Paper Citation Record · LEDGER

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection

As of 11 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2502.05679.

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

pith.paper-citation-record.v1
2502.05679 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:27:52.177771Z

measured 25 of 25 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 2026-08-11T12:46:50.805050Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:46:51.657502Z

Reference resolution

24 of 24 outbound references displayed

verified exact2
verified fuzzy14
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43523b4b-8878-445c-9bf9-f7844fd7dee7 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T18:27:52.099166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f44c4cd1-dc89-4305-b7c4-17adc2a1554c · outbound

This paper cites The “echo state.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection The “echo state

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.664925Z

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 35640cff-bea5-4344-bbd5-ffc0a4d6df0d · outbound

This paper cites Federated reservoir computing neural networks,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Federated reservoir computing neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.654675Z

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 afa515c9-b400-4bcb-8a8d-1334c083f5a9 · outbound

This paper cites Decentralized incremental federated learning with echo state networks,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Decentralized incremental federated learning with echo state networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.644155Z

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 33492302-1959-44f6-810c-58ae5f5ed044 · outbound

This paper cites Decentralized federated learning for industrial iot with deep echo state networks,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Decentralized federated learning for industrial iot with deep echo state networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.633375Z

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 6439fd68-1b76-4f1e-8019-c02700f09673 · outbound

This paper cites Mahalanobis distance of reservoir states for online time-series anomaly detection,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Mahalanobis distance of reservoir states for online time-series anomaly detection,

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-08-08T18:27:52.116573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56aa250e-a804-4b55-b143-0e4bcfb03b55 · outbound

This paper cites Anomaly detection in time series: a comprehensive evaluation,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Anomaly detection in time series: a comprehensive evaluation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T18:27:52.120052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ced8772-6567-49a2-a502-c09d3e332289 · outbound

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

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.616755Z

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 022b35a9-563f-465b-a68d-335d006e0f44 · outbound

This paper cites Reservoir computing approaches to recurrent neural network training,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Reservoir computing approaches to recurrent neural network training,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.606351Z

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 998f386b-09da-4016-8242-f8a91df50602 · outbound

This paper cites Optimization and applications of echo state networks with leaky-integrator neurons,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Optimization and applications of echo state networks with leaky-integrator neurons,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T18:27:52.128775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b72e7332-72ff-4cad-970d-db6da1df4ac9 · outbound

This paper cites A survey on federated learning: The journey from centralized to distributed on-site learning and beyond,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection A survey on federated learning: The journey from centralized to distributed on-site learning and beyond,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.589678Z

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 4873668a-5979-4ab1-84cd-5ba87a974152 · outbound

This paper cites Federated learning for beginners: Types, simulation environments, and open challenges,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Federated learning for beginners: Types, simulation environments, and open challenges,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.579512Z

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 ff920be7-8c1d-41b4-92f6-0080704bdc08 · outbound

This paper cites Federated Optimization in Heterogeneous Networks.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Federated Optimization in Heterogeneous Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T18:27:52.139099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b178609-8325-43a6-8228-7297a8bf3330 · outbound

This paper cites SCAFFOLD: Stochastic Controlled Averaging for Federated Learning.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T18:27:52.142973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c131ed4-3aa7-4daa-8ece-d96fd802058e · outbound

This paper cites Model-contrastive federated learning,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Model-contrastive federated learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.569025Z

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 e2d1bbe9-c4e6-4ed1-b953-986b548b8d60 · outbound

This paper cites Fedtadbench: Federated time-series anomaly detection bench- mark,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Fedtadbench: Federated time-series anomaly detection bench- mark,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.559064Z

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 7b5ff0e6-f77f-47c6-9d4b-496a4971617e · outbound

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

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Robust anomaly detection for multivariate time series through stochastic recurrent neural network,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T18:27:52.153214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3ea75a1-287e-48c3-80b1-54ff69d9cf30 · outbound

This paper cites Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T18:27:52.157425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74672cbc-da46-4e88-9730-de5ac8e7ee12 · outbound

This paper cites Practical approach to asynchronous multivariate time series anomaly detection and localization,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Practical approach to asynchronous multivariate time series anomaly detection and localization,

Reference 19

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T18:27:52.478847Z

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 ec60a070-88a5-4868-b5d5-190000c1b51a · outbound

This paper cites V olume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection V olume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.549928Z

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 8a679f88-f644-4182-a56c-eba16021ca02 · outbound

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

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Pate: Proximity- aware time series anomaly evaluation,

Reference 21

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T18:27:52.441712Z

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 44134308-da74-420e-9550-051295681bd4 · outbound

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

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.540317Z

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 b27bc991-ff87-4310-a873-8dea61d65e16 · outbound

This paper cites Lstm-based encoder-decoder for multi-sensor anomaly de- tection,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Lstm-based encoder-decoder for multi-sensor anomaly de- tection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.530021Z

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 b3b2cefd-84fe-462e-9392-7092942881d6 · outbound

This paper cites Reconstructive reservoir computing for anomaly detection in time-series signals,.

Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection Reconstructive reservoir computing for anomaly detection in time-series signals,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T18:27:52.519474Z

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.

Pith citing papers

Observation c827d342-98ab-40c5-9469-1127408c4bf3 · inbound

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey cites this paper.

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection

Reference 201

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:46:51.663348Z

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.