
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9242596a-c1ed-4475-b778-41b60e62b03e · inbound
Efficient Synthetic Network Generation via Latent Embedding Reconstruction Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3de44c2d-e8ad-4445-a636-f6bf59f13ae2 · inbound
A3C3: AI Algorithm and Accelerator Co-design, Co-search, and Co-generation Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.