Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:12:08.489897Z
Paper Citation Record · LEDGER
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting
As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2608.08332.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact3
- verified fuzzy41
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 62407353-942f-4c17-98af-831ba3b92d6d · outbound
This paper cites Zero touch management: A survey of network automation solutions for 5g and 6g networks.IEEE Communications Surveys & Tutorials, 24(4):2535–2578, 2022.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Zero touch management: A survey of network automation solutions for 5g and 6g networks.IEEE Communications Surveys & Tutorials, 24(4):2535–2578, 2022
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.170371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation df906aa5-c6cd-490f-b7c2-c810cf05d059 · outbound
This paper cites Iot connections outlook, 2026.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Iot connections outlook, 2026
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.160019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0e36ec85-a9ac-4ab7-a09b-70efa3dc3234 · outbound
This paper cites Avoiding sdn application conflicts with digital twins: Design, models and proof of concept.IEEE Transactions on Network and Service Management, 23:2038–2050, 2026.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Avoiding sdn application conflicts with digital twins: Design, models and proof of concept.IEEE Transactions on Network and Service Management, 23:2038–2050, 2026
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.149334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4d261f28-e194-411b-b932-a6855928aaaf · outbound
This paper cites A survey on deep learning for cellular traffic prediction.Intelligent Computing, 3:0054, 2024.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting A survey on deep learning for cellular traffic prediction.Intelligent Computing, 3:0054, 2024
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.137994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d82e7390-b1a5-461e-b903-31f037ec9f37 · outbound
This paper cites Spatio-temporal wireless traffic prediction with recurrent neural network.IEEE Wireless Communications Letters, 7(4):554–557, 2018.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Spatio-temporal wireless traffic prediction with recurrent neural network.IEEE Wireless Communications Letters, 7(4):554–557, 2018
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.126253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b576627c-f073-4130-bf35-1c40c6d31503 · outbound
This paper cites When 5g meets deep learning: a systematic review.Algorithms, 13(9):208, 2020.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting When 5g meets deep learning: a systematic review.Algorithms, 13(9):208, 2020
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.114436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ab65a394-fe4c-4715-956a-d843a2e9644e · outbound
This paper cites Hussien, Heba Nashaat, and Rehab F.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Hussien, Heba Nashaat, and Rehab F
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.102102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e98c3477-afbd-4252-a9ca-e542c1cf9ce6 · outbound
This paper cites En- hanced multi-task traffic forecasting in beyond 5g networks: Leveraging transformer technology and multi-source data fusion.Future Internet, 16(5):159, 2024.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting En- hanced multi-task traffic forecasting in beyond 5g networks: Leveraging transformer technology and multi-source data fusion.Future Internet, 16(5):159, 2024
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.089981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2743e9ce-2ca4-4864-88df-8b94ffdf2f03 · outbound
This paper cites Chetty, David Grace, and Hamed Ahmadi.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Chetty, David Grace, and Hamed Ahmadi
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.077830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cbd3aa9e-20f5-4a8c-bc77-4773eff55582 · outbound
This paper cites Cost-Effective Retraining of Machine Learning Models.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Cost-Effective Retraining of Machine Learning Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:12:08.329158Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82c3daf8-5a25-41c9-a468-a511fd65b2d3 · outbound
This paper cites A survey on big data for network traffic monitoring and analysis.IEEE Transactions on Network and Service Management, 16(3):800–813, 2019.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting A survey on big data for network traffic monitoring and analysis.IEEE Transactions on Network and Service Management, 16(3):800–813, 2019
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.067523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 91a67848-e16f-48da-b7ad-95038587c70d · outbound
This paper cites Generative-AI for AI/ML Model Adaptive Retraining in Beyond 5G Networks.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Generative-AI for AI/ML Model Adaptive Retraining in Beyond 5G Networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:12:08.337203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51852625-8bc5-4269-bfff-f4cd381ab0d1 · outbound
This paper cites Do global forecasting models require frequent retraining? University of Milan Bicocca Department of Economics, Management and Statistics Working Paper, (551), 2025.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Do global forecasting models require frequent retraining? University of Milan Bicocca Department of Economics, Management and Statistics Working Paper, (551), 2025
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.056727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0f147ce1-e3fe-491c-81c2-c33e6f08c082 · outbound
This paper cites Short-term mobile network traffic forecasting using seasonal arima and holt-winters models.Future Internet, 15(9):290, 2023.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Short-term mobile network traffic forecasting using seasonal arima and holt-winters models.Future Internet, 15(9):290, 2023
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.045653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a1ca8fe1-0020-4fdb-b917-293ac04c1b8d · outbound
