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Paper Citation Record · LEDGER

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks

As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1908.08338.

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

pith.paper-citation-record.v1
1908.08338 v2

Coverage vector

measured 33 of 33 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-14T11:48:10.415409Z

measured 33 of 33 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation a34f76d4-6380-4c7e-924f-eeed929b9cda · outbound

This paper cites View on 5G Architecture,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks View on 5G Architecture,

Reference 1

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Observation 781741e7-28d1-48a1-bffa-6811cbc425de · outbound

This paper cites What is Network Slicing?,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks What is Network Slicing?,

Reference 2

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Observation 51d0ff48-cad5-475a-8c4e-4f1d9ed8337c · outbound

This paper cites Nokia Claims Network Slicing for the Fixed Network,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Nokia Claims Network Slicing for the Fixed Network,

Reference 3

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Observation 5faf0561-a669-4bc8-a90f-2e2e7fa4f478 · outbound

This paper cites Service Function Chaining (SFC) and Network Slicing in Backhaul and Metro Networks in Support of 5G,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Service Function Chaining (SFC) and Network Slicing in Backhaul and Metro Networks in Support of 5G,

Reference 4

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Observation bc62a512-c765-4b72-a5d0-5572f0f49e8a · outbound

This paper cites SON (Self- Organizing Networks) in the 5G Era: 20192030 Opportunities, Chal- lenges, Strategies & Forecasts,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks SON (Self- Organizing Networks) in the 5G Era: 20192030 Opportunities, Chal- lenges, Strategies & Forecasts,

Reference 5

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Observation 7037bd9b-b4a5-40fa-808d-93847a405551 · outbound

This paper cites Multi-tenant 5G Network Slicing Architecture with Dynamic Deployment of Virtualized Tenant Management and Orchestra- tion (MANO) Instances,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Multi-tenant 5G Network Slicing Architecture with Dynamic Deployment of Virtualized Tenant Management and Orchestra- tion (MANO) Instances,

Reference 6

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Observation d8cee41f-a40a-4509-82a3-31132f26fde0 · outbound

This paper cites Demonstration of Resource Orchestration Using Big Data Analytics for Dynamic Slicing in 5G Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Demonstration of Resource Orchestration Using Big Data Analytics for Dynamic Slicing in 5G Networks,

Reference 7

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Observation 728abc79-ca47-489f-af0f-fe7cd4931ce8 · outbound

This paper cites Network Orchestration for Dynamic Network Slicing for Fixed and Mobile Vertical Services,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Network Orchestration for Dynamic Network Slicing for Fixed and Mobile Vertical Services,

Reference 8

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Observation 831d7caf-02fa-497b-b6da-9ce1f784b164 · outbound

This paper cites Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey,

Reference 9

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Observation 73714f99-7222-4c09-a01b-d36cd74cb658 · outbound

This paper cites An Overview on Application of Machine Learning Techniques in Optical Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks An Overview on Application of Machine Learning Techniques in Optical Networks,

Reference 10

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Observation ee477802-8f00-4447-8152-fd219001fc4a · outbound

This paper cites Knowledge-Based Autonomous Service Provisioning in Multi-Domain Elastic Optical Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Knowledge-Based Autonomous Service Provisioning in Multi-Domain Elastic Optical Networks,

Reference 11

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Observation 069c8b06-3bb9-4a1e-badd-24115dcfe5e5 · outbound

This paper cites Matheuristic with Machine-learning-based Prediction for Software-defined Mobile Metro-core Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Matheuristic with Machine-learning-based Prediction for Software-defined Mobile Metro-core Networks,

Reference 12

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Observation b1f55c0c-79a2-4695-84aa-108d00a0e184 · outbound

This paper cites Virtual Network Topology Adaptability based on Data Analytics for Traffic Prediction,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Virtual Network Topology Adaptability based on Data Analytics for Traffic Prediction,

