Paper Citation Record · LEDGER

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery

As of 8 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2508.09401.

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

pith.paper-citation-record.v1
2508.09401 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:08:48.215394Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:48:38.613262Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:48:41.466044Z

Reference resolution

22 of 22 outbound references displayed

verified exact10
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06d45ad8-8c56-491a-bf67-b4fbbbd6766f · outbound

This paper cites Graph neural network-based anomaly detection in multivariate time series,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Graph neural network-based anomaly detection in multivariate time series,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:52.993507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d227134-f625-4b92-8e07-ee3a23e9e1d1 · outbound

This paper cites Domain-adaptive organ segmentation through SegFormer architecture in clinical imaging,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Domain-adaptive organ segmentation through SegFormer architecture in clinical imaging,

Reference 2

Resolution: verified exact; doi, observed 2026-08-05T21:08:50.173536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 68d2485b-7b5e-46b7-bfa6-051d3de5ec55 · outbound

This paper cites Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:45.705643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9932dc1c-d62c-4407-8dde-577fea49994a · outbound

This paper cites Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:08:51.165353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81f0eba1-1398-40b0-b7e9-7df7ce6d21b4 · outbound

This paper cites Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:45.852707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0b1700e-b6f5-47b1-a0b8-baf2254aecb7 · outbound

This paper cites Causal discriminative modeling for robust cloud service fault detection,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Causal discriminative modeling for robust cloud service fault detection,

Reference 6

Resolution: verified exact; doi, observed 2026-08-05T21:08:50.004512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c9cbf502-f901-4a11-8368-f5c36cdeb725 · outbound

This paper cites Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:45.973761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a649aa8-e166-4a78-8bd7-a4a9ec99d486 · outbound

This paper cites Self-attention-based modeling of multi-source metrics for performance trend prediction in cloud systems,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Self-attention-based modeling of multi-source metrics for performance trend prediction in cloud systems,

Reference 8

Resolution: verified exact; doi, observed 2026-08-05T21:08:49.629266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb97381b-2ec4-4801-9122-3eabcae8e4f5 · outbound

This paper cites Anomaly detection in microservice environments via conditional multiscale GANs and adaptive temporal autoencoders,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Anomaly detection in microservice environments via conditional multiscale GANs and adaptive temporal autoencoders,

Reference 9

Resolution: verified exact; doi, observed 2026-08-05T21:08:49.333874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 22b3af8e-0c57-42ce-84cd-4a8eebcd2e3d · outbound

This paper cites Modeling audit workflow dynamics with deep Q- learning for intelligent decision-making,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Modeling audit workflow dynamics with deep Q- learning for intelligent decision-making,

Reference 10

Resolution: verified exact; doi, observed 2026-08-05T21:08:49.084585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3ef54f79-acd5-49c9-86a9-086a01cdc5dc · outbound

This paper cites Selective noise injection and feature scoring for unsupervised request anomaly detection,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Selective noise injection and feature scoring for unsupervised request anomaly detection,

Reference 11

Resolution: verified exact; doi, observed 2026-08-05T21:08:48.731453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60fb3908-3883-4a24-bdf1-a2f9ff67a036 · outbound

This paper cites Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:08:50.883392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7a5a481-8eca-4814-bbd1-b96bbfb5c402 · outbound

This paper cites Deep learning for root cause detection in distributed systems with structural encoding and multi-modal attention,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Deep learning for root cause detection in distributed systems with structural encoding and multi-modal attention,

Reference 13

Resolution: verified exact; doi, observed 2026-08-05T21:08:48.453572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ec736c62-ee13-4f39-8936-c807ce0ecdd5 · outbound

This paper cites Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:47.150850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91935ed3-4895-48c2-bad6-246ea515b0b4 · outbound

This paper cites Fusion- based retrieval-augmented generation for complex question answering with LLMs,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Fusion- based retrieval-augmented generation for complex question answering with LLMs,

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-05T21:08:50.690163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a24e37f5-0158-4681-8a5f-d86242db258d · outbound

This paper cites Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:47.458634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e89d4647-33e5-41f6-85c2-67e9543d51da · outbound

This paper cites Multivariate time-series anomaly detection via graph attention network,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Multivariate time-series anomaly detection via graph attention network,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:52.717198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1d14d806-b54e-4130-8648-92edc4f9d940 · outbound

This paper cites TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:47.751752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d04ab6b-8fd0-43fa-b0c7-1b48f900a9a8 · outbound

This paper cites Graph neural networks based log anomaly detection and explanation,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Graph neural networks based log anomaly detection and explanation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:52.462066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e40e9341-ebcd-4dc4-89ec-33ee1a67f4c2 · outbound

This paper cites Memto: Memory-guided transformer for multivariate time series anomaly detection,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Memto: Memory-guided transformer for multivariate time series anomaly detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:52.208981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2538664-f87d-461e-a48d-06ca1d9aecf3 · outbound

This paper cites Time-series anomaly detection service at Microsoft,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Time-series anomaly detection service at Microsoft,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:51.945435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1786c238-bdbf-41fa-975d-ab8febe04dbc · outbound

This paper cites Generative adversarial active learning for unsupervised outlier detection,.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Generative adversarial active learning for unsupervised outlier detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:51.567190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 9fba9383-dbfe-4ed5-9979-233ea10f723a · inbound

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks cites this paper.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:41.564208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.