This paper cites An Abstracted Survey on 6G: Drivers, Requirements, Efforts, and Enablers.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting An Abstracted Survey on 6G: Drivers, Requirements, Efforts, and Enablers
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T00:12:08.577536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f3ba3924-759f-45c6-abc9-51deeb412b06 · outbound
This paper cites Intelligent resource orchestration for 5g edge infrastructures.Future Internet, 16(3):103, 2024.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Intelligent resource orchestration for 5g edge infrastructures.Future Internet, 16(3):103, 2024
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.032989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 743b4d86-8ae4-4f90-bcc6-c56e800877f5 · outbound
This paper cites Intelligent management at the edge.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Intelligent management at the edge
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.020911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a79d5f90-abc5-4153-8ce3-ff7a7b537fdd · outbound
This paper cites A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T00:12:08.561648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 45f9e9e4-5bea-470b-b012-943bfb369dd3 · outbound
This paper cites FLEXIBLE: Forecasting cellular traffic by leveraging explicit inductive graph-based learning.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting FLEXIBLE: Forecasting cellular traffic by leveraging explicit inductive graph-based learning
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:09.010554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6940eefd-1551-4491-a32c-4c66ff3115aa · outbound
This paper cites Spatio- temporal beam-level traffic forecasting in 5g wireless systems us- ing multi-task learning.Frontiers in Communications and Networks, 6:1658461, 2025.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Spatio- temporal beam-level traffic forecasting in 5g wireless systems us- ing multi-task learning.Frontiers in Communications and Networks, 6:1658461, 2025
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.999694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 15733698-9bb4-427c-80fa-cfa3008f38bc · outbound
This paper cites Spatial-temporal cellular traffic prediction for 5g and beyond: A graph neural networks-based approach.IEEE Transactions on Industrial Informatics, 19(4):5722–5731, 2022.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Spatial-temporal cellular traffic prediction for 5g and beyond: A graph neural networks-based approach.IEEE Transactions on Industrial Informatics, 19(4):5722–5731, 2022
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.989154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation afb5a17a-ed8c-4172-9d92-a7ca329a8240 · outbound
This paper cites Spatio- temporal graph learning: Traffic flow prediction of mobile edge com- puting in 5g/6g vehicular networks.Computer Networks, 252:110676, 2024.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Spatio- temporal graph learning: Traffic flow prediction of mobile edge com- puting in 5g/6g vehicular networks.Computer Networks, 252:110676, 2024
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.977892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5e1dabbe-bc57-4883-ac82-759cd39a9205 · outbound
This paper cites Spatio-temporal graph neural network for real-time network traffic prediction and adaptive resource allocation in 6g networks.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Spatio-temporal graph neural network for real-time network traffic prediction and adaptive resource allocation in 6g networks
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.966238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7b1fdceb-df11-4952-b3d3-5443dde28090 · outbound
This paper cites HiSTM: Hierarchical spatiotemporal mamba for cellular traffic fore- casting.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting HiSTM: Hierarchical spatiotemporal mamba for cellular traffic fore- casting
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.954134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f3d3ba1b-0098-4065-85e4-7c320836b218 · outbound
This paper cites A survey on concept drift adaptation.ACM Computing Surveys, 46(4):44:1–44:37, 2014.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting A survey on concept drift adaptation.ACM Computing Surveys, 46(4):44:1–44:37, 2014
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.943722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d331095f-a3db-4634-90f3-3eded4d1a9fa · outbound
This paper cites A novel adaptive concept drift detection approach for evolving network traffic patterns.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting A novel adaptive concept drift detection approach for evolving network traffic patterns
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.929915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 394d9473-0f0c-4c5f-96ac-ee0738cd07a9 · outbound
This paper cites Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T00:12:08.539689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d1c133e9-924f-4ed0-b9ad-376cddd094fc · outbound
This paper cites Quantifying concept drifting in network traffic using roc curves from naive bayes classifiers.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Quantifying concept drifting in network traffic using roc curves from naive bayes classifiers
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.918986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 460bff52-a181-4790-b343-19ba6f5bd3c2 · outbound
This paper cites Cost-aware retraining for machine learning.Knowledge-Based Systems, 293:111610, 2024.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Cost-aware retraining for machine learning.Knowledge-Based Systems, 293:111610, 2024
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.905605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ca6fed3d-1b1b-4010-9ad6-a7795840a9a6 · outbound
This paper cites Peter Zhang.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Peter Zhang
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.894118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation afede657-4f7a-4b6f-bea2-136b8527f989 · outbound
This paper cites Residual correction in real-time traffic forecasting.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Residual correction in real-time traffic forecasting
