CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments | Paper Citation Record

Observation 42d66948-30c6-4b26-beac-2212c249472e · outbound

This paper cites LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Reference 1

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Observation f626623f-6fe9-4da3-811f-5026544d020a · outbound

This paper cites Deep one-class classification,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Deep one-class classification,

Reference 2

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Observation a738dd35-8bb5-44cc-99cf-44438a252eca · outbound

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

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Deep contrastive one-class time series anomaly detection,

Reference 3

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Observation 68f9ef5a-44f2-428c-8c8b-2b57f247a43b · outbound

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

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Deep autoencoding one-class time series anomaly detection,

Reference 4

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Observation 2bdf6d34-deb0-44c6-8b22-834091910497 · outbound

This paper cites RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data

Reference 5

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Observation 642b6518-98e9-460d-a81c-82a9450a197a · outbound

This paper cites Deep anomaly detec- tion with outlier exposure,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Deep anomaly detec- tion with outlier exposure,

Reference 6

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9be41735-de13-450d-a076-9e489bb8bb77 · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly detection and localization,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Cutpaste: Self-supervised learning for anomaly detection and localization,

Reference 7

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Observation d38c6a36-1c3c-477c-b688-dc0cb381f5ec · outbound

This paper cites Deep Semi-Supervised Anomaly Detection.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Deep Semi-Supervised Anomaly Detection

Reference 8

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Observation 46ada269-59d2-4eff-8a8e-0674b93ab553 · outbound

This paper cites Neural contextual anomaly detection for time series,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Neural contextual anomaly detection for time series,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0db1f24e-3329-4619-90ac-d4d0e5768b46 · outbound

This paper cites AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme

Reference 10

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Observation 42bf9646-ff11-49f6-ac97-9bb741a4e741 · outbound

This paper cites Revisiting time series outlier detection: Definitions and benchmarks,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Revisiting time series outlier detection: Definitions and benchmarks,

Reference 11

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Observation 8f2b77b5-2e84-4417-bffd-5e9b2f6fc82a · outbound

This paper cites Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.574057Z

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Observation 6313dc5d-7ec5-4baa-b693-46d019ebe263 · outbound

This paper cites Cutaddpaste: Time series anomaly detection by exploiting abnormal knowledge,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Cutaddpaste: Time series anomaly detection by exploiting abnormal knowledge,

Reference 13

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Observation 0b1d487e-0297-4ae2-91fe-43ec0040a567 · outbound

This paper cites Deep learning for anomaly detection: A review,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Deep learning for anomaly detection: A review,

Reference 14

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Observation db4b8e3e-647c-46ba-a76f-24eaddce6d79 · outbound

This paper cites Unsupervised anomaly detection with generative adversarial networks to guide marker discovery,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Unsupervised anomaly detection with generative adversarial networks to guide marker discovery,

Reference 15

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Observation 287a5f6c-6334-4570-8235-acd0811042dd · outbound

This paper cites Gan-based anomaly detection: A review,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Gan-based anomaly detection: A review,

Reference 16

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Observation d1cfd72b-841e-48bf-8cca-f71ee5a99976 · outbound

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

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Deep autoencoding gaussian mixture model for unsupervised anomaly detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.503781Z

Source-reported events for the cited work

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Observation e4f0e277-9163-4a61-964d-a3776a11de37 · outbound

This paper cites Learning and evaluating representations for deep one-class classification,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Learning and evaluating representations for deep one-class classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.489184Z

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Observation 996ee4ad-e8ca-4eb5-9363-703d3dca51fe · outbound

This paper cites Genias: Generator for instantiating anomalies in time series,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Genias: Generator for instantiating anomalies in time series,

Reference 19

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Observation fdb52951-b627-4697-b3e6-b5bae1ca91df · outbound

This paper cites Robust and explainable detector of time series anomaly via augmenting multiclass pseudo- anomalies,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Robust and explainable detector of time series anomaly via augmenting multiclass pseudo- anomalies,

Reference 20

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Observation 3df970fe-de84-440c-bc49-1e9114d9d847 · outbound

This paper cites Rethinking Assumptions in Deep Anomaly Detection.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Rethinking Assumptions in Deep Anomaly Detection

Reference 21

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Observation 56cf560e-d3ca-421a-ac12-bc44b0a9df79 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments mixup: Beyond Empirical Risk Minimization

Reference 22

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Observation dc8c888e-bfd5-4efa-bfe8-68926f6e0694 · outbound

This paper cites Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,

Reference 23

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Observation 660444e6-9c79-4895-8053-186c7248e0af · outbound

This paper cites Snapmix: Semantically proportional mixing for augmenting fine-grained data,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Snapmix: Semantically proportional mixing for augmenting fine-grained data,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.450947Z

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Observation 4da28050-ccc0-4718-b8da-7fdb2bd454d1 · outbound

This paper cites Smoothmix: Training confidence-calibrated smoothed classifiers for certified robustness,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Smoothmix: Training confidence-calibrated smoothed classifiers for certified robustness,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.436944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a63dd7b-57bf-49c8-a2ba-c7c6f3c6a1ce · outbound

This paper cites Manifold mixup: Better representations by interpolating hidden states,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Manifold mixup: Better representations by interpolating hidden states,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.422915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a6007f4-ea9a-4ef0-a199-3f729b0441ad · outbound

This paper cites Finding order in chaos: A novel data augmentation method for time series in contrastive learning,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Finding order in chaos: A novel data augmentation method for time series in contrastive learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.407763Z

