Paper Citation Record · LEDGER

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection

As of 22 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 2 inbound Pith citation observations for arXiv:2505.07508.

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

pith.paper-citation-record.v1
2505.07508 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:21:06.380505Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:27:18.450410Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:09:46.541716Z

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy19
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3dcf5a3a-1bf1-444f-8031-467722ba52d0 · outbound

This paper cites Graph learning for fake review detection,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Graph learning for fake review detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.652466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9a34be19-abb0-4e0b-9204-df7675b86667 · outbound

This paper cites Graph based anomaly detection and description: a survey,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Graph based anomaly detection and description: a survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.641814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cc2ac081-040a-42d4-9a0f-c6c32a8828aa · outbound

This paper cites A comprehensive survey on graph anomaly detection with deep learning,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection A comprehensive survey on graph anomaly detection with deep learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.630143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a640f72c-6067-44e6-8715-fc7acb4f76d9 · outbound

This paper cites Graph embedded pose clustering for anomaly detection,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Graph embedded pose clustering for anomaly detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.608190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88e0488b-e063-4ebc-bed9-56f94348b202 · outbound

This paper cites Metagraph ag- gregated heterogeneous graph neural network for illicit traded product identification in underground market,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Metagraph ag- gregated heterogeneous graph neural network for illicit traded product identification in underground market,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.596576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 861af799-8215-4286-a000-5bc9ebdfc217 · outbound

This paper cites Deep graph learning for anomalous citation detection,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Deep graph learning for anomalous citation detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.585108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eb5a5786-af17-4c38-b20f-4e7343e1ba6f · outbound

This paper cites Heterogeneous graph neural networks for malicious account detection,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Heterogeneous graph neural networks for malicious account detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.573517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 57be4ce9-5f89-4903-a672-91cce522ab76 · outbound

This paper cites Defending water treatment networks: Exploiting spatio- temporal effects for cyber attack detection,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Defending water treatment networks: Exploiting spatio- temporal effects for cyber attack detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.560328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95740f60-c1c2-4b56-ace2-b11f83a0d35c · outbound

This paper cites Fraudre: fraud detection dual- resistant to graph inconsistency and imbalance,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Fraudre: fraud detection dual- resistant to graph inconsistency and imbalance,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.547086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 672131a1-c7b5-42a3-ad68-53758488ede0 · outbound

This paper cites Robust graph convolutional networks against adversarial attacks,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Robust graph convolutional networks against adversarial attacks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.534603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c4c2f4bb-5cc9-419b-b317-fa25e102b832 · outbound

This paper cites Deep anomaly detection on attributed networks,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Deep anomaly detection on attributed networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.522614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a68f4aa3-697c-47e1-9ef9-dcc401da89de · outbound

This paper cites Anomalydae: Dual autoen- coder for anomaly detection on attributed networks,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Anomalydae: Dual autoen- coder for anomaly detection on attributed networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.510139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef1c4d8f-5bd3-4ca9-9f55-e0f8fe467c38 · outbound

This paper cites GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.496460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 088749bc-a02e-4a4d-bb0e-29e65c2e27a6 · outbound

This paper cites Contrastive pre- training of gnns on heterogeneous graphs,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Contrastive pre- training of gnns on heterogeneous graphs,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.479327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ad16a1d1-424b-452a-bf2f-44f9c152ae64 · outbound

This paper cites Graph contrastive learning with adaptive augmentation,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Graph contrastive learning with adaptive augmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.466428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1f27acb-b194-46ee-8f4d-fb76a3cf3187 · outbound

This paper cites Anomaly detection on attributed networks via con- trastive self-supervised learning,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Anomaly detection on attributed networks via con- trastive self-supervised learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.454651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6be9113b-9114-45f4-89cc-2ff67fcc1d9d · outbound

This paper cites Arnetminer: extraction and mining of academic social networks,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Arnetminer: extraction and mining of academic social networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.441920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ea14392-3933-4b58-ab31-83b301b47fb9 · outbound

This paper cites Adversarial learning on heterogeneous information networks,.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Adversarial learning on heterogeneous information networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.429901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d0f09c2-c38a-4132-8786-04700ec9bf81 · outbound

This paper cites Deep graph infomax.

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Deep graph infomax

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:21:06.416773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation e1a29296-617a-43c3-9512-3a9cf48e4bd0 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection

Reference 204

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:09:46.543415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d587b08b-4da2-4d8d-baec-600cac5438eb · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection

Reference 204

Resolution: unresolved; no resolver link, observed 2026-08-02T10:27:18.450410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.