Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks | Paper Citation Record

Observation 8836e70b-2155-4e81-b526-b48699f81ff1 · outbound

This paper cites Packet routing with graph attention multi- agent reinforcement learning.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Packet routing with graph attention multi- agent reinforcement learning

Reference 1

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Observation 0e5de70d-09f6-44c5-9d0b-5f4fc1d7a848 · outbound

This paper cites ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning

Reference 2

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Observation e0a5d33e-370b-4926-a3e5-248e33b7bba4 · outbound

This paper cites GRL-PS: Graph embedding-based DRL approach for adaptive path selection.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks GRL-PS: Graph embedding-based DRL approach for adaptive path selection

Reference 3

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Observation 7c65190f-8d24-44a2-8902-a4bb7fbb9d12 · outbound

This paper cites Advancing Corporate Financial Forecasting: The Role of LSTM and AI in Modern Accounting.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Advancing Corporate Financial Forecasting: The Role of LSTM and AI in Modern Accounting

Reference 4

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Observation 5c83d89a-d5da-454f-a9e4-09499f713491 · outbound

This paper cites Optimizedconvolutionalneuralnetworkforintelligent financial statement anomaly detection.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Optimizedconvolutionalneuralnetworkforintelligent financial statement anomaly detection

Reference 5

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Observation daafa109-bb67-485c-824b-95569e714564 · outbound

This paper cites Time Series ForecastingwithAttention-AugmentedRecurrentNetworks:AFinancial MarketApplication.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Time Series ForecastingwithAttention-AugmentedRecurrentNetworks:AFinancial MarketApplication

Reference 6

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Observation 1e63b877-9b4a-443c-99e4-cdb25f7200c7 · outbound

This paper cites Forecasting Asset Returns with Structured Text Factors and Dynamic Time Windows.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Forecasting Asset Returns with Structured Text Factors and Dynamic Time Windows

Reference 7

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Observation c4b49727-103f-4f42-82e0-2d00b5a29c45 · outbound

This paper cites BERT-Based Automatic Audit Report Generation and Compliance Analysis.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks BERT-Based Automatic Audit Report Generation and Compliance Analysis

Reference 8

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Observation 972dde80-a7aa-4971-8197-82167342da55 · outbound

This paper cites Semantic and Structural Analysis of Implicit Biases in Large Language Models: An Interpretable Approach.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Semantic and Structural Analysis of Implicit Biases in Large Language Models: An Interpretable Approach

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:43.604795Z

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Observation 64a978e2-8286-48b5-8587-b62dd9aca283 · outbound

This paper cites Structured Memory Mechanisms for Stable Context Representation in Large Language Models.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Structured Memory Mechanisms for Stable Context Representation in Large Language Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:43.268538Z

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Observation 19bbca50-f16f-4dc4-bd05-7fdb751583d1 · outbound

This paper cites Structured Compression of Large Language Models with Sensitivity-aware Pruning Mechanisms.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Structured Compression of Large Language Models with Sensitivity-aware Pruning Mechanisms

Reference 11

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Observation 680998c2-942a-4797-b482-c4eecc4fd36e · outbound

This paper cites Internal Knowledge Adaptation in LLMs with Consistency- Constrained Dynamic Routing.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Internal Knowledge Adaptation in LLMs with Consistency- Constrained Dynamic Routing

Reference 12

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Observation 443eac31-3226-4663-aa44-c6c82d5a48c1 · outbound

This paper cites Target-Oriented Causal Representation Learning for Robust Cross-Market Return Prediction.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Target-Oriented Causal Representation Learning for Robust Cross-Market Return Prediction

Reference 13

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Observation 714178e3-c77e-4409-b7e0-3ca67d9f4516 · outbound

This paper cites Enhancing Systemic Risk Forecasting with Deep Attention Models in Financial TimeSeries.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Enhancing Systemic Risk Forecasting with Deep Attention Models in Financial TimeSeries

Reference 14

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Observation 17658a9e-d07f-453a-accf-f053e8864ad4 · outbound

This paper cites Financial text analysis using 1D-CNN: Risk classification and auditing support.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Financial text analysis using 1D-CNN: Risk classification and auditing support

Reference 15

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Observation 0192c1a6-7ede-4b1d-8da0-76004a0c72cf · outbound

This paper cites Hierarchical semantic-structural encoding for compliance risk detection with LLMs.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Hierarchical semantic-structural encoding for compliance risk detection with LLMs

Reference 16

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Observation f72abce9-0858-4de4-83ee-4df86ce1a05f · outbound

This paper cites Pre-trained LanguageModelsandFew-shotLearningforMedicalEntityExtraction.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Pre-trained LanguageModelsandFew-shotLearningforMedicalEntityExtraction

Reference 17

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Observation ddecd7f1-7077-4068-ba23-eaf224cbf58b · outbound

