Paper Citation Record · LEDGER

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection

As of 7 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2606.28970.

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

pith.paper-citation-record.v1
2606.28970 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T09:36:44.053417Z

measured 14 of 14 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 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

14 of 14 outbound references displayed

verified exact5
verified fuzzy8
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b75aac0e-382c-4315-8a4c-9f89504da605 · outbound

This paper cites Outlier detection for high dimensional data.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Outlier detection for high dimensional data

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T18:36:27.969912Z

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 6dc4c50c-3fa8-4833-a6e4-a9e2ed7d34b9 · outbound

This paper cites Classification-Based Anomaly Detection for General Data.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Classification-Based Anomaly Detection for General Data

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.870816Z

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 9de82533-52d0-499f-92cd-c39b31ae0ebd · outbound

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

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Lof: identifying density- based local outliers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T18:36:27.968284Z

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 bcd8b27e-69a3-47ad-8a49-a6e3f727b222 · outbound

This paper cites Pyod 2: A python library for outlier detection with llm-powered model selection.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Pyod 2: A python library for outlier detection with llm-powered model selection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T18:36:27.963237Z

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 f4efa296-5386-4f06-834f-1b40710ed4c3 · outbound

This paper cites Histogram-based outlier score (hbos): A fast unsupervised anomaly detection algorithm.KI-2012: poster and demo track, 1:59–63,.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Histogram-based outlier score (hbos): A fast unsupervised anomaly detection algorithm.KI-2012: poster and demo track, 1:59–63,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T18:36:27.959811Z

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 6dd5166e-ff78-4b68-bc8f-e4e01a50ec27 · outbound

This paper cites Rca: A deep collaborative autoencoder approach for anomaly detection.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Rca: A deep collaborative autoencoder approach for anomaly detection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T18:36:27.961572Z

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 ec4396f5-e96c-4983-9979-e0982f642827 · outbound

This paper cites Kernel Mean Embedding of Distributions: A Review and Beyond.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Kernel Mean Embedding of Distributions: A Review and Beyond

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.876805Z

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 9272d2a9-18b3-497c-be28-3a2c7d55e696 · outbound

This paper cites Learning representations of ultrahigh- dimensional data for random distance-based outlier detection.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Learning representations of ultrahigh- dimensional data for random distance-based outlier detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T18:36:27.956071Z

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 18b4b83c-fe68-471b-8772-1bf67d8addbe · outbound

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

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Efficient algorithms for mining outliers from large data sets

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T18:36:27.966661Z

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 3fe561e1-cf14-422b-ba72-f7ba6b1dc4f5 · outbound

This paper cites On the Error of Random Fourier Features.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection On the Error of Random Fourier Features

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.874028Z

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 4ba1c57a-3488-439c-a754-cc637411ee85 · outbound

This paper cites Unsupervised Representation Learning by Predicting Random Distances.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Unsupervised Representation Learning by Predicting Random Distances

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.868059Z

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 e9650f04-1e3d-43ad-970b-9db99236e791 · outbound

This paper cites Deep isolation forest for anomaly detection.IEEE Transactions on Knowledge and Data Engineering, 35(12):12591–12604, 2023a.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Deep isolation forest for anomaly detection.IEEE Transactions on Knowledge and Data Engineering, 35(12):12591–12604, 2023a

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.058325Z

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 115d876f-8e22-4480-a6c0-5fdf145a8de4 · outbound

This paper cites RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T18:36:27.957828Z

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 eb295eaa-f3a3-42ee-94b4-7cc38003f9cd · outbound

This paper cites Positive differences favor RGLD.

RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection Positive differences favor RGLD

Reference 14

Resolution: malformed identifier; raw_fallback, observed 2026-07-09T18:36:27.965004Z

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

No inbound Pith citation observations are available.