Paper Citation Record · LEDGER

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection

As of 13 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2509.01098.

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

pith.paper-citation-record.v1
2509.01098 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

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measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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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

43 of 43 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dae34295-ae13-455b-b073-ede568fbdaed · outbound

This paper cites Graph anomaly detection in time series: A survey,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Graph anomaly detection in time series: A survey,

Reference 1

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Observation 3ebe20e3-854d-4eab-9f5c-993e2452cfbd · outbound

This paper cites A survey on graph neu- ral networks for time series: Forecasting, classification, imputation, and anomaly detection,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection A survey on graph neu- ral networks for time series: Forecasting, classification, imputation, and anomaly detection,

Reference 2

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Observation 852f7c56-93fd-4811-89ab-428edbe97ce3 · outbound

This paper cites Self- supervised learning for time series analysis: Taxonomy, progress, and prospects,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Self- supervised learning for time series analysis: Taxonomy, progress, and prospects,

Reference 3

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Observation 065a41da-dca5-45ce-be30-492733a951a1 · outbound

This paper cites Online learning and se- quential anomaly detection in trajectories,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Online learning and se- quential anomaly detection in trajectories,

Reference 4

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Observation da95b5c1-b38b-454e-b74e-19722e92733f · outbound

This paper cites Insightful sim- plicity: Dissimilarity in time series anomaly detection,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Insightful sim- plicity: Dissimilarity in time series anomaly detection,

Reference 5

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Observation 91a485f3-a74d-4829-9a61-2b0e65833487 · outbound

This paper cites A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System

Reference 6

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Observation fbff359d-cec1-4222-8114-41cbc2dbb678 · outbound

This paper cites Patchad: A lightweight patch-based mlp-mixer for time series anomaly detection,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Patchad: A lightweight patch-based mlp-mixer for time series anomaly detection,

Reference 7

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Observation 374948c6-64d8-4aaf-84dc-427e424ed9c1 · outbound

This paper cites TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

Reference 8

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Observation 0aa60951-3178-4574-a961-7e697f7f232c · outbound

This paper cites Calibrated one-class classification for unsupervised time series anomaly detection,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Calibrated one-class classification for unsupervised time series anomaly detection,

Reference 9

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Observation 1356659b-e197-4a6d-9a29-c3cea913bfe1 · outbound

This paper cites Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection,

Reference 10

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Observation 6c9e0132-0e26-40ac-b784-48628788589b · outbound

This paper cites Time evidence fusion network: Multi-source view in long-term time series forecasting,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Time evidence fusion network: Multi-source view in long-term time series forecasting,

Reference 11

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Observation fa2653d0-e827-4ed7-a6a3-eec5aaabb751 · outbound

This paper cites Difformer: Multi-resolutional differencing transformer with dynamic ranging for time series analysis,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Difformer: Multi-resolutional differencing transformer with dynamic ranging for time series analysis,

Reference 12

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Observation 3f1f340c-73e7-4b4a-8f8f-9b7ffcdd7fd3 · outbound

This paper cites When model meets new normals: Test-time adaptation for unsupervised time- series anomaly detection,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection When model meets new normals: Test-time adaptation for unsupervised time- series anomaly detection,

Reference 13

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Observation 9d954d98-d33a-4530-82c5-a7c6187725d3 · outbound

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

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Current time series anomaly detection benchmarks are flawed and are creating the illusion of progress,

Reference 14

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Observation fe60bc8f-75d8-44d9-aceb-8e39b76febda · outbound

This paper cites Simad: A simple dissimilarity- based approach for time-series anomaly detection,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Simad: A simple dissimilarity- based approach for time-series anomaly detection,

Reference 15

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Observation 310f9c94-0d4f-4126-910e-7cc32b52a916 · outbound

This paper cites Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series,

Reference 16

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Observation d6cebb3d-ecde-41ef-ae6f-630377e786b5 · outbound

This paper cites Precision and recall for time series,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Precision and recall for time series,

Reference 17

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Observation ec444f86-d5f1-4d85-97cd-f249ecdbbe5d · outbound

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

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Unsupervised anomaly detection via variational auto-encoder for seasonal kpis in web applications,

Reference 18

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Observation 84475ca7-6199-459c-ab5b-d9ef665200b4 · outbound

This paper cites Timeseriesbench: An industrial-grade benchmark for time series anomaly de- tection models,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Timeseriesbench: An industrial-grade benchmark for time series anomaly de- tection models,

Reference 19

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Observation 8f70dbce-192a-4dfb-b372-f361d6b2cb55 · outbound

This paper cites Local evalu- ation of time series anomaly detection algorithms,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Local evalu- ation of time series anomaly detection algorithms,

Reference 20

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Observation e154329e-4b30-41b6-b6c5-47315c4fc50d · outbound

This paper cites V olume under the sur- face: a new accuracy evaluation measure for time-series anomaly detection,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection V olume under the sur- face: a new accuracy evaluation measure for time-series anomaly detection,

Reference 21

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Observation 53d1512b-da58-4b45-a804-eb1bb7d304e9 · outbound