This paper cites Time-Aware and Multi-Source Feature Fusion for Transformer-Based Medical Text Analysis.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Time-Aware and Multi-Source Feature Fusion for Transformer-Based Medical Text Analysis

Reference 18

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Observation 57eccde9-f148-4659-a010-4b7bf586163a · outbound

This paper cites Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Structure-Aware Temporal Modeling for Chronic Disease Progression Prediction

Reference 19

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Observation f1d61c11-f816-4cae-b135-e0c7f98b70a0 · outbound

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

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Joint Modeling of Medical Images and Clinical Text for Early Diabetes Risk Detection

Reference 20

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Observation add18645-0401-49dc-942d-6ff4e64dedd2 · outbound

This paper cites Deep Skin Lesion Segmentation with Transformer-CNN Fusion: Toward Intelligent Skin Cancer Analysis.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Deep Skin Lesion Segmentation with Transformer-CNN Fusion: Toward Intelligent Skin Cancer Analysis

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:42.815733Z

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Observation 1be1a9a4-d355-40b7-aa27-35626cf168fd · outbound

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

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Sequential Recommendation via Time- Aware and Multi-Channel Convolutional User Modeling

Reference 22

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Observation 71387a2a-3822-4478-bd26-b688be7ab8e8 · outbound

This paper cites Analyzing data augmentation techniques for contrastive learning in recommender models.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Analyzing data augmentation techniques for contrastive learning in recommender models

Reference 23

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Observation 615e3368-7b81-47d9-9b54-1d07d209a004 · outbound

This paper cites Knowledge Graph-Infused Fine-Tuning for Structured Reasoning in Large Language Models.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Knowledge Graph-Infused Fine-Tuning for Structured Reasoning in Large Language Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:42.481564Z

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Observation b5f4f227-cdbd-4711-8b5f-14f397a22582 · outbound

This paper cites Layer-Wise Structural Mapping for Efficient Domain Transfer in Language Model Distillation.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Layer-Wise Structural Mapping for Efficient Domain Transfer in Language Model Distillation

Reference 25

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Observation 3003e5bc-f3ba-4f5b-8467-80d19a4d963c · outbound

This paper cites Selective Knowledge Injection via Adapter Modules in Large ‐Scale Language Models.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Selective Knowledge Injection via Adapter Modules in Large ‐Scale Language Models

Reference 26

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Observation 96cfd332-3489-4cc9-99ba-c544a02ddaef · outbound

This paper cites GROM: A generalized routing optimization method with graph neural network and deep reinforcement learning.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks GROM: A generalized routing optimization method with graph neural network and deep reinforcement learning

Reference 27

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Observation 9a09ad64-f9b8-4c08-bfec-14e432b2df82 · outbound

This paper cites Unsupervised Temporal Encoding for Stock Price Prediction throughDual-PhaseLearning.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Unsupervised Temporal Encoding for Stock Price Prediction throughDual-PhaseLearning

Reference 28

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Observation c79e66cd-582d-412e-ad64-3fd0aad1bb24 · outbound

This paper cites Hybrid Deep Learning for Financial Volatility Forecasting: An LSTM-CNN-Transformer Model.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Hybrid Deep Learning for Financial Volatility Forecasting: An LSTM-CNN-Transformer Model

Reference 29

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Observation 49641c04-d426-4af2-8cf5-81929f2b7ffb · outbound

This paper cites Graphreinforcementlearningformulti- aircraft conflict resolution.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Graphreinforcementlearningformulti- aircraft conflict resolution

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.131593Z

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Observation 6055a699-5bb9-476d-ab99-7245152777a0 · outbound

This paper cites Graph Reinforcement Learning in Power Grids: A Survey.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Graph Reinforcement Learning in Power Grids: A Survey

Reference 31

Resolution: verified exact; raw_fallback, observed 2026-08-05T05:48:42.192452Z

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Observation 6dc02ada-1be7-408f-ac61-0209c2edfd80 · outbound

This paper cites Graph Reinforcement and Asynchronous Federated Learning based task offloading in fog computing.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Graph Reinforcement and Asynchronous Federated Learning based task offloading in fog computing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.109150Z

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Observation 7eb35b86-4981-4bfe-9fc8-aa9f80ea2304 · outbound

This paper cites Learning and generating distributed routing protocols using graph-based deep learning.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Learning and generating distributed routing protocols using graph-based deep learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.085742Z

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Observation 37725160-9b56-43c1-b777-915b317d372e · outbound

This paper cites Strategic Cache Allocation via Game-Aware Multi-Agent ReinforcementLearning.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Strategic Cache Allocation via Game-Aware Multi-Agent ReinforcementLearning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.055498Z

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Observation 69027cdb-54f6-4d9f-afe4-d35edd8cc330 · outbound

This paper cites Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:41.797211Z

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Observation 7bae4a92-bc3d-4cff-b9dc-e41377f717cb · outbound

