Paper Citation Record · LEDGER

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2605.26446.

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

pith.paper-citation-record.v1
2605.26446 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:59:17.787145Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

13 of 13 outbound references displayed

verified exact1
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0326bcbe-590e-4a16-81f3-d6fe84305c13 · outbound

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

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Graph based anomaly detection and description: A survey,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f432e6ae-f0cb-4c25-8ba7-4d45d1cb2f4f · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Semi-supervised classification with graph convolutional networks,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04865f16-e69d-4140-bfd3-48cfa8a84270 · outbound

This paper cites Denoising diffusion probabilistic models,.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Denoising diffusion probabilistic models,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7e22937-d424-444d-ae89-22a54402d685 · outbound

This paper cites Inductive representation learning on large graphs,.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Inductive representation learning on large graphs,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a4b4532-3272-4942-8056-e1ab9ff7873c · outbound

This paper cites Graph attention networks,.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Graph attention networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d4a24a-bd6e-4bd3-8794-a7b0531db3a7 · outbound

This paper cites Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.262627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bd1e3bd0-e423-4a38-af0f-e5c98a899477 · outbound

This paper cites Tranad: Deep transformer networks for anomaly detection in multivariate time series data,.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Tranad: Deep transformer networks for anomaly detection in multivariate time series data,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6115497c-122a-4cd3-b9bf-0bbff81cba0b · outbound

This paper cites Diffgad: A diffusion-based unsupervised graph anomaly detector,.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Diffgad: A diffusion-based unsupervised graph anomaly detector,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec8e89a9-9e2d-4920-9289-36f31e5cda0e · outbound

This paper cites Ma- chine learning with adversaries: Byzantine tolerant gradient descent,.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Ma- chine learning with adversaries: Byzantine tolerant gradient descent,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08d21450-ff0f-4cc9-8194-5de93ef464fc · outbound

This paper cites Deep anomaly detection on attributed networks,.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Deep anomaly detection on attributed networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccc771ec-5c23-4fc3-944c-97c6bfa663af · outbound

This paper cites Anomalydae: Dual autoencoder for anomaly detection on attributed networks,.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Anomalydae: Dual autoencoder for anomaly detection on attributed networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df06332e-4d6b-4ed5-a5d7-f10730a2a25d · outbound

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

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Anomaly detection on attributed networks via contrastive self- supervised learning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bc3b6de-b103-403b-8979-414a74306478 · outbound

This paper cites Graphmae: Self-supervised masked graph autoencoders,.

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection Graphmae: Self-supervised masked graph autoencoders,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T19:59:17.787145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.