Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks | Paper Citation Record

Observation d4091bfd-a85c-4945-97a5-f8d2548a0c80 · outbound

This paper cites Why (and How) Networks Should Run Themselves.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Why (and How) Networks Should Run Themselves

Reference 1

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Observation 7137f826-934f-43b2-b5ba-6c07da7eace9 · outbound

This paper cites Workshop on self-driving networks — workshop report,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Workshop on self-driving networks — workshop report,

Reference 2

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This paper cites Towards nwdaf-enabled analytics and closed-loop automation in 5g networks,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Towards nwdaf-enabled analytics and closed-loop automation in 5g networks,

Reference 3

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This paper cites Toward integrated sensing and communications for 6g: Key enabling technologies, standardization, and challenges,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Toward integrated sensing and communications for 6g: Key enabling technologies, standardization, and challenges,

Reference 4

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This paper cites Intent-driven 6g end-to-end network orchestration,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Intent-driven 6g end-to-end network orchestration,

Reference 5

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Observation 1aa4cb6c-dd76-45a9-9510-dbd58315ed2f · outbound

This paper cites A survey on intent-based networking,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks A survey on intent-based networking,

Reference 6

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Observation 4dc5be3d-98d9-4df1-a0d4-bf97fbc6849f · outbound

This paper cites Intent-Based Networking - Concepts and Definitions,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Intent-Based Networking - Concepts and Definitions,

Reference 7

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Observation ad187605-a82c-4836-9db5-42b7402b36bb · outbound

This paper cites Orchestran: Orchestrat- ing network intelligence in the open ran,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Orchestran: Orchestrat- ing network intelligence in the open ran,

Reference 8

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Observation 0c740e45-225e-46b7-9401-b16d4624004b · outbound

This paper cites A comprehensive survey on network resource management in sdn enabled data centre network,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks A comprehensive survey on network resource management in sdn enabled data centre network,

Reference 9

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Observation 3d30e236-3792-446d-9f57-f5a692dbd1a3 · outbound

This paper cites Intent assurance using llms guided by intent drift,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Intent assurance using llms guided by intent drift,

Reference 10

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Observation 7168387b-c3bf-4413-86c0-ae8af7bd76f1 · outbound

This paper cites Assurance and conflict detection in intent-based networking: A compre- hensive survey and insights on standards and open-source tools,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Assurance and conflict detection in intent-based networking: A compre- hensive survey and insights on standards and open-source tools,

Reference 11

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Observation 9a9f47f2-3815-4f22-84e9-5c817518722a · outbound

This paper cites Kpi assurance and llms for intent- based management,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Kpi assurance and llms for intent- based management,

Reference 12

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Observation 707447e6-1c2b-4373-bebe-394c96a1681f · outbound

This paper cites Network assurance in intent-based net- working data centers with machine learning techniques,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Network assurance in intent-based net- working data centers with machine learning techniques,

Reference 13

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Observation 97fccd4f-e272-40fc-a33f-78c84874713f · outbound

This paper cites Intent-based multi- agent reinforcement learning for service assurance in cellular networks,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Intent-based multi- agent reinforcement learning for service assurance in cellular networks,

Reference 14

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This paper cites Performance analysis of learning-based intent drift detection algorithms in next generation networks,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Performance analysis of learning-based intent drift detection algorithms in next generation networks,

Reference 15

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Observation 7ac720c9-086f-485b-bdc4-687d4fd3353b · outbound

This paper cites Anomaly detection and failure root cause analysis in (micro) service-based cloud applications: A survey,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Anomaly detection and failure root cause analysis in (micro) service-based cloud applications: A survey,

Reference 16

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Observation 0dbaf89c-1798-48c9-8111-a0e0835f0f0f · outbound

This paper cites Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback,

Reference 17

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Observation cac8b816-d616-4837-8012-02f7ad958d48 · outbound

This paper cites Towards understanding the mixture-of-experts layer in deep learning,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Towards understanding the mixture-of-experts layer in deep learning,

Reference 18

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Observation b6679990-8f6e-414f-930c-8727a251bad1 · outbound

This paper cites A unified approach to interpreting model predictions,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks A unified approach to interpreting model predictions,

Reference 19

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Observation f64e6072-0ca9-4b10-afda-ba012fa69e1e · outbound

This paper cites Netintent: Leveraging large language models for end-to-end intent-based sdn automation,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Netintent: Leveraging large language models for end-to-end intent-based sdn automation,

Reference 20

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Observation bfed90de-ebf1-4a21-b796-ba255b7b798d · outbound

This paper cites Opendaylight: A linux foundation collaborative project,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Opendaylight: A linux foundation collaborative project,

Reference 21

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Observation 3444fb86-c79a-422b-9490-938031e9aa8b · outbound