This paper cites Entity-Aware Graph Neural Modeling for Structured Information Extraction in the Financial Domain.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Entity-Aware Graph Neural Modeling for Structured Information Extraction in the Financial Domain

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:48.027783Z

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Observation adf5ae39-6602-4e62-a932-b52d0e329dfc · outbound

This paper cites Selective Noise Injection and Feature Scoring for Unsupervised Request Anomaly Detection.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Selective Noise Injection and Feature Scoring for Unsupervised Request Anomaly Detection

Reference 37

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Observation 3242d6a5-02f0-47e6-ae63-516bac6c4b78 · outbound

This paper cites Privacy-Enhanced FederatedLearningforDistributedHeterogeneousData.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Privacy-Enhanced FederatedLearningforDistributedHeterogeneousData

Reference 38

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Observation 9d57f5b7-9c6c-409b-b1a6-a982fd910224 · outbound

This paper cites AI-Driven Multi-Agent Scheduling and Service Quality Optimization in Microservice Systems.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks AI-Driven Multi-Agent Scheduling and Service Quality Optimization in Microservice Systems

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:47.705330Z

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

This paper cites Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery.

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

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Observation af82d2af-1289-4957-8569-3a0ec0deddef · outbound

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

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks EEG Anomaly Detection Using Temporal Graph Attention for Clinical Applications

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:47.432567Z

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Observation 23ee96fb-f323-48c5-89bb-a3320197e5e2 · outbound

This paper cites Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:47.205197Z

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Observation f46b04e4-54ed-4564-952f-458d30390cb4 · outbound

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

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Single-Device Human Activity Recognition Based on Spatiotemporal Feature Learning Networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:46.939087Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 74d5dc1a-a11c-41b4-96ca-451af5689e74 · outbound

This paper cites Evaluating explainability forgraphneuralnetworks.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Evaluating explainability forgraphneuralnetworks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:46.618941Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4dc28ca6-1b59-4771-9b9d-b560a86e33f1 · outbound

This paper cites GraphNeuralRecognitionofMaliciousUserPatternsinCloud Systems via Attention Optimization.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks GraphNeuralRecognitionofMaliciousUserPatternsinCloud Systems via Attention Optimization

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:46.344161Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 528ba36a-9f0b-4ce4-8d14-407236550cb1 · outbound

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

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:41.337718Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 916aabcf-f1d6-492f-8054-7d659b00d4b5 · outbound

This paper cites OptimizingDistributedComputingResourceswithFederated Learning: Task Scheduling and Communication Efficiency.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks OptimizingDistributedComputingResourceswithFederated Learning: Task Scheduling and Communication Efficiency

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:46.050876Z

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Observation 9040ac01-52e2-48b5-9f6f-50c38983eeed · outbound

This paper cites A Deep LearningFrameworkforSequenceMiningwithBidirectionalLSTMand Multi-Scale Attention.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks A Deep LearningFrameworkforSequenceMiningwithBidirectionalLSTMand Multi-Scale Attention

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:45.723086Z

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Observation fe9f5267-db8d-4253-bd8e-c7afe519b85a · outbound

This paper cites Causal Discriminative Modeling for Robust Cloud Service Fault Detection.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Causal Discriminative Modeling for Robust Cloud Service Fault Detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:45.400522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2a782071-f1c9-4074-a66d-95f51996e2e9 · outbound

This paper cites Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:41.056746Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc5b2a40-1f7c-4fb6-870e-19686e90de7a · outbound

This paper cites ScalableMulti- PartyCollaborativeDataMiningBasedonFederatedLearning.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks ScalableMulti- PartyCollaborativeDataMiningBasedonFederatedLearning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:45.080908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2b7f6fbd-c306-4731-bf9a-4429355059bb · outbound

This paper cites Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services.

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

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3d491d4c-a216-4ace-874f-0a0a51816436 · outbound

This paper cites GDDR: GNN-based data-driven routing.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks GDDR: GNN-based data-driven routing

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:44.746761Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dfdaa60e-10bc-4633-b123-4b58e9dfbd10 · outbound

This paper cites DeepCQ+: Robust and scalable routingwithmulti-agentdeepreinforcementlearningforhighlydynamic networks.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks DeepCQ+: Robust and scalable routingwithmulti-agentdeepreinforcementlearningforhighlydynamic networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:44.410041Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32baffd1-fd0a-49fd-8037-ba8b13171585 · outbound

This paper cites CFR-RL: Traffic engineering with reinforcement learning in SDN.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks CFR-RL: Traffic engineering with reinforcement learning in SDN

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:44.132271Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c124c45f-32fc-4eb4-9437-45a3d013bedd · outbound

This paper cites Graph-based reinforcement learning for software-defined networking traffic engineering.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Graph-based reinforcement learning for software-defined networking traffic engineering

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:48:43.812725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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