Paper Citation Record · LEDGER

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection

As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2508.00909.

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

pith.paper-citation-record.v1
2508.00909 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:19:43.654062Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T05:45:12.426589Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:28:38.829861Z

Reference resolution

40 of 40 outbound references displayed

verified exact4
verified fuzzy19
unresolved15
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d58349ef-1725-4426-a141-629bd21b1ab4 · outbound

This paper cites an unresolved cited work.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:19:44.795052Z

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 99d80b51-0e8d-4caa-9687-8c6025d349d0 · outbound

This paper cites Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.767662Z

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 75758140-fc06-41a6-9d10-cd394073fccf · outbound

This paper cites Anomaly detection for iot time- series data: A survey,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Anomaly detection for iot time- series data: A survey,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.381395Z

Source-reported events for the cited work

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Observation a6de7863-dda6-4c92-abcf-29ceb412bf73 · outbound

This paper cites Financial fraud: a review of anomaly detection techniques and recent advances,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Financial fraud: a review of anomaly detection techniques and recent advances,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.727764Z

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 c7f0f349-e269-472a-a948-aa71075df5b6 · outbound

This paper cites Learning representations from healthcare time series data for unsupervised anomaly detection,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Learning representations from healthcare time series data for unsupervised anomaly detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.701579Z

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 1fdc1aeb-4317-4ebb-b2fa-3f78f4234306 · outbound

This paper cites A review on self- supervised learning for time series anomaly detection: Recent advances and open challenges,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection A review on self- supervised learning for time series anomaly detection: Recent advances and open challenges,

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-06T12:19:44.020597Z

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 b4556824-b0a2-4e5e-b975-e499fc82c8ce · outbound

This paper cites Anomaly detection: A survey,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Anomaly detection: A survey,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.680463Z

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 3cb3ed94-74cc-4b41-bb88-9b34cef1afda · outbound

This paper cites Water leak detection using self-supervised time series classification,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Water leak detection using self-supervised time series classification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.651759Z

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 9018a8fa-00e7-4234-8d01-6654572a8ec2 · outbound

This paper cites Deep learning for time series anomaly detection: A survey,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Deep learning for time series anomaly detection: A survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.625213Z

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 c572214d-4bb7-4a0f-93b6-54ef5a8a2466 · outbound

This paper cites Self-supervised learning: Generative or contrastive,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Self-supervised learning: Generative or contrastive,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.597775Z

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 b16a5f26-635e-407b-963a-6cdf75918848 · outbound

This paper cites Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:19:43.884981Z

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 2974542c-204f-4958-bda9-8266eca90415 · outbound

This paper cites Autoencoders.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Autoencoders

Reference 12

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Source-reported events for the cited work

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Observation b6081d2a-4c79-48f9-a603-88ef80b47e62 · outbound

This paper cites Mad: Self-supervised masked anomaly detection task for multivariate time series,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Mad: Self-supervised masked anomaly detection task for multivariate time series,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.567094Z

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 1c667cd8-24c2-48c0-9744-b67b89c324dc · outbound

This paper cites DeepFIB: Self-Imputation for Time Series Anomaly Detection.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection DeepFIB: Self-Imputation for Time Series Anomaly Detection

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:19:43.828081Z

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 16326ad2-2a02-4e21-8a0c-13444625526c · outbound

This paper cites Anomaly detection using autoencoders with nonlinear dimensionality reduction,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Anomaly detection using autoencoders with nonlinear dimensionality reduction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.545745Z

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 587b7943-cce1-4ce0-ad30-798d1cd15c7e · outbound

This paper cites A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional lstm neural networks,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional lstm neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.519927Z

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 b262fd1a-84b0-49da-a6e1-8347c0e4410c · outbound

This paper cites Self-supervised anomaly detection via neural autore- gressive flows with active learning,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Self-supervised anomaly detection via neural autore- gressive flows with active learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.496813Z

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 bdcdf9d1-c7a1-4ba6-b949-b4f541356d5d · outbound

This paper cites Task-oriented self-supervised learning for anomaly detection in elec- troencephalography,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Task-oriented self-supervised learning for anomaly detection in elec- troencephalography,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.467930Z

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 66ea9a20-9143-4ae8-a5c9-8a73cbbd16d6 · outbound

This paper cites Neural transformation learning for deep anomaly detection beyond images,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Neural transformation learning for deep anomaly detection beyond images,

Reference 19

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Source-reported events for the cited work

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Observation 53a16588-bb94-4143-881a-dab7f7560841 · outbound

This paper cites A survey on contrastive self-supervised learning,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection A survey on contrastive self-supervised learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.506434Z

Source-reported events for the cited work

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Observation 6e991269-88f1-4a80-a728-3153abe4452c · outbound

