Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:06:24.656279Z
Paper Citation Record · LEDGER
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions
As of 19 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2509.08214.
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 2026-08-19T06:32:44.657259+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
47 of 47 outbound references displayed
- verified exact5
- verified fuzzy34
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2b6abbbb-d076-474b-b685-c8088c92a250 · outbound
This paper cites an unresolved cited work.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:06:26.362407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 437bacfe-6f78-4d43-9df5-862386832621 · outbound
This paper cites Time-series clustering – A decade review.Information Systems, 53:16–38, October 2015.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Time-series clustering – A decade review.Information Systems, 53:16–38, October 2015
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.351921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a244925a-af01-424e-bd99-252f7b8f472b · outbound
This paper cites an unresolved cited work