Paper Citation Record · LEDGER

Hyperedge Anomaly Detection with Hypergraph Neural Network

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2412.05641.

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

pith.paper-citation-record.v1
2412.05641 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:35:17.647228Z

measured 24 of 24 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 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

24 of 24 outbound references displayed

verified exact1
verified fuzzy22
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b1adfc4-5360-413a-87a3-55449e85593e · outbound

This paper cites Graph-based anomaly detection.

Hyperedge Anomaly Detection with Hypergraph Neural Network Graph-based anomaly detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.843157Z

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 c1bbace1-9ad9-4860-bfd0-caff94da5a0c · outbound

This paper cites Oddball: Spotting anomalies in weighted graphs.

Hyperedge Anomaly Detection with Hypergraph Neural Network Oddball: Spotting anomalies in weighted graphs

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.836022Z

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 7f0d0b71-458f-4371-aecb-39c5a3ae205f · outbound

This paper cites Spotlight: Detecting anomalies in streaming graphs.

Hyperedge Anomaly Detection with Hypergraph Neural Network Spotlight: Detecting anomalies in streaming graphs

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.828130Z

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 8e87d625-fb1b-4adb-a025-66cfa3e0e48e · outbound

This paper cites node2vec: Scalable feature learning for networks.

Hyperedge Anomaly Detection with Hypergraph Neural Network node2vec: Scalable feature learning for networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.820900Z

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 a7a8c85d-b11d-4e82-9aaf-00427a91b074 · outbound

This paper cites Graph clustering with graph neural networks.

Hyperedge Anomaly Detection with Hypergraph Neural Network Graph clustering with graph neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.813823Z

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 5f77d63f-df12-42fc-a4af-4bde7ccfefe5 · outbound

This paper cites Link prediction based on graph neural networks.

Hyperedge Anomaly Detection with Hypergraph Neural Network Link prediction based on graph neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.806449Z

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 88123bcf-3aca-48fa-8953-397f417bae7b · outbound

This paper cites One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks.

Hyperedge Anomaly Detection with Hypergraph Neural Network One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:35:17.678982Z

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 ef5c03d1-232d-4559-9a9f-f62626d52445 · outbound

This paper cites Rethinking graph neural networks for anomaly detection.

Hyperedge Anomaly Detection with Hypergraph Neural Network Rethinking graph neural networks for anomaly detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.798977Z

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 d687b357-6f76-45c9-87a3-7ac866f55c1c · outbound

This paper cites Enhancing graph neural network-based fraud detectors against camouflaged fraudsters.

Hyperedge Anomaly Detection with Hypergraph Neural Network Enhancing graph neural network-based fraud detectors against camouflaged fraudsters

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.791887Z

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 aeeea61f-2ac3-4cc7-9275-a52b91cccb3c · outbound

This paper cites A scalable ap- proach for outlier detection in edge streams using sketch-based approximations.

Hyperedge Anomaly Detection with Hypergraph Neural Network A scalable ap- proach for outlier detection in edge streams using sketch-based approximations

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.784715Z

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 b3e27744-799a-4d27-aff3-070f5767eeff · outbound

This paper cites efraudcom: An e-commerce fraud detection system via competitive graph neural networks.

Hyperedge Anomaly Detection with Hypergraph Neural Network efraudcom: An e-commerce fraud detection system via competitive graph neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.778404Z

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 6ca54c0e-e8aa-4d92-b5a4-6a679f5084f8 · outbound

This paper cites Dual-discriminative graph neural network for imbalanced graph-level anomaly detection.

Hyperedge Anomaly Detection with Hypergraph Neural Network Dual-discriminative graph neural network for imbalanced graph-level anomaly detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.772043Z

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 5eab5ea6-80b6-4947-a53a-3550ea916373 · outbound

This paper cites Raising the bar in graph-level anomaly detection.

Hyperedge Anomaly Detection with Hypergraph Neural Network Raising the bar in graph-level anomaly detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.765548Z

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 cb0561c5-316f-420f-ba05-0e768d3432da · outbound

This paper cites Efficient outlier detection in hyperedge streams using minhash and locality-sensitive hashing.

Hyperedge Anomaly Detection with Hypergraph Neural Network Efficient outlier detection in hyperedge streams using minhash and locality-sensitive hashing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.758231Z

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 25955986-2da5-4c3d-a4f3-1b895094c20d · outbound

This paper cites Hashnwalk: Hash and random walk based anomaly detection in hyperedge streams.

Hyperedge Anomaly Detection with Hypergraph Neural Network Hashnwalk: Hash and random walk based anomaly detection in hyperedge streams

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.750846Z

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 4ca5c1da-3287-4f38-ae00-d1a5cd319a8e · outbound

This paper cites Hypergraph-based anomaly detection of high-dimensional co- occurrences.

Hyperedge Anomaly Detection with Hypergraph Neural Network Hypergraph-based anomaly detection of high-dimensional co- occurrences

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.743321Z

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 a1c93302-1924-4dac-b9c7-b086ea69cd22 · outbound

This paper cites Hypergraph neural networks.

Hyperedge Anomaly Detection with Hypergraph Neural Network Hypergraph neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.735586Z

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 683a0151-0b5c-4b44-b9e9-917fe85d219a · outbound

This paper cites Hypergcn: A new method for training graph convolutional networks on hypergraphs.

Hyperedge Anomaly Detection with Hypergraph Neural Network Hypergcn: A new method for training graph convolutional networks on hypergraphs

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.728327Z

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 d3717570-f178-454a-9f22-52c5e65f43ed · outbound

This paper cites You are allset: A multiset function framework for hypergraph neural networks.

Hyperedge Anomaly Detection with Hypergraph Neural Network You are allset: A multiset function framework for hypergraph neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.720295Z

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 fe70f108-d9e3-4fb1-8f97-2d73e7112aba · outbound

This paper cites Hypergraph collaborative network on vertices and hyperedges.

Hyperedge Anomaly Detection with Hypergraph Neural Network Hypergraph collaborative network on vertices and hyperedges

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.711826Z

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 e599e93b-abd5-4613-bd30-aa7b9949b81d · outbound

This paper cites Ahp: Learning to negative sample for hyperedge prediction.

Hyperedge Anomaly Detection with Hypergraph Neural Network Ahp: Learning to negative sample for hyperedge prediction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.703954Z

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 5450271b-573a-4f40-bf9b-5aadd549e414 · outbound

This paper cites Learning with hypergraphs: Clus- tering, classification, and embedding.

Hyperedge Anomaly Detection with Hypergraph Neural Network Learning with hypergraphs: Clus- tering, classification, and embedding

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.696075Z

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 6f2dffed-2a3e-42c5-8972-f0e25990654c · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Hyperedge Anomaly Detection with Hypergraph Neural Network Semi-Supervised Classification with Graph Convolutional Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T20:35:17.644338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17316307-5774-49fd-91cd-2a811bcb5a68 · outbound

This paper cites Deep one-class classification.

Hyperedge Anomaly Detection with Hypergraph Neural Network Deep one-class classification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:35:17.687165Z

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

No inbound Pith citation observations are available.