Paper Citation Record · LEDGER

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services

As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2508.14503.

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

pith.paper-citation-record.v1
2508.14503 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:32:36.166744Z

measured 56 of 56 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 2026-08-05T05:48:40.009858Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:48:40.611440Z

Reference resolution

55 of 55 outbound references displayed

verified exact8
verified fuzzy35
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 226f0721-5084-4923-825b-6ff0cf8b46f9 · outbound

This paper cites Decomposition-based multi-scale transformer framework for time series anomaly detection,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Decomposition-based multi-scale transformer framework for time series anomaly detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:44.325570Z

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 0ed244a5-9f8a-4ce9-804c-5b4d01faa996 · outbound

This paper cites Multi-scale transformers with adaptive pathways for time series forecasting,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Multi-scale transformers with adaptive pathways for time series forecasting,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:44.157765Z

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 f4268ffb-fb69-49bd-8d06-448d00abd4a7 · outbound

This paper cites Graph-Based Representation Learning for Identifying Fraud in Transaction Networks,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Graph-Based Representation Learning for Identifying Fraud in Transaction Networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:43.973052Z

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 162aae79-a6d4-433f-b449-5fa6dc3d8550 · outbound

This paper cites Reinforcement Learning in Finance: QTRAN for Portfolio Optimization,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Reinforcement Learning in Finance: QTRAN for Portfolio Optimization,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:43.789152Z

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 5829a192-c1af-4777-acd7-c92a821dd725 · outbound

This paper cites A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:31.294810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a135c37c-450b-46c7-a67e-34d5373bace9 · outbound

This paper cites Time-Series Nested Reinforcement Learning for Dynamic Risk Control in Nonlinear Financial Markets,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Time-Series Nested Reinforcement Learning for Dynamic Risk Control in Nonlinear Financial Markets,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:43.607933Z

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 c1a72b11-4243-4711-8569-962c80621b77 · outbound

This paper cites Enhancing Systemic Risk Forecasting with Deep Attention Models in Financial Time Series,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Enhancing Systemic Risk Forecasting with Deep Attention Models in Financial Time Series,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:43.483964Z

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 0403e9b5-9bc6-467a-98cf-7db217d56595 · outbound

This paper cites Transformer-Based Risk Monitoring for Anti-Money Laundering with Transaction Graph Integration,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Transformer-Based Risk Monitoring for Anti-Money Laundering with Transaction Graph Integration,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:43.261838Z

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 f83b810d-364a-4752-a446-de3a6fd19774 · outbound

This paper cites Stock Prediction with Improved Feedforward Neural Networks and Multimodal Fusion,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Stock Prediction with Improved Feedforward Neural Networks and Multimodal Fusion,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:31.599422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2800bdbd-e38f-4c43-b16b-fe703070fa13 · outbound

This paper cites Market Turbulence Prediction and Risk Control with Improved A3C Reinforcement Learning,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Market Turbulence Prediction and Risk Control with Improved A3C Reinforcement Learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:31.675189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08c82bbb-c25f-4b0f-bda2-072eee30ea3a · outbound

This paper cites Opprentice: Towards practical and automatic anomaly detection through machine learning.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Opprentice: Towards practical and automatic anomaly detection through machine learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:43.053009Z

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 9d9a32d2-f82f-4b96-932d-cb5ab74c6279 · outbound

This paper cites Automatic Anomaly Detection in the Cloud Via Statistical Learning.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Automatic Anomaly Detection in the Cloud Via Statistical Learning

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:32:37.583028Z

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 a933cdf2-03a1-4435-8bd7-5c0c686a0f0e · outbound

This paper cites Evaluating real-time anomaly detection algorithms—The Numenta Anomaly Benchmark.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Evaluating real-time anomaly detection algorithms—The Numenta Anomaly Benchmark

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:42.879212Z

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 0ce9ea81-0f5f-4639-859e-2fe5537372ce · outbound

This paper cites EEG Anomaly Detection Using Temporal Graph Attention for Clinical Applications,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services EEG Anomaly Detection Using Temporal Graph Attention for Clinical Applications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:42.631913Z

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 b82e29a8-4dde-4bf9-bb51-6f6cef8eaea3 · outbound

This paper cites Multi-Scale Feature Integration and Spatial Attention for Accurate Lesion Segmentation,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Multi-Scale Feature Integration and Spatial Attention for Accurate Lesion Segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:42.437115Z

