Paper Citation Record · LEDGER

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum

As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.09787.

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

pith.paper-citation-record.v1
2606.09787 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:21:09.024245Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy0
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a47273c9-d864-441d-a806-bf7fd57eab82 · outbound

This paper cites Timetrack: A dataset for exploring temporal patterns and predictive insights into openairinterface (oai) ci/cd cluster.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Timetrack: A dataset for exploring temporal patterns and predictive insights into openairinterface (oai) ci/cd cluster

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1da32d0a-42cb-49ca-9b26-2341dd0e4229 · outbound

This paper cites Ai-native cecc management architecture: Enabling scalable and intelligent cloud-edge computing.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Ai-native cecc management architecture: Enabling scalable and intelligent cloud-edge computing

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 572a28fb-c5a2-42cb-83a4-42e2d37ac2b9 · outbound

This paper cites Resiliency focused proactive lifecycle management for stateful microservices in multi-cluster containerized environments.Computer Communications, 236:108111, 2025.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Resiliency focused proactive lifecycle management for stateful microservices in multi-cluster containerized environments.Computer Communications, 236:108111, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c6c1092-cf69-4bb2-9e9f-7909cd2f12ed · outbound

This paper cites Layer-reuse aware optimization for efficient microservice migration in uav edge systems.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Layer-reuse aware optimization for efficient microservice migration in uav edge systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 971623ef-cc1b-4d51-bc85-462d87773175 · outbound

This paper cites Lightweight resource exposure framework for efficient service and resource orchestration in the cloud-edge continuum.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Lightweight resource exposure framework for efficient service and resource orchestration in the cloud-edge continuum

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2856301-30f9-4bb6-a427-87822e22fb89 · outbound

This paper cites OpenAirInterface: 5G Software Alliance for Democratising Wireless Innovation, 2023.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum OpenAirInterface: 5G Software Alliance for Democratising Wireless Innovation, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 633ffcbc-f29d-4d41-97ed-0f67325e488a · outbound

This paper cites OpenAirInterface Ci/Cd webpage, 2023.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum OpenAirInterface Ci/Cd webpage, 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b491fd34-08f2-43a7-a6bc-730259914f24 · outbound

This paper cites an unresolved cited work.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e2188a8-b2f9-46fe-b39c-ba9965959588 · outbound

This paper cites A review of neural architecture search.Neurocomput- ing, 474:82–93, 2022.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum A review of neural architecture search.Neurocomput- ing, 474:82–93, 2022

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b4a6da0-718e-4468-8a64-7eaeb9f45d67 · outbound

This paper cites Timetrack: Openairinterface (oai) ci/cd time series dataset, 2025.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Timetrack: Openairinterface (oai) ci/cd time series dataset, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a6e33e-54f9-4878-891e-1b05a50036d4 · outbound

This paper cites Timetrack: Openairinterface (oai) ci/cd time series dataset, 2025.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Timetrack: Openairinterface (oai) ci/cd time series dataset, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f833488-5a40-43fe-b10d-43bb292e5b5a · outbound

This paper cites Grid Workloads Archive GW A-T-13-Materna.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Grid Workloads Archive GW A-T-13-Materna

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a8f0cb6-97f4-49f8-a6c5-44bb4866b80a · outbound

This paper cites Google Cluster Data 2019, 2019.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Google Cluster Data 2019, 2019

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb4ee23-a9bd-4705-a7fb-7469a39bbdf9 · outbound

This paper cites Microsoft Azure Public Dataset V1, 2019.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Microsoft Azure Public Dataset V1, 2019

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bcc0d5f-54d6-4dd6-a9a4-ee3ddfade18a · outbound

This paper cites Alibaba Cluster Trace v2018, 2018.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Alibaba Cluster Trace v2018, 2018

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 763ad074-abc9-407f-9db2-3a4d2656c8e6 · outbound

This paper cites Microsoft Azure Public Dataset V2, 2020.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Microsoft Azure Public Dataset V2, 2020

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e752469-4ead-4c76-b47c-9ef1bf17553d · outbound

This paper cites Mai et al.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Mai et al

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7ed13c0-f09a-4e67-b85f-6b4dd97e3ea8 · outbound

This paper cites PhD thesis, ETH Zurich, 2019.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum PhD thesis, ETH Zurich, 2019

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a5e245-210c-49bd-8d03-1f74f1899036 · outbound

This paper cites Effects of resampled data on time series forecasting accuracy.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Effects of resampled data on time series forecasting accuracy

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ca97ac-ffac-4bcc-9647-93d730d7fd29 · outbound

This paper cites Deep learning.Nature, 521(7553):436–444, May 2015.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Deep learning.Nature, 521(7553):436–444, May 2015

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1b429e1-b366-4346-bb5e-c9e4f9e440fc · outbound

This paper cites Long short-term memory.Neural Computation, 9(8):1735–1780, 11 1997.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Long short-term memory.Neural Computation, 9(8):1735–1780, 11 1997

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0549c4b9-7e8c-4138-a059-8a9204e4eb30 · outbound

This paper cites What is mlops? InBeginning MLOps with MLFlow: Deploy Models in A WS SageMaker , Google Cloud, and Microsoft Azure, pages 79–124.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum What is mlops? InBeginning MLOps with MLFlow: Deploy Models in A WS SageMaker , Google Cloud, and Microsoft Azure, pages 79–124

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 150df58a-b5c8-4ca5-a5ff-30d259c3151c · outbound

This paper cites Automl to date and beyond: Challenges and opportunities.Acm computing surveys (csur), 54(8):1–36, 2021.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Automl to date and beyond: Challenges and opportunities.Acm computing surveys (csur), 54(8):1–36, 2021

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c442fc10-946e-444e-8500-ed058ec08ec7 · outbound

This paper cites Decor: A distributed coordinated resource monitoring system.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Decor: A distributed coordinated resource monitoring system

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8f75f5-0fdd-41b7-85ee-7f017dc59c72 · outbound

This paper cites Dprof-distributed system profiling and tracing.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Dprof-distributed system profiling and tracing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672b604f-da01-4e9e-9182-4e3cd4a7166f · outbound

This paper cites A scalable monitoring framework for network slicing in 5g and beyond mobile networks.IEEE Transactions on Network and Service Management, 19(1):413–423, 2022.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum A scalable monitoring framework for network slicing in 5g and beyond mobile networks.IEEE Transactions on Network and Service Management, 19(1):413–423, 2022

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b36fc1de-bb83-4d42-a19f-686a4199cf77 · outbound

This paper cites Contreras, Jordi Ros-Giralt, and Roland Schott.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Contreras, Jordi Ros-Giralt, and Roland Schott

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a007e467-3f3a-4d21-a022-b97d016b280f · outbound

This paper cites Prometheus: Monitoring system and time series database, n.d.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Prometheus: Monitoring system and time series database, n.d

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

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Unavailable: canonical work link unavailable.

Observation 4fbbfcbb-c214-488a-8a5e-683bdeaeb25f · outbound

This paper cites Nagios - the industry standard in it infrastructure monitoring, 2024.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Nagios - the industry standard in it infrastructure monitoring, 2024

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

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Unavailable: canonical work link unavailable.

Observation cd1132f2-1731-42d7-91d7-9b9e66762c64 · outbound

This paper cites Neural Network Intelligence, 1 2021.

Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum Neural Network Intelligence, 1 2021

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T17:21:09.024245Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.