Paper Citation Record · LEDGER

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems

As of 7 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 1 inbound Pith citation observation for arXiv:2506.05138.

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

pith.paper-citation-record.v1
2506.05138 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:00.935595Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:52:15.128493Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

verified exact2
verified fuzzy2
unresolved4
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fea17814-c62f-43b6-95a0-90714d97a86e · outbound

This paper cites https://www.project -tardis.eu/, 2023 (accessed 1 February 2024).

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems https://www.project -tardis.eu/, 2023 (accessed 1 February 2024)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:01.361944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ea358d8-4bd6-4f1d-bfcd-9cf3d98288f2 · outbound

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

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:28:01.350874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dbe6267c-9c9a-4498-aedf-359005543ce0 · outbound

This paper cites Popovic, M.

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems Popovic, M

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:00.905447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2483f736-b093-42d3-9e73-3602767a92f1 · outbound

This paper cites MicroPython Testbed for Federated Learning Algorithms,.

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems MicroPython Testbed for Federated Learning Algorithms,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:00.908862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 344680a4-a63e-4bcd-ac07-d07cd386fe55 · outbound

This paper cites Prokić, S.

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems Prokić, S

Reference 5

Resolution: malformed identifier; doi_truncated, observed 2026-08-07T10:28:01.007059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ef47a11-7cfb-41ab-8b79-e19353ee60c6 · outbound

This paper cites Popovic, M.

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems Popovic, M

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-08-07T10:28:00.916940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a094adcc-d299-416f-a8d6-1d229972d7c4 · outbound

This paper cites Isolation Forest,.

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems Isolation Forest,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:00.920675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d44b073-155d-4993-a235-bb1068e1c560 · outbound

This paper cites Leveraging an Isolation Forest to Anomaly Detection and Data Clustering,.

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems Leveraging an Isolation Forest to Anomaly Detection and Data Clustering,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:00.924098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c076cfec-d2da-421c-bba2-c2f734c5a1ce · outbound

This paper cites Layered isolation forest: A multi-level subspace algorithm for improving isolation forest,.

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems Layered isolation forest: A multi-level subspace algorithm for improving isolation forest,

Reference 9

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T10:28:01.092854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8bd0def-a31f-48ac-95c7-60273fcc68ff · outbound

This paper cites Federated anomaly detection with Isolation Forest in the IoT network,.

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems Federated anomaly detection with Isolation Forest in the IoT network,

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T10:28:00.979154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f675554-6364-4d28-a700-dc18053de0ae · outbound

This paper cites an unresolved cited work.

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T10:28:00.966715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation d9e66fb7-5e50-4e4c-a225-2aa57d019e70 · inbound

EcoDefender: Energy-Efficient Hybrid Anomaly Detection for IoT Edge Gateways cites this paper.

EcoDefender: Energy-Efficient Hybrid Anomaly Detection for IoT Edge Gateways Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T20:52:15.128493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.