Reference 13

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Observation aae319fe-9d61-4b55-a733-5d5abf622213 · outbound

This paper cites On Learning Bandwidth Allocation Models for Time-Varying Traffic in Flexible Optical Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks On Learning Bandwidth Allocation Models for Time-Varying Traffic in Flexible Optical Networks,

Reference 14

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 013eb179-21c9-4fe4-9f57-68f7015a67f3 · outbound

This paper cites A Data-driven Bandwidth Allocation Frame- work with QoS Considerations for EONs,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks A Data-driven Bandwidth Allocation Frame- work with QoS Considerations for EONs,

Reference 15

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Observation 1640f9f3-13cd-46f6-af2d-74b48060f7db · outbound

This paper cites Leveraging Statistical Machine Learning to Address Failure Localization in Optical Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Leveraging Statistical Machine Learning to Address Failure Localization in Optical Networks,

Reference 16

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Observation df15ca29-e9ed-47e7-bee4-3f8942567e89 · outbound

This paper cites Learning from the Optical Spectrum: Failure De- tection and Identification.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Learning from the Optical Spectrum: Failure De- tection and Identification

Reference 17

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Observation 3f350d75-3bb2-48c6-8de2-dda0b0f9284b · outbound

This paper cites Machine-Learning-Based Soft-Failure Detection and Identification in Optical Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Machine-Learning-Based Soft-Failure Detection and Identification in Optical Networks,

Reference 18

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Observation f8dce4b8-dcc0-4abf-9cd9-f00b647377a2 · outbound

This paper cites First Demonstration of Imbalanced Data Learning-Based Failure Prediction in Self-Optimizing Optical Networks with Large Scale Field Topology,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks First Demonstration of Imbalanced Data Learning-Based Failure Prediction in Self-Optimizing Optical Networks with Large Scale Field Topology,

Reference 19

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c76bb491-5b9a-4b63-a50d-493d4bd8c477 · outbound

This paper cites Field Demonstration of Machine-Learning-Aided Detection and Identification of Jamming Attacks in Optical Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Field Demonstration of Machine-Learning-Aided Detection and Identification of Jamming Attacks in Optical Networks,

Reference 20

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source=pdf_text observed=2026-08-14T11:48:10.358388Z digest=sha256:c79a3a62da983581d79830fa3193109b8042a212ccf57cbb32afd9c8c1f44bd4

Observation ae1e83d8-f06a-4d4d-9db1-8f6d7e15f87e · outbound

This paper cites Performance Analysis of a Data-driven Quality-of- transmission Decision Approach on a Dynamic Multicast-capable Metro Optical Network,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Performance Analysis of a Data-driven Quality-of- transmission Decision Approach on a Dynamic Multicast-capable Metro Optical Network,

Reference 21

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T11:48:10.362884Z digest=sha256:d653b8202ff3178ec67074ecd95980a9ff4f327c4bc44d9b0e070069eb7d8b10

Observation 0af39092-335e-40e0-944e-76d87777c80b · outbound

This paper cites Machine Learning for QoT Estimation of Unseen Optical Network States,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Machine Learning for QoT Estimation of Unseen Optical Network States,

Reference 22

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Observation 2c8ae6ef-4abb-41fb-8065-d127535baf48 · outbound

This paper cites Machine Learning Models for Estimating Quality of Transmission in DWDM Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Machine Learning Models for Estimating Quality of Transmission in DWDM Networks,

Reference 23

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source=pdf_text observed=2026-08-14T11:48:10.372101Z digest=sha256:1c16917e190a23204f5a173f80c547aa9907db15b6bc2054242eb1a4bcb7a7f3

Observation 8f062039-6f7e-4428-b4cf-9248e91d3732 · outbound

This paper cites Supervised Machine Learning Techniques for Quality of Transmission Assessment in Optical Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Supervised Machine Learning Techniques for Quality of Transmission Assessment in Optical Networks,