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.882179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 210a2efa-abeb-404c-8e32-609c6bad982b · outbound
This paper cites The forecast after the forecast: A post- processing shift in time series.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting The forecast after the forecast: A post- processing shift in time series
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.870428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b3b03590-6195-405d-85c9-e9fc624c1357 · outbound
This paper cites an unresolved cited work.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T00:12:08.857183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3efd57a6-ec28-4bcb-87f1-3a0b4fdc8218 · outbound
This paper cites A predictive approach to enhance time-series forecasting.Nature Communications, 16:8645, 2025.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting A predictive approach to enhance time-series forecasting.Nature Communications, 16:8645, 2025
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.841983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 24d8b663-7138-4ca9-9528-107b983efe54 · outbound
This paper cites PID control.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting PID control
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.827089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7e97c0ce-6258-4720-a66b-f63df22b9b74 · outbound
This paper cites PID control.IEEE Control Systems Magazine, 26(1):30– 31, 2006.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting PID control.IEEE Control Systems Magazine, 26(1):30– 31, 2006
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.812201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 185ac508-7b7b-45e3-8e0d-6e75ede267a2 · outbound
This paper cites Johnson and Mohammad H.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Johnson and Mohammad H
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.798446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation decd7081-3569-4893-8dba-55abf087a7a0 · outbound
This paper cites Building network digital twins part i: State synchronization.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Building network digital twins part i: State synchronization
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.787169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f7389108-c3ff-435e-b1c7-901540f56b38 · outbound
This paper cites an unresolved cited work.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T00:12:08.771376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3465ec5b-2044-4c8f-8998-7349d5116015 · outbound
This paper cites Springer, 2020.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Springer, 2020
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.756696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0e6c41be-6654-4735-ba82-49664af1994e · outbound
This paper cites Alfaro and Ramon Vilanova.Model-Reference Robust Tuning of PID Controllers.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Alfaro and Ramon Vilanova.Model-Reference Robust Tuning of PID Controllers
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.744318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0381014f-b1d1-4d1c-ae78-d7ff793867d5 · outbound
This paper cites Cell-specific association for heterogeneous networks with interference control.IEICE Transactions on Communications, E98.B(4):653–660, 2015.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Cell-specific association for heterogeneous networks with interference control.IEICE Transactions on Communications, E98.B(4):653–660, 2015
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.731150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 02bd070e-39df-4f40-8c5e-de739a0f2632 · outbound
This paper cites an unresolved cited work.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T00:12:08.718494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 74dfc0aa-9292-4863-a689-261999a79f42 · outbound
This paper cites Optuna: A next-generation hyperparameter optimiza- tion framework.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Optuna: A next-generation hyperparameter optimiza- tion framework
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.703055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b828cec2-a1a3-42e7-8b10-c934e969dba3 · outbound
This paper cites Algorithms for hyper-parameter optimization.Advances in neural information processing systems, 24, 2011.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Algorithms for hyper-parameter optimization.Advances in neural information processing systems, 24, 2011
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.687218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9a32d88b-2d01-43d9-87e1-a4f25d389f43 · outbound
This paper cites Spatial pde-aware selective state-space with nested memory for mobile traffic grid forecasting.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Spatial pde-aware selective state-space with nested memory for mobile traffic grid forecasting
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.671323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dd5ec6f8-8f30-4a3f-8410-e82f0adea796 · outbound
This paper cites A multi-source dataset of urban life in the city of milan and the province of trentino.Scientific data, 2(1):150055, 2015.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting A multi-source dataset of urban life in the city of milan and the province of trentino.Scientific data, 2(1):150055, 2015
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.658154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f9a6fded-a541-4e83-9a8b-9adb3fec390b · outbound
This paper cites Clustering in the presence of concept drift.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Clustering in the presence of concept drift
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.640186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 37fd475a-b071-4940-bf4d-074d8dc707fe · outbound
This paper cites Root mean square error (rmse) or mean absolute error (mae)?–arguments against avoiding rmse in the literature.Geoscientific model development, 7(3):1247–1250, 2014.
Lightweight PID-Based Drift Mitigation for Cellular Traffic Forecasting Root mean square error (rmse) or mean absolute error (mae)?–arguments against avoiding rmse in the literature.Geoscientific model development, 7(3):1247–1250, 2014
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T00:12:08.621562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.