Paper Citation Record · LEDGER

Anomaly Detection via Autoencoder Composite Features and NCE

As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2502.01920.

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

pith.paper-citation-record.v1
2502.01920 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:06:22.533578Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

20 of 20 outbound references displayed

verified exact1
verified fuzzy5
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 045fed8d-830c-4b1c-9ec8-2461e0f4efbc · outbound

This paper cites ntX i=1 zi − ˆµ(t) z T # ˆµ(t) z − ˆµ(t+1) z =.

Anomaly Detection via Autoencoder Composite Features and NCE ntX i=1 zi − ˆµ(t) z T # ˆµ(t) z − ˆµ(t+1) z =

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:06:22.716189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32d143f9-0400-43fd-b24a-8e0513eb8309 · outbound

This paper cites Autoencoder-based network anomaly detection.

Anomaly Detection via Autoencoder Composite Features and NCE Autoencoder-based network anomaly detection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:06:22.762939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec790fc2-05d2-40ef-8973-cf184fab2cfc · outbound

This paper cites Imagenet: A large-scale hier- archical image database.

Anomaly Detection via Autoencoder Composite Features and NCE Imagenet: A large-scale hier- archical image database

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:06:22.750353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b10e21d9-8b9b-4e4f-81a5-975b4d1aa1b6 · outbound

This paper cites A Survey on GANs for Anomaly Detection.

Anomaly Detection via Autoencoder Composite Features and NCE A Survey on GANs for Anomaly Detection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.472837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 768579ed-9e0d-40d8-b4c9-0151e41570c9 · outbound

This paper cites Unrolled Generative Adversarial Networks.

Anomaly Detection via Autoencoder Composite Features and NCE Unrolled Generative Adversarial Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.485398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4747ad12-1d27-4964-a4f9-587888bcbcbe · outbound

This paper cites MNIST-C: A Robustness Benchmark for Computer Vision.

Anomaly Detection via Autoencoder Composite Features and NCE MNIST-C: A Robustness Benchmark for Computer Vision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.489835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29bb8254-59c8-46ea-ba49-d5bf72562ae0 · outbound

This paper cites Deep Semi-Supervised Anomaly Detection.

Anomaly Detection via Autoencoder Composite Features and NCE Deep Semi-Supervised Anomaly Detection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.499173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 339979fe-5831-4921-8709-15d188c6f82a · outbound

This paper cites Anomaly detection using autoencoders with nonlinear dimen- sionality reduction.

Anomaly Detection via Autoencoder Composite Features and NCE Anomaly detection using autoencoders with nonlinear dimen- sionality reduction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:06:22.738819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19ef2390-7e36-49cb-86dc-8be983147561 · outbound

This paper cites Learning Deep Representations of Appearance and Motion for Anomalous Event Detection.

Anomaly Detection via Autoencoder Composite Features and NCE Learning Deep Representations of Appearance and Motion for Anomalous Event Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.520883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 128b6446-3b73-4d4c-a0f9-2650f49114cc · outbound

This paper cites Unsupervised anomaly detection via variational auto-encoder for seasonal kpis in web applications.

Anomaly Detection via Autoencoder Composite Features and NCE Unsupervised anomaly detection via variational auto-encoder for seasonal kpis in web applications

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:06:22.727588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5fcb0a23-0c07-43a0-ba87-b171c11e2762 · outbound

This paper cites Efficient GAN-Based Anomaly Detection.

Anomaly Detection via Autoencoder Composite Features and NCE Efficient GAN-Based Anomaly Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.529309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 966d2229-9c1a-4567-a54e-596b63aea420 · outbound

This paper cites Mode Regularized Generative Adversarial Networks.

Anomaly Detection via Autoencoder Composite Features and NCE Mode Regularized Generative Adversarial Networks

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.454983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e78363d8-6d91-45dd-bb4c-8c6c5e4046ae · outbound

This paper cites PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications.

Anomaly Detection via Autoencoder Composite Features and NCE PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.507918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 681d036c-3017-4198-a166-2486309a8d30 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Anomaly Detection via Autoencoder Composite Features and NCE Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.516888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c9c164e-b57f-4b81-b2ca-618cdb3bbea3 · outbound

This paper cites Classification-Based Anomaly Detection for General Data.

Anomaly Detection via Autoencoder Composite Features and NCE Classification-Based Anomaly Detection for General Data

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.449326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a204e82-7413-4431-b4f1-750e3f9e1fa5 · outbound

This paper cites Identifying and Categorizing Anomalies in Retinal Imaging Data.

Anomaly Detection via Autoencoder Composite Features and NCE Identifying and Categorizing Anomalies in Retinal Imaging Data

Reference 2017

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:06:22.600847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11b78c3d-c3d3-4e64-a40f-da1891914477 · outbound

This paper cites WAIC, but Why? Generative Ensembles for Robust Anomaly Detection.

Anomaly Detection via Autoencoder Composite Features and NCE WAIC, but Why? Generative Ensembles for Robust Anomaly Detection

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.464315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d24bb0a5-2fb3-419e-a04a-9b5864704b5c · outbound

This paper cites Do Deep Generative Models Know What They Don't Know?.

Anomaly Detection via Autoencoder Composite Features and NCE Do Deep Generative Models Know What They Don't Know?

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.494220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 530ad0a2-2b70-421c-8944-5dd81ddfb2eb · outbound

This paper cites Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections.

Anomaly Detection via Autoencoder Composite Features and NCE Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.481158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acbccc75-1031-43b7-b7cd-c1761bddca0c · outbound

This paper cites Auto-Encoding Variational Bayes.

Anomaly Detection via Autoencoder Composite Features and NCE Auto-Encoding Variational Bayes

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.477136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.