Reference 24

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Observation 050af564-81c2-44b3-8a80-193e304cf7ab · outbound

This paper cites Machine-learning Method for Quality of Transmis- sion Prediction of Unestablished Lightpaths,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Machine-learning Method for Quality of Transmis- sion Prediction of Unestablished Lightpaths,

Reference 25

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b8686386-0a5c-4714-be05-26125443f436 · outbound

This paper cites Service Level Agreement and Provisioning in Optical Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Service Level Agreement and Provisioning in Optical Networks,

Reference 26

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Observation dfc93501-4569-434e-b45d-7fec1459fee0 · outbound

This paper cites Data-driven Network Analytics and Network Optimisa- tion in SDN-based Programmable Optical Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Data-driven Network Analytics and Network Optimisa- tion in SDN-based Programmable Optical Networks,

Reference 27

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source=pdf_text observed=2026-08-14T11:48:10.389180Z digest=sha256:89f033aa5e61ba8b7aa7701c1a0c0facd55eefe7799ee6e160471659b90f8baa

Observation f59e9c09-7270-4dd9-80b9-6b5842842a62 · outbound

This paper cites Section 24.3: Dijkstra’s algorithm.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Section 24.3: Dijkstra’s algorithm

Reference 28

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source=pdf_text observed=2026-08-14T11:48:10.393572Z digest=sha256:251c4cfe18cd170b875d386fd48d64fa88ddab5d196aa02ca30f1a095ac4d0b6

Observation 0de987f3-727f-43be-8b53-0fc17fc3976f · outbound

This paper cites Physical-Layer-Aware Performance Evaluation of SDM Networks Based on SMF Bundles, MCFs, and FMFs,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Physical-Layer-Aware Performance Evaluation of SDM Networks Based on SMF Bundles, MCFs, and FMFs,

Reference 29

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T11:48:10.397872Z digest=sha256:bf7c6a9c8d5ec67e5c701a1bc8306fc64a9c8846d8dfc3986f693c907013aa7c

Observation 886d8525-6895-4632-94ff-f07044ad7dfb · outbound

This paper cites Experimental Demonstration of Cognitive Provi- sioning and Alien Wavelength Monitoring in Multi-domain EON.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Experimental Demonstration of Cognitive Provi- sioning and Alien Wavelength Monitoring in Multi-domain EON

Reference 30

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T11:48:10.402504Z digest=sha256:a9df226ff79f55b9cd810859edb9c810e1d9f3ae7f783885363b03ead034d063

Observation a2aa180c-557b-4ab9-820f-62bdcd1139a5 · outbound

This paper cites ANN-Based Transfer Learning for QoT Prediction in Real-Time Mixed Line-Rate Systems,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks ANN-Based Transfer Learning for QoT Prediction in Real-Time Mixed Line-Rate Systems,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T11:48:10.406811Z digest=sha256:2793fdc456cc9a4240a382897304f8ef70df6c7b1a93d528a3c59efe0bbae999

Observation aabb0ffe-4403-42f8-bf09-7d11664a5ed6 · outbound

This paper cites Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Using Active Learning to Decrease Probes for QoT Estimation in Optical Networks,

Reference 32

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raw_fallback, observed 2026-08-14T11:48:10.467447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T11:48:10.411127Z digest=sha256:9f4885032c8d941e12868ac80e4ef8a7d9e01d601157434ecfa9bb69226966c0

Observation 6f3b3163-f4bb-41c9-b352-46d0e1c38e5c · outbound

This paper cites Adam: A Method for Stochastic Optimization,.

Centralized and Distributed Machine Learning-Based QoT Estimation for Sliceable Optical Networks Adam: A Method for Stochastic Optimization,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:48:10.451949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T11:48:10.415409Z digest=sha256:99bcab34c86708a4069f53d0a673a36ec36d34fee69d775c133043e339ba6147

Pith citing papers

No inbound Pith citation observations are available.