This paper cites Pate: Proximity-aware time series anomaly evaluation,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Pate: Proximity-aware time series anomaly evaluation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.650047Z

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Observation 288f4c00-10ff-4e37-97d6-e075112010f2 · outbound

This paper cites Broad learning autoencoder with graph structure for data clustering,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Broad learning autoencoder with graph structure for data clustering,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.636537Z

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Observation d3b65b42-83b8-48b6-a46c-2510fdde67e1 · outbound

This paper cites Humanmod: A multi-rag collaborative llm for inclusive urban public healthcare services,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Humanmod: A multi-rag collaborative llm for inclusive urban public healthcare services,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.623118Z

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Observation 2c74ef1f-b20d-4ae2-ba5c-3d2a2de4d953 · outbound

This paper cites Towards efficient anomaly detection using memory broad learning system,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Towards efficient anomaly detection using memory broad learning system,

Reference 25

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Observation 78aba761-e3e9-49a5-a73a-953dc3d5c106 · outbound

This paper cites The elephant in the room: Towards a reliable time-series anomaly detection bench- mark,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection The elephant in the room: Towards a reliable time-series anomaly detection bench- mark,

Reference 26

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Observation 6c29a9d1-a286-4d6c-a88c-95c2c32ec228 · outbound

This paper cites PVLDB, vol.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection PVLDB, vol

Reference 27

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Observation 47841d59-abc1-4d74-a8df-1b7e02b305c7 · outbound

This paper cites Bayesian estimation of beta mixture models with variational inference,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Bayesian estimation of beta mixture models with variational inference,

Reference 28

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Observation da58a20a-ca53-4401-8422-a933e88f3fa0 · outbound

This paper cites Bayesian outlier detection in non-gaussian autoregressive time series,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Bayesian outlier detection in non-gaussian autoregressive time series,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.552503Z

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Observation af8f8817-6302-4436-9b1d-0429a388d238 · outbound

This paper cites Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.538218Z

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Observation c0604138-fae3-4136-a9ea-d037825c7b54 · outbound

This paper cites Landmark block-embedded aggregation autoencoder for anomaly detection,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Landmark block-embedded aggregation autoencoder for anomaly detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.523939Z

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Observation ebe78dfa-93f7-45cf-bc59-6df5ff56e889 · outbound

This paper cites The ucr time series archive,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection The ucr time series archive,

Reference 32

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Observation 29720f14-48bb-441a-9307-57c2fe8572fd · outbound

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

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Lof: identifying density-based local outliers,

Reference 33

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Observation ae9fc5ac-41d6-493a-b0e8-afc46a5c0bcd · outbound

This paper cites Isolation forest,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Isolation forest,

Reference 34

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Observation 51714f88-805c-487d-b221-8d631a954389 · outbound

This paper cites USAD: UnSupervised Anomaly Detection on Multivariate Time Series,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection USAD: UnSupervised Anomaly Detection on Multivariate Time Series,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.477250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2a19874d-916c-46c7-8dd5-7197f21554c1 · outbound

This paper cites Anomaly trans- former: Time series anomaly detection with association discrepancy,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Anomaly trans- former: Time series anomaly detection with association discrepancy,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.463486Z

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Observation b99e6ac5-9c6e-41ca-b251-48262fe00ec9 · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Timesnet: Temporal 2d-variation modeling for general time series analysis,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.449761Z

Source-reported events for the cited work

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Observation 1af9a141-f5df-4fc6-a3d9-2feac9ac9411 · outbound

This paper cites The proof and measurement of association between two things,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection The proof and measurement of association between two things,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.436031Z

Source-reported events for the cited work

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Observation df5ba1e0-6d98-4cb2-8ace-eb64127ccb65 · outbound

This paper cites A new measure of rank correlation,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection A new measure of rank correlation,

Reference 39

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Observation d3960c66-c0d8-4122-b782-8b6e0763e21b · outbound

This paper cites Ranking of classi- fication algorithms in terms of mean–standard deviation using a-topsis,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Ranking of classi- fication algorithms in terms of mean–standard deviation using a-topsis,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.410437Z

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Observation 0d339eab-b8ef-4d11-adc9-0cbac775363c · outbound

This paper cites Practical ap- proach to asynchronous multivariate time series anomaly detection and localization,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Practical ap- proach to asynchronous multivariate time series anomaly detection and localization,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.394966Z

Source-reported events for the cited work

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Observation e14e9814-c2c7-4ffd-a125-f66bb6d27f3c · outbound

This paper cites Detecting spacecraft anomalies us- ing lstms and nonparametric dynamic thresholding,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection Detecting spacecraft anomalies us- ing lstms and nonparametric dynamic thresholding,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.380434Z

Source-reported events for the cited work

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Observation a36db06d-5fdb-47c6-b2cb-6ce9861d889d · outbound

This paper cites A dataset to support research in the design of secure water treatment systems,.

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection A dataset to support research in the design of secure water treatment systems,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:01:20.366042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.