This paper cites Harnessing Contrastive Learning and Neural Transformation for Time Series Anomaly Detection.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Harnessing Contrastive Learning and Neural Transformation for Time Series Anomaly Detection

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T12:19:43.801332Z

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 395364e5-cae2-4115-a26b-51fb109df79f · outbound

This paper cites Detecting Anomalies within Time Series using Local Neural Transformations.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Detecting Anomalies within Time Series using Local Neural Transformations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.518144Z

Source-reported events for the cited work

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Observation 49ff4cc8-d6f8-417a-bec5-bd48be293e9a · outbound

This paper cites Multi-task self-supervised visual learn- ing,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Multi-task self-supervised visual learn- ing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.408171Z

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 49c1428b-cee4-4e4b-9bff-4a29d034b14c · outbound

This paper cites Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:19:43.740588Z

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 1f0e370e-468c-4e77-bb4e-d9ba74cc726a · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection A simple framework for contrastive learning of visual representations,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.536037Z

Source-reported events for the cited work

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Observation 66200d1b-dc22-498d-b975-2bf4a30fa80e · outbound

This paper cites Deep contrastive one-class time series anomaly detection,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Deep contrastive one-class time series anomaly detection,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.541275Z

Source-reported events for the cited work

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Observation f4400402-f0a0-4ee3-8710-777ec79ab5ef · outbound

This paper cites Auxiliary Tasks in Multi-task Learning.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Auxiliary Tasks in Multi-task Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.550080Z

Source-reported events for the cited work

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Observation 9d68f77b-3306-426b-af9c-01ffbcf56782 · outbound

This paper cites The ucr time series archive,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection The ucr time series archive,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.320246Z

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 a2d6d29c-a574-424a-8dfd-be2983cc888a · outbound

This paper cites Support vector method for novelty detection,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Support vector method for novelty detection,

Reference 29

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Source-reported events for the cited work

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Observation ce89baae-39b1-4d17-88b7-60936e60bef1 · outbound

This paper cites Isolation forest,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Isolation forest,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.572200Z

Source-reported events for the cited work

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Observation 736b6a13-6ee2-449d-a307-0ecd4c72e610 · outbound

This paper cites Lof: identifying density-based local outliers,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Lof: identifying density-based local outliers,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.578395Z

Source-reported events for the cited work

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Observation 5270a209-8f72-4614-b58b-74ad27fe9190 · outbound

This paper cites Autoencoder-based network anomaly detection,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Autoencoder-based network anomaly detection,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.223116Z

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 866c0c85-0352-48f3-ab18-476c252215b4 · outbound

This paper cites Deep one-class classification,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Deep one-class classification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.193809Z

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 7501daa6-b835-4ca1-a96e-97ab3b11908b · outbound

This paper cites Deep autoencoding gaussian mixture model for unsupervised anomaly detection,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Deep autoencoding gaussian mixture model for unsupervised anomaly detection,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.599622Z

Source-reported events for the cited work

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Observation 9af097de-de96-4879-89cf-b06e4f2946c1 · outbound

This paper cites Effective end-to-end unsupervised outlier detection via inlier priority of discriminative network,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Effective end-to-end unsupervised outlier detection via inlier priority of discriminative network,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.145262Z

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 954e7736-1df8-4a32-bf89-e39e5ca2d583 · outbound

This paper cites Scikit-learn: Machine learning in python,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Scikit-learn: Machine learning in python,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.612738Z

Source-reported events for the cited work

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Observation 08ea05ed-a168-4781-8f07-173b0e3404ee · outbound

This paper cites Ts2vec: Towards universal representation of time series,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Ts2vec: Towards universal representation of time series,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.109856Z

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 78a8fb38-1bc0-4530-a981-61e1d344c7a7 · outbound

This paper cites Effi- 11 cient time series anomaly detection by multiresolution self-supervised discriminative network,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Effi- 11 cient time series anomaly detection by multiresolution self-supervised discriminative network,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:19:44.087394Z

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 ffbf8dfd-7ae6-46e4-a15b-e25c8ffcd7d9 · outbound

This paper cites Visualizing data using t-sne.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection Visualizing data using t-sne

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T12:19:43.644608Z

Source-reported events for the cited work

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Observation 0e8371dd-a274-4a30-be34-d388ba737917 · outbound

This paper cites On hyperparameter tuning in general clustering problemsm,.

NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection On hyperparameter tuning in general clustering problemsm,

Reference 40

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T12:19:44.041452Z

Source-reported events for the cited work

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Pith citing papers

Observation bc32567a-7246-4a9a-b000-931f81e5b397 · inbound

ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization cites this paper.

ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-23T01:24:16.386453Z

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.