Source-reported events for the cited work

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Observation 778b6d2a-2871-4dfa-abd9-f3624dcf95ad · outbound

This paper cites TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis

Reference 28

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Observation 63b44aa5-0685-466a-b240-c77a43241d51 · outbound

This paper cites Current time series anomaly detection bench- marks are flawed and are creating the illusion of progress,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Current time series anomaly detection bench- marks are flawed and are creating the illusion of progress,

Reference 29

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d5442ba-2538-401c-8457-46ec00fd4849 · outbound

This paper cites Evaluating real-time anomaly detection algorithms–the numenta anomaly benchmark,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Evaluating real-time anomaly detection algorithms–the numenta anomaly benchmark,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 535f180b-8871-46a4-9215-c55d321108d4 · outbound

This paper cites S5 - a labeled anomaly detection dataset, version 1.0 (16m),.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments S5 - a labeled anomaly detection dataset, version 1.0 (16m),

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.362969Z

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Observation 080e85c0-6470-4e11-92a3-fde14a85145c · outbound

This paper cites Robust anomaly detection for multivariate time series through stochastic recurrent neural network,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Robust anomaly detection for multivariate time series through stochastic recurrent neural network,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e22b41c9-270e-471a-8c73-7b519fba700f · outbound

This paper cites The 1st match for aiops,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments The 1st match for aiops,

Reference 33

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Observation 61bb3ec3-4a88-4a3e-b367-58e6d032b68e · outbound

This paper cites Swat: A water treatment testbed for research and training on ics security,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Swat: A water treatment testbed for research and training on ics security,

Reference 34

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Observation 086c9c56-8793-445f-bd9e-6753b0b45232 · outbound

This paper cites Wadi: a water distribution testbed for research in the design of secure cyber physical systems,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Wadi: a water distribution testbed for research in the design of secure cyber physical systems,

Reference 35

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Source-reported events for the cited work

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Observation b260b234-7fea-4f87-9ee2-ba8530229b6b · outbound

This paper cites European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T23:42:41.807316Z

Source-reported events for the cited work

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Observation 128e3afe-00b6-4ecf-b1fb-daa1d91d5280 · outbound

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

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Unsupervised anomaly detection via variational auto- encoder for seasonal kpis in web applications,

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 908f3d8e-b0fd-44d7-88b2-c333ce7388c5 · outbound

This paper cites Towards a rigorous evaluation of time-series anomaly detection,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Towards a rigorous evaluation of time-series anomaly detection,

Reference 38

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 933fcd9e-822b-427b-a9cc-bf6d84f0fce1 · outbound

This paper cites Local evaluation of time series anomaly detection algorithms,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Local evaluation of time series anomaly detection algorithms,

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 286c5688-d7f7-4599-bf03-4db7339d9a29 · outbound

This paper cites Support vector method for novelty detection.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Support vector method for novelty detection

Reference 40

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c03d91c-dc6f-4025-b52b-1f3270c9f1e1 · outbound

This paper cites Isolation-based anomaly detection,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Isolation-based anomaly detection,

Reference 41

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Source-reported events for the cited work

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Observation 010a90f4-eb21-4445-995f-bd7df21c94b6 · outbound

This paper cites Robust random cut forest based anomaly detection on streams,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Robust random cut forest based anomaly detection on streams,

Reference 42

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Observation c52fbfb3-dd2b-445a-8eba-bce784589db4 · outbound

This paper cites Time-series anomaly detection service at microsoft,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Time-series anomaly detection service at microsoft,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.219179Z

Source-reported events for the cited work

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Observation 6d709677-7ab8-446b-a357-879c2c99221b · outbound

This paper cites Matrix profile xxiv: scaling time series anomaly detection to trillions of datapoints and ultra-fast arriving data streams,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Matrix profile xxiv: scaling time series anomaly detection to trillions of datapoints and ultra-fast arriving data streams,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.203639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d600aa8b-f3ce-4776-b538-3c0b052460c8 · outbound

This paper cites Time-series representation learning via temporal and contextual con- trasting,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Time-series representation learning via temporal and contextual con- trasting,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.186834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76a771b3-634d-4c9c-8478-3dd4411b9880 · outbound

This paper cites Anomaly transformer: Time series anomaly detection with association discrepancy,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Anomaly transformer: Time series anomaly detection with association discrepancy,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.172258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1561c1be-527a-4ebb-b7af-1a3d609d7555 · outbound

This paper cites Mixmamba: Time series modeling with adaptive expertise,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Mixmamba: Time series modeling with adaptive expertise,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.157545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ac0db97-b850-4d28-8bf3-e80f2964e8df · outbound

This paper cites Beyond sharing: Conflict-aware multivariate time series anomaly detection,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Beyond sharing: Conflict-aware multivariate time series anomaly detection,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.141891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6ebec6e-6d59-4087-b8b0-6b4841b9b0a3 · outbound

This paper cites Sensitivehue: Multivariate time series anomaly detection by enhancing the sensitivity to normal patterns,.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Sensitivehue: Multivariate time series anomaly detection by enhancing the sensitivity to normal patterns,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:42:43.127009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3a89861-60e0-4636-ba5d-8a9ed74d3933 · outbound

This paper cites Merlion: A Machine Learning Library for Time Series.

CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments Merlion: A Machine Learning Library for Time Series

Reference 50

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Source-reported events for the cited work

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