Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T04:37:48.890342Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2502.08605.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T04:37:48.890342Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2eb70b3a-8c0b-4eb3-842e-63b744a9cb60 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Constant curvature graph convolutional networks
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 87574b67-ec91-4d75-a079-47e952bd4cce · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Discrete laplace operator on meshed surfaces
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bf627f85-b02f-4628-a6c7-2c858227379c · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Hyperbolic graph convolutional neural networks
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71731454-7ac4-4cce-be70-0f5de46b097b · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Detecting network anomalies using forman--ricci curvature and a case study for human brain networks
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a664b414-e0d5-468a-b08c-51f7c603bf8b · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Hamilton’s Ricci flow, volume 77
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dcf48927-f120-4284-8461-cd578727059a · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection The n-dimensional cotangent formula
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 973d00b8-45f6-4988-ae23-b4bb55bb72e1 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Convolutional neural networks on graphs with fast localized spectral filtering
Reference 7
Source-reported events for the cited work
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Observation f9c990cb-a4a4-4d39-a3a4-aea6d4ca9de0 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Deep anomaly detection on attributed networks
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5cc62ff2-ba14-4e53-a9dc-fea2fadcbcd2 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 277caa12-55e6-46f0-9967-89a2f1e69b94 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 53125307-6a9c-4f4b-be4d-f66441b1755e · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Cascade-lstm: A tree-structured neural classifier for detecting misinformation cascades
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ae188c9d-bed1-42b2-8018-a7659d562b67 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Anomalydae: Dual autoencoder for anomaly detection on attributed networks
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 006ad955-cf64-400c-9593-521944a7ce99 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Learning mixed-curvature representations in products of model spaces
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 90a463e7-fd25-498e-aa8e-5f27b5cba9bf · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection L., Ying, R., and Leskovec, J
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ca36588e-bf96-4ba3-905c-9d03803c6519 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection ADB ench: Anomaly detection benchmark
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c7c9b310-ae79-47e3-9004-068772b20ffa · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Analyzing the effectiveness of graph metrics for anomaly detection in online social networks
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b35c7f4e-4ece-4c31-a85a-60e02de50887 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2adaa976-9500-4bb8-a787-2f7a155aa0c5 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ada-gad: Anomaly-denoised autoencoders for graph anomaly detection
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9725e2df-223a-4047-a14f-085476adc9e3 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Bernnet: Learning arbitrary graph spectral filters via bernstein approximation
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 66c169e5-6b88-42a8-ad6f-d94f5f6e2a3b · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Graph Convolutional Networks for traffic anomaly
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7b979849-b963-489f-9535-da4b0b5fde86 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Dgraph: A large-scale financial dataset for graph anomaly detection
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 245b31fe-6a76-4790-b4c6-b9ed416d5bc9 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Liu, S
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2ff45b50-c566-4d9c-8bb1-0f1b36752a5c · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 091bd3b6-9266-4679-8ad3-2b3fb46e0ea1 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection The hungarian method for the assignment problem
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8b0980f2-2ef6-47b2-a235-88befe17e0bf · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Predicting dynamic embedding trajectory in temporal interaction networks
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ab7960fd-57fe-45e0-9991-8cac43ce76e6 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvature of graphs
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f229c164-365b-43a8-8c6e-5a9621cfdcd6 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection H., Jia, Z., and Yu, P
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 07aedf05-6290-40d2-84e4-d190a34e6386 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Sphereface: Deep hypersphere embedding for face recognition
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d80a50a-0e63-46c8-bc5f-acd0b0343c5a · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Pick and choose: A gnn-based imbalanced learning approach for fraud detection
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dc5f3e4b-25d0-4034-bfee-9fa06f45eb1d · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3d25619e-f1d4-41ee-a50a-cb1ac343971a · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Network alignment by discrete ollivier-ricci flow
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 55764fb5-6420-4e95-9b1a-ef8aa915bef0 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvature of metric spaces
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 38b1dd66-947f-4743-b54f-365f194d05f3 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvature of markov chains on metric spaces
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 900eb7ba-e2ff-488b-9e7a-0384791e8dc8 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Rossi, F
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f9a41ec2-2af8-4552-809d-5661ff840cfa · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection A critical look at the evaluation of gnns under heterophily: are we really making progress? In ICLR, 2023
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 04331234-c91b-4d22-a2e9-fd4100c36f50 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Akoglu, L
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 15596e27-cd59-47bb-a11e-0cced3a1456b · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Gad-nr : Graph anomaly detection via neighborhood reconstruction
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 41da7bf6-ecb5-4921-9fbe-c58a1827bfa2 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Karate club: an api oriented open-source python framework for unsupervised learning on graphs
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 594d0a71-ecb6-4b18-a739-223db28b1627 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Representation tradeoffs for hyperbolic embeddings
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3b3d98b1-0bcd-4895-83ce-91c5fe15bf62 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b9867406-7574-4b17-a70f-1e9484588d0e · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Knopp, P
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dd37dec1-69d8-450f-9cb9-c86742d9c527 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Rethinking graph neural networks for anomaly detection
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cbf63fb0-341f-4ab7-9b54-3dcf7f2024c8 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvatures of contact riemannian manifolds
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3dd0e992-1a19-43b1-b342-95dad1451f23 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Curvature-based Clustering on Graphs
Reference 44
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3101780f-f191-4272-933c-5c7301f4db5d · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Understanding over-squashing and bottlenecks on graphs via curvature
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c9a1767-e8f4-4ffc-b7b2-00b191c550c6 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f740fbf6-7a33-4510-903a-b66951b9cef5 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Geometry of laplace-beltrami operator on a complete riemannian manifold
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8118e529-efb3-4db6-98af-e9f5f4214440 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Graph Attention Networks
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ff787a0-9356-47f9-a969-b5a296dbc475 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Zhu, H
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0580729d-4fe3-421e-8280-60fe9a5e4ee3 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Decoupling representation learning and classification for gnn-based anomaly detection
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 70add1b4-5b43-47ce-8446-3c2058ff85b2 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63736e00-24c4-4e83-8420-beeb2812d590 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Pseudo-riemannian graph convolutional networks
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f30753ed-464d-4e07-a3dd-38ce3584148e · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Casflow: Exploring hierarchical structures and propagation uncertainty for cascade prediction
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c2e62ce1-dedb-4eae-8beb-3631908f838b · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Hyperbolic graph attention network
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 764dbd75-7072-43f5-8bec-5ceedd8e278f · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Error-bounded graph anomaly loss for gnns
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 532338af-19b9-4c7c-9b2b-755ba15bedb7 · outbound
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection write newline
Reference 56
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.