Paper Citation Record · LEDGER

An Introduction to Autoencoders

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2201.03898.

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

pith.paper-citation-record.v1
2201.03898 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:33.443841Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:36:55.432184Z

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 e1c60e79-32a4-4537-bd6b-d896b2d79c91 · inbound

AquaSignal: An Integrated Framework for Robust Underwater Acoustic Analysis cites this paper.

AquaSignal: An Integrated Framework for Robust Underwater Acoustic Analysis An Introduction to Autoencoders

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:33.443841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be352566-116f-499d-88b0-9a1a8276b35b · inbound

A Joint Reconstruction-Triplet Loss Autoencoder Approach Towards Unseen Attack Detection in IoV Networks cites this paper.

A Joint Reconstruction-Triplet Loss Autoencoder Approach Towards Unseen Attack Detection in IoV Networks An Introduction to Autoencoders

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:14.767436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a97c816-add2-4b7d-ab6e-3743fdaf0ac9 · inbound

Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality cites this paper.

Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality An Introduction to Autoencoders

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T10:58:02.413883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e79ae94e-6b9b-424c-84f5-7137dd79e60d · inbound

Searching for Quantum Effects in the Brain: A Bell-Type Test for Nonclassical Latent Representations in Autoencoders cites this paper.

Searching for Quantum Effects in the Brain: A Bell-Type Test for Nonclassical Latent Representations in Autoencoders An Introduction to Autoencoders

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T06:26:02.027558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3810f1cc-94c6-490c-b563-d21da34ede7c · inbound

Two-stage Convolutional Neural Network for pseudo six-dimensional phase space reconstruction cites this paper.

Two-stage Convolutional Neural Network for pseudo six-dimensional phase space reconstruction An Introduction to Autoencoders

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:11:20.192838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8525e006-5653-4250-ba3e-367be4f1173f · inbound

Polarized Target Nuclear Magnetic Resonance Measurements with Deep Neural Networks cites this paper.

Polarized Target Nuclear Magnetic Resonance Measurements with Deep Neural Networks An Introduction to Autoencoders

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:50:00.400460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51e45952-ebf5-4916-b751-eafdba6cc171 · inbound

Autoencoder-Based Parameter Estimation for Superposed Multi-Component Damped Sinusoidal Signals cites this paper.

Autoencoder-Based Parameter Estimation for Superposed Multi-Component Damped Sinusoidal Signals An Introduction to Autoencoders

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:13:01.604029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 44ae06a5-5d21-4313-806e-21051ab304f4 · inbound

Noise-Aware Visual Representation Learning for Medical Visual Question Answering cites this paper.

Noise-Aware Visual Representation Learning for Medical Visual Question Answering An Introduction to Autoencoders

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:36:55.433554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.