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 c8893a5e-2763-4517-80af-81f9ff19f2b5 · outbound

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

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:32.101675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 751491ea-e0de-4cfb-8c48-b4d8e82e333f · outbound

This paper cites Domain-Adaptive Organ Segmentation through SegFormer Architecture in Clinical Imaging,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Domain-Adaptive Organ Segmentation through SegFormer Architecture in Clinical Imaging,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:42.309581Z

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 7433d561-9b46-492d-bd0a-566bd800eac6 · outbound

This paper cites Joint Modeling of Medical Images and Clinical Text for Early Diabetes Risk Detection,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Joint Modeling of Medical Images and Clinical Text for Early Diabetes Risk Detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:42.173629Z

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 ec4ded8a-a960-4d4f-a3ac-459481648e8b · outbound

This paper cites A novel multi-scale network intrusion detection model with transformer,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A novel multi-scale network intrusion detection model with transformer,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:42.014243Z

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 ab49a391-9378-4db2-9ed3-3b12c68b0991 · outbound

This paper cites MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:32:37.431199Z

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 aa5c5dc4-979c-4819-81da-d39277609dcc · outbound

This paper cites A Hybrid Recommendation Approach Integrating Matrix Decomposition and Deep Neural Networks for Enhanced Accuracy and Generalization,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A Hybrid Recommendation Approach Integrating Matrix Decomposition and Deep Neural Networks for Enhanced Accuracy and Generalization,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:32.503075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e021e5f5-1d74-4cfb-b5e8-f3485a3387eb · outbound

This paper cites Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:32:37.278726Z

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 4ba982d7-bdd3-4180-be3a-93941e846c37 · outbound

This paper cites Sequential Recommendation via Time- Aware and Multi-Channel Convolutional User Modeling,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Sequential Recommendation via Time- Aware and Multi-Channel Convolutional User Modeling,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:41.844235Z

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 d51c8319-2087-45e3-bde0-4b4fa1026091 · outbound

This paper cites EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:32:37.113163Z

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 da36a741-19d3-4e9a-b29a-8a786cbf104d · outbound

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

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:32.812628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2168c193-085b-46a9-833a-6ea0ecdfddea · outbound

This paper cites Revisiting LoRA: A Smarter Low-Rank Approach for Efficient Model Adaptation,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Revisiting LoRA: A Smarter Low-Rank Approach for Efficient Model Adaptation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:32.857328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 025d243d-990f-4693-8547-adea0e73e52e · outbound

This paper cites Integrating Knowledge Graph Reasoning with Pretrained Language Models for Structured Anomaly Detection,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Integrating Knowledge Graph Reasoning with Pretrained Language Models for Structured Anomaly Detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:41.683605Z

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 067a6687-4526-49f6-b4a1-292be4765f52 · outbound

This paper cites Structured Path Guidance for Logical Coherence in Large Language Model Generation,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Structured Path Guidance for Logical Coherence in Large Language Model Generation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:41.495639Z

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 c55f0fc3-80b4-4019-9f37-0a1141b4e76a · outbound

This paper cites Anomaly detection and analysis for clustered cloud computing reliability,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Anomaly detection and analysis for clustered cloud computing reliability,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:41.313316Z

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 d20d4b52-3b9b-45d4-9c31-6904ebbcfde0 · outbound

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

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Anomaly detection in microservice environments via conditional multiscale GANs and adaptive temporal autoencoders,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:41.131061Z

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 5a2b649e-299a-4935-96cd-b51206ad6e6c · outbound

This paper cites Self-Attention-Based Modeling of Multi-Source Metrics for Performance Trend Prediction in Cloud Systems,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Self-Attention-Based Modeling of Multi-Source Metrics for Performance Trend Prediction in Cloud Systems,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:40.954124Z

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 eead64d4-ed54-45f9-9596-b36eca45792c · outbound

This paper cites Graph Neural Recognition of Malicious User Patterns in Cloud Systems via Attention Optimization,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Graph Neural Recognition of Malicious User Patterns in Cloud Systems via Attention Optimization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:40.776178Z

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 e3daeb53-2aab-413a-b286-cc25cc5abe84 · outbound

This paper cites Deep Learning for Root Cause Detection in Distributed Systems with Structural Encoding and Multi-modal Attention,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Deep Learning for Root Cause Detection in Distributed Systems with Structural Encoding and Multi-modal Attention,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:40.620952Z

