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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2412.05498.

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

pith.paper-citation-record.v1
2412.05498 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:45:30.774829Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:01:19.276969Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:01:20.347430Z

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3783b503-731b-4e7e-b7e4-43c3329da23b · outbound

This paper cites Adap- tive memory broad learning system for unsupervised time series anomaly detection,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Adap- tive memory broad learning system for unsupervised time series anomaly detection,

Reference 1

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Observation 0605f172-362d-4242-95ba-d0b736fc405f · outbound

This paper cites Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Reference 2

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Observation d72c3efb-8c0a-4461-aba9-c8272e8a371e · outbound

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

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme

Reference 3

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Observation 8d3a0304-4a38-421f-b921-5f8314edcaaa · outbound

This paper cites Dcde- tector: Dual attention contrastive representation learning for time series anomaly detection,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Dcde- tector: Dual attention contrastive representation learning for time series anomaly detection,

Reference 4

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Source-reported events for the cited work

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Observation daa0c83b-3653-4ffd-aea3-17b652dd52fb · outbound

This paper cites Insightful simplicity: Dissimilarity in time series anomaly detection,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Insightful simplicity: Dissimilarity in time series anomaly detection,

Reference 5

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Observation 28412cb3-6563-484c-a1ef-13716bd05082 · outbound

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

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Simad: A simple dissimilarity-based approach for time series anomaly detection,

Reference 6

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Observation de8925a3-6d72-440d-a9f2-dff1fc61ba3b · outbound

This paper cites Zhong, Z.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Zhong, Z

Reference 7

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Observation 702bcaa1-2da0-4f39-a90c-353f484a202a · outbound

This paper cites PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection

Reference 8

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Observation 9711058b-e9cb-4d14-8c4b-dc242b4ccceb · outbound

This paper cites PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting

Reference 9

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Observation 3da0994b-798f-4ecf-b4b1-7ad90b74201e · outbound

This paper cites Are transform- ers effective for time series forecasting?.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Are transform- ers effective for time series forecasting?

Reference 10

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Observation 254794e6-4a6c-4115-b52f-c34922f91c31 · outbound

This paper cites Position: Quo vadis, unsupervised time series anomaly detection?.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Position: Quo vadis, unsupervised time series anomaly detection?

Reference 11

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Observation 4084bc34-b67d-409d-8028-a9221140c8f0 · outbound

This paper cites Estimating the support of a high- dimensional distribution,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Estimating the support of a high- dimensional distribution,

Reference 12

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Source-reported events for the cited work

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Observation c7241718-f47b-4558-9f4d-f4a6538199f3 · outbound

This paper cites Isolation forest,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Isolation forest,

Reference 13

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Observation 51690d18-fc25-4f30-aa94-75faf6fec736 · outbound

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

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Lof: identifying density-based local outliers,

Reference 14

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Observation 4b9f8837-cfe7-44ef-a346-a8c491041b15 · outbound

This paper cites Efficient algorithms for mining outliers from large data sets,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Efficient algorithms for mining outliers from large data sets,

Reference 15

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Observation f4581681-c4c9-45df-b329-106b3a24bbb4 · outbound

This paper cites Deep learning for anomaly detection in time-series data: Review, anal- ysis, and guidelines,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Deep learning for anomaly detection in time-series data: Review, anal- ysis, and guidelines,

Reference 16

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Source-reported events for the cited work

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Observation 0cb353fa-8d14-4433-943d-2f0ca4988534 · outbound

This paper cites Broad learning system: An effec- tive and efficient incremental learning system without the need for deep architecture,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Broad learning system: An effec- tive and efficient incremental learning system without the need for deep architecture,

Reference 17

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Observation 41bca212-1108-4293-bee8-1f02eff41117 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 18

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Observation c23b1a9a-d9ca-47a9-b27a-8cdd315afeed · outbound

This paper cites Learning to Embed Time Series Patches Independently.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Learning to Embed Time Series Patches Independently

Reference 19

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Observation fd443638-211b-43c7-bbe3-77a17d9a3d01 · outbound

This paper cites Sparse coding with an overcomplete basis set: A strategy employed by v1?.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Sparse coding with an overcomplete basis set: A strategy employed by v1?