This paper cites Interactivity anomaly detection in remote work scenarios using lstm,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Interactivity anomaly detection in remote work scenarios using lstm,

Reference 22

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Observation 9e0bb77b-d0a7-4862-b64e-2820f7fe05ca · outbound

This paper cites Towards intent assurance: A traffic prediction model for software-defined networks,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Towards intent assurance: A traffic prediction model for software-defined networks,

Reference 23

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Observation 187fde61-fbac-461b-9ce6-40fcf5651e88 · outbound

This paper cites Telecom foundation models: Applications, challenges, and future trends,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Telecom foundation models: Applications, challenges, and future trends,

Reference 24

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Observation e5c27fc1-5bee-4173-b2cf-91f6cfde0ce8 · outbound

This paper cites Lead-drift: Real-time and explainable intent drift detection by learning a data-driven risk score,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Lead-drift: Real-time and explainable intent drift detection by learning a data-driven risk score,

Reference 25

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Observation 5c1d22a1-0a99-4cd4-a9fc-1bcd84145465 · outbound

This paper cites Refined link-level intent drift forecasting through advanced link performance prediction and path similarity ap- proaches,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Refined link-level intent drift forecasting through advanced link performance prediction and path similarity ap- proaches,

Reference 26

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Observation 412add51-9a85-4de8-956e-a1fdf73c67e3 · outbound

This paper cites Autonomous conflict handling in intent-based management,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Autonomous conflict handling in intent-based management,

Reference 27

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Observation 6f9c319b-aab6-4df4-99b8-a58833674dbf · outbound

This paper cites Detecting application transitions and identifying application types for intent- based network assurance: A machine learning perspective,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Detecting application transitions and identifying application types for intent- based network assurance: A machine learning perspective,

Reference 28

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Observation 56d36b91-e99d-4727-8168-0a5f545fe1dd · outbound

This paper cites Microrca: Root cause localization of performance issues in microservices,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Microrca: Root cause localization of performance issues in microservices,

Reference 29

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Observation 39d20027-feb5-4f3d-8caf-6afd4bd0445f · outbound

This paper cites Causeinfer: Automated end-to-end perfor- mance diagnosis with hierarchical causality graph in cloud environment,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Causeinfer: Automated end-to-end perfor- mance diagnosis with hierarchical causality graph in cloud environment,

Reference 30

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Observation e37d69c8-5bf3-446b-83d3-6f0d712ba5d3 · outbound

This paper cites Microrca-agent: Microservice root cause analysis method based on large language model agents,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Microrca-agent: Microservice root cause analysis method based on large language model agents,

Reference 31

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This paper cites Tamo:fine-grained root cause analysis via tool-assisted llm agent with multi-modality observation data in cloud-native systems,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Tamo:fine-grained root cause analysis via tool-assisted llm agent with multi-modality observation data in cloud-native systems,

Reference 32

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Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Towards zero downtime: Using machine learning to predict network failure in 5g and beyond,

Reference 33

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This paper cites A predictive maintenance methodology: Predicting the time-to-failure of machines in industry 4.0,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks A predictive maintenance methodology: Predicting the time-to-failure of machines in industry 4.0,

Reference 34

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This paper cites Mild: Multi-intent learning and disambiguation for proactive failure prediction in intent-based networking,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Mild: Multi-intent learning and disambiguation for proactive failure prediction in intent-based networking,

Reference 35

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Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Focal loss for dense object detection,

Reference 36

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This paper cites Distilling the Knowledge in a Neural Network.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Distilling the Knowledge in a Neural Network

Reference 37

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Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Re- ducing overfitting in deep networks by decorrelating representations,

Reference 38

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Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Unresolved cited work

Reference 39

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This paper cites Deep Learning for Multi-Label Learning: A Comprehensive Survey.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Deep Learning for Multi-Label Learning: A Comprehensive Survey

Reference 40

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This paper cites A deep neural network-based multi- label classifier for sla violation prediction in a latency sensitive nfv application,.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks A deep neural network-based multi- label classifier for sla violation prediction in a latency sensitive nfv application,

Reference 41

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Observation 893b7976-b405-412c-8430-6b7ffd23f7cd · outbound

This paper cites Mild: Multi-intent learning and disambiguation for proactive failure prediction in intent-based networking.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Mild: Multi-intent learning and disambiguation for proactive failure prediction in intent-based networking

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T00:59:24.957921Z

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Observation 68a07d19-f89d-4965-b464-94e84345bdf2 · outbound

This paper cites Towards NWDAF-enabled Analytics and Closed-Loop Automation in 5G Networks.

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks Towards NWDAF-enabled Analytics and Closed-Loop Automation in 5G Networks

Reference 2025

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