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 33ba78c3-ce26-42eb-9e75-e2119ad3bbf4 · outbound

This paper cites PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:33.312342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fffca1ff-b4a7-453b-95be-27526d740ec1 · outbound

This paper cites A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:32:36.863798Z

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 80e99b8b-9996-4878-983f-50367bc87991 · outbound

This paper cites Multi-scale feature reconstruction network for industrial anomaly detection,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Multi-scale feature reconstruction network for industrial anomaly detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:40.527023Z

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 3d1d033f-f6ba-4494-a92a-7bb9cff01083 · outbound

This paper cites Temporal fusion transformers for interpretable multi-horizon time series forecasting,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Temporal fusion transformers for interpretable multi-horizon time series forecasting,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:40.402268Z

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 a8e8ddd5-01d5-4e53-b634-078ccaa3a25a · outbound

This paper cites Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:32:36.807581Z

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 f5f5b4d0-13de-4a94-b9db-4b45119b1ecc · outbound

This paper cites Predictive Modeling of Volatility Using Generative Time-Aware Diffusion Frameworks,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Predictive Modeling of Volatility Using Generative Time-Aware Diffusion Frameworks,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:40.182299Z

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 cbb610dd-2ae9-49d0-9518-351bed53c034 · outbound

This paper cites Single-Device Human Activity Recognition Based on Spatiotemporal Feature Learning Networks,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Single-Device Human Activity Recognition Based on Spatiotemporal Feature Learning Networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:39.941602Z

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 826fda2c-9e61-453c-937c-189ae1aa8aa7 · outbound

This paper cites Dynamic operating system scheduling using double DQN: A reinforcement learning approach to task optimization,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Dynamic operating system scheduling using double DQN: A reinforcement learning approach to task optimization,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:34.390133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b701d6d8-ab46-4829-8e0a-f11ed5ecc6cc · outbound

This paper cites State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:32:36.653057Z

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 7554c17c-40ce-4967-a847-f1ff3884906a · outbound

This paper cites Autonomous Resource Management in Microservice Systems via Reinforcement Learning.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Autonomous Resource Management in Microservice Systems via Reinforcement Learning

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:32:36.432151Z

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 654bc6bf-d7c8-44fd-acbb-2ca5a5815198 · outbound

This paper cites Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:34.738281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d86efaa1-320c-478a-90e0-91a352f6328e · outbound

This paper cites Privacy-Enhanced Federated Learning for Distributed Heterogeneous Data,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Privacy-Enhanced Federated Learning for Distributed Heterogeneous Data,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:39.695626Z

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 3d46cfff-8f98-43e3-89b9-fb14bfb2d70a · outbound

This paper cites An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:39.406791Z

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 462375ea-f795-4dd4-86f0-a7ee9a64f8d6 · outbound

This paper cites Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:39.164020Z

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 04a30891-6b59-4aa8-8ce7-49bdcc0cc78c · outbound

This paper cites Transferable Load Forecasting and Scheduling via Meta- Learned Task Representations,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Transferable Load Forecasting and Scheduling via Meta- Learned Task Representations,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:38.900721Z

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 a12dcf9c-f313-49ee-a0cf-65d4de193084 · outbound

This paper cites Deep residual learning for image recognition,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Deep residual learning for image recognition,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:38.667489Z

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 af94216b-13b7-49d7-8693-69f1ad587df5 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:35.488546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f62170-185c-415a-9bc7-5bb642e50a5f · outbound

This paper cites A review on the long short-term memory model,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A review on the long short-term memory model,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:38.487590Z

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 29351dab-71ee-4ef0-b888-0b8c25731618 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T18:32:35.794402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 740b0ff6-341a-4d47-a28c-7e1a82d62965 · outbound

This paper cites Attention is all you need,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Attention is all you need,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:38.241297Z

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 76ad26bf-6de7-4492-b65f-755905b2d2d7 · outbound

This paper cites A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder,.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services A multi-information fusion anomaly detection model based on convolutional neural networks and AutoEncoder,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:38.018450Z

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 9f533471-77df-4940-92c7-680bb877e254 · outbound

This paper cites Exathlon: A benchmark for explainable anomaly detection over time series.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Exathlon: A benchmark for explainable anomaly detection over time series

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:32:37.781376Z

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 2b7f6fbd-c306-4731-bf9a-4429355059bb · 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 Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:40.726238Z

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.