Paper Citation Record · LEDGER

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection

As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2605.26135.

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

pith.paper-citation-record.v1
2605.26135 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T17:01:25.050566Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

21 of 21 outbound references displayed

verified exact2
verified fuzzy19
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd29dc57-662d-41d9-b77a-bfbf8df3fa24 · outbound

This paper cites Anomaly detection: A survey.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Anomaly detection: A survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.318191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fad0c031-e1d0-4c27-8dab-469705d8cc0f · outbound

This paper cites Fraud Dataset Benchmark and Applications.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Fraud Dataset Benchmark and Applications

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:04:56.579985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 892558e1-1c88-4817-84eb-d347c9766636 · outbound

This paper cites Isolation forest,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Isolation forest,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.320944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee75d8c7-e8dd-49fc-8be3-830877fa6fb0 · outbound

This paper cites Isolation-based anomaly detection,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Isolation-based anomaly detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.305645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b103d37c-f01a-49ad-ac3b-cff49f2a7f12 · outbound

This paper cites Silhouettes: A graphical aid to the interpretation and validation of cluster analysis.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Silhouettes: A graphical aid to the interpretation and validation of cluster analysis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.309639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a29d176e-0f9c-4213-9d5d-f3fa8bbc9e11 · outbound

This paper cites IEEE- CIS fraud detection,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection IEEE- CIS fraud detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.312543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c244f328-b7d7-40ce-9654-ba487def6257 · outbound

This paper cites Credit card transactions fraud detection dataset,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Credit card transactions fraud detection dataset,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.294484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2891744-3056-4939-a51c-6bbfe79a6489 · outbound

This paper cites Sparkov data generation,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Sparkov data generation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.289493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 872057e4-f8f3-46c2-aa51-594c3e538a2e · outbound

This paper cites Extended isolation for- est,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Extended isolation for- est,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.298643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 832ab6ed-a232-48eb-87ce-95b9b2e3387a · outbound

This paper cites Deep isolation forest for anomaly detection,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Deep isolation forest for anomaly detection,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.281853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54987577-ba64-4ee9-ab30-cff4866bbbca · outbound

This paper cites Improved anomaly detection by using the attention-based isolation forest,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Improved anomaly detection by using the attention-based isolation forest,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.277144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a7fc0a02-eb7f-45ac-b4a0-91429685fe8b · outbound

This paper cites Robust random cut forest based anomaly detection on streams,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Robust random cut forest based anomaly detection on streams,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.285460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 778bf0fd-b1ae-4e72-847f-326d89a70d52 · outbound

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

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Lof: Identifying density-based local outliers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.302246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e0cbc350-ba05-4dbe-be8e-c0fc9add78ca · outbound

This paper cites Discovering cluster-based local outliers,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Discovering cluster-based local outliers,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.315328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 729c3e37-730a-4749-bbb7-a59546d29345 · outbound

This paper cites Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:04:56.577691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7cf81b34-e363-43ee-b30e-573c5aff8941 · outbound

This paper cites Histogram-based outlier score (hbos): A fast unsupervised anomaly detection algorithm,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Histogram-based outlier score (hbos): A fast unsupervised anomaly detection algorithm,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.263506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bab4aaae-2f19-4c18-85f7-6f64a06dae1d · outbound

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

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Ecod: Unsupervised outlier detection using empirical cumulative distribution functions,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.268252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83d9cc4d-ea27-4d16-bbdb-6a3bc1a8e1db · outbound

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

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Efficient algorithms for mining outliers from large data sets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.254726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4bd4306-2ed7-489e-86f2-54392e7169e1 · outbound

This paper cites Deep learning for anomaly detection: A review,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Deep learning for anomaly detection: A review,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.250634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b677ea6e-cac5-4052-988b-2cb88d04f62e · outbound

This paper cites ADBench: Anomaly detection benchmark,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection ADBench: Anomaly detection benchmark,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.258991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c5f2236-e699-41a9-ac1d-7d315b839621 · outbound

This paper cites Web-scale k-means clustering,.

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Web-scale k-means clustering,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T11:14:56.272765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.