Reference 20

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Observation c85a045e-58ec-4ade-b557-c11e9a9e1cca · outbound

This paper cites Re- search of broad learning system,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Re- search of broad learning system,

Reference 21

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Observation 7a892ece-98b3-4c97-832e-14d25434b830 · outbound

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

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Sensitivehue: Multivariate time series anomaly detection by enhancing the sensitivity to normal patterns,

Reference 22

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Observation 6c8cc6ce-efd7-4113-9570-73051aa5ca10 · outbound

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

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Detecting spacecraft anomalies us- ing lstms and nonparametric dynamic thresholding,

Reference 23

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Observation 00346680-43d0-49fb-824f-9a9accbe74e1 · outbound

This paper cites The soil moisture active passive (smap) mission,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System The soil moisture active passive (smap) mission,

Reference 24

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Observation e1d157f3-6ea8-4f77-998f-b052ff15ecb1 · outbound

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

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System A dataset to support research in the design of secure water treatment systems,

Reference 25

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Observation 42e17b54-cdb3-4c60-8da3-d365ce360945 · outbound

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

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Wadi: a water distribution testbed for research in the design of secure cyber physical systems,

Reference 26

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Observation fedf2c24-f00e-4e4c-a042-2d1000bad289 · outbound

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

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Practical ap- proach to asynchronous multivariate time series anomaly detection and localization,

Reference 27

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Observation a3c23557-3410-4fd1-b4e8-31c55a2eec0d · outbound

This paper cites Daemon: Unsupervised anomaly detection and interpretation for multivariate time series,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Daemon: Unsupervised anomaly detection and interpretation for multivariate time series,

Reference 28

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Observation 5de66a28-cd17-4afd-8845-120bec751df6 · outbound

This paper cites TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

Reference 29

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Observation bef9da80-ff37-40e6-8963-4feace0a9a0d · outbound

This paper cites Learning multi-pattern normal- ities in the frequency domain for efficient time series anomaly detection,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Learning multi-pattern normal- ities in the frequency domain for efficient time series anomaly detection,

Reference 30

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Source-reported events for the cited work

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This paper cites Temporal-frequency masked autoencoders for time se- ries anomaly detection,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Temporal-frequency masked autoencoders for time se- ries anomaly detection,

Reference 31

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This paper cites Ecod: Unsupervised outlier detection using empirical cumulative distribution functions,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Ecod: Unsupervised outlier detection using empirical cumulative distribution functions,

Reference 32

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This paper cites Deep one-class classification,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Deep one-class classification,

Reference 33

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This paper cites Usad: Unsupervised anomaly detection on multivariate time series,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Usad: Unsupervised anomaly detection on multivariate time series,

Reference 34

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Observation bbe9fcbd-3e87-4427-bf9d-be8d8fe44730 · outbound

This paper cites Fits: Modeling time series with 10k parameters,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Fits: Modeling time series with 10k parameters,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:45:31.049999Z

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.

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Observation 8f903e39-3a04-499e-946b-7a5e62193f19 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T20:45:30.757570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:45:30.757570Z digest=sha256:ffa7edc1cf7ecceac765e6fde02890f90f6d2f227bd661119fa1a255a8232c89

Observation c26f678a-57d7-49a6-8a2c-0568a560408c · outbound

This paper cites One fits all: Power general time series analysis by pretrained lm,.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System One fits all: Power general time series analysis by pretrained lm,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:45:31.036357Z

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.

source=pdf_text observed=2026-08-11T20:45:30.762370Z digest=sha256:7559245de4ed269be66454d81c59ef7901ddb619a76c444a0da7b4af369a14c8

Observation 6c42c06f-a356-4260-a0f2-59e929ded985 · outbound

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

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Calibrated one-class classification for unsupervised time series anomaly detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:45:31.022014Z

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.

source=pdf_text observed=2026-08-11T20:45:30.766426Z digest=sha256:8bf1575312553d006b7cc8d045d6355a973c08f1e1f1c87994b3de5cfab78231

Observation a5cd1db2-0963-4a42-8fe4-def82cd7b240 · outbound

This paper cites Long short term memory networks for anomaly detection in time series.

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System Long short term memory networks for anomaly detection in time series

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:45:31.007993Z

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.

source=pdf_text observed=2026-08-11T20:45:30.770525Z digest=sha256:64d548821f2c864e503faa6f0b1c9ac876364edc95843e48248f2312ef3555e3

Observation ecd2675c-b29d-4d2d-ac17-1b5e27a51ee3 · outbound

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

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System The elephant in the room: Towards a reliable time-series anomaly detection bench- mark,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:45:30.992595Z

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.

source=pdf_text observed=2026-08-11T20:45:30.774829Z digest=sha256:ae8d9df9671b1c68837c7fa1835ee91553b99ec8f3e1763d18c7bbaea3ac8522

Pith citing papers

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

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection cites this paper.

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

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:01:20.352159Z

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.

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