Paper Citation Record · LEDGER

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining

As of 3 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2605.25639.

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

pith.paper-citation-record.v1
2605.25639 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:45:17.089952Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

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

16 of 16 outbound references displayed

verified exact3
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5fb5590-1d15-4521-a76d-45a2c03f4133 · outbound

This paper cites Graph neural network-based anomaly detection in multivariate time series,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining Graph neural network-based anomaly detection in multivariate time series,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dce9f8b-b29d-4c55-9923-6c0c9946cfe5 · outbound

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

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining Anomaly transformer: Time series anomaly detection with association discrepancy,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db2bc90a-39ce-43fd-91a0-483f6d7e0368 · outbound

This paper cites TranAD: Deep transformer networks for anomaly detection in multivariate time series data,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining TranAD: Deep transformer networks for anomaly detection in multivariate time series data,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df85fc1c-ee29-4cac-b2a9-a8aff404435b · outbound

This paper cites CATCH: Channel-aware multivariate time series anomaly detection via frequency patching,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining CATCH: Channel-aware multivariate time series anomaly detection via frequency patching,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efb0c837-58fb-4f61-a87c-577272b3552c · outbound

This paper cites xLSTMAD: A powerful xlstm-based method for anomaly detection,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining xLSTMAD: A powerful xlstm-based method for anomaly detection,

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:53:55.864969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a0d369fb-8d4f-4b88-8b91-9e310edb1d1a · outbound

This paper cites GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:53:55.868517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d3efbf94-3e60-44c0-b708-ee3ceadb081d · outbound

This paper cites an unresolved cited work.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13ac8bc8-ce01-4a19-a24b-06694f1f2c41 · outbound

This paper cites Isolation forest,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining Isolation forest,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cef01ad-1c55-4334-9c1c-2fca949c77c3 · outbound

This paper cites LOF: Identifying density-based local outliers,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining LOF: Identifying density-based local outliers,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beef3a17-afb0-43e2-a14b-2d73726bd748 · outbound

This paper cites UAV-SEAD: State estimation anomaly dataset for UAVs,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining UAV-SEAD: State estimation anomaly dataset for UAVs,

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:53:55.868241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c88b69bd-4bb0-49ef-b601-2576f12185f0 · outbound

This paper cites ALFA: A dataset for UAV fault and anomaly detection,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining ALFA: A dataset for UAV fault and anomaly detection,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14bd1b5f-2999-4795-8c04-0affc538ec1c · outbound

This paper cites LightGBM: A highly efficient gradient boosting decision tree,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining LightGBM: A highly efficient gradient boosting decision tree,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d554c487-9829-4252-90df-b12ac08d5921 · outbound

This paper cites LSTM-based encoder- decoder for multi-sensor anomaly detection,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining LSTM-based encoder- decoder for multi-sensor anomaly detection,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a29c997a-e80f-4aab-aa07-4ba4abac2dd4 · outbound

This paper cites Random forests,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining Random forests,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d51686-ee6f-4af0-94ac-866a19f24df2 · outbound

This paper cites Large-scale machine learning with stochastic gradient descent,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining Large-scale machine learning with stochastic gradient descent,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9341cbf9-d320-4235-bbdd-d0c8874b74c2 · outbound

This paper cites Scikit-learn: Machine learning in Python,.

AeroTSBoost: Temporal-Statistical Boosting for Real-World UAV Telemetry Anomaly Mining Scikit-learn: Machine learning in Python,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T19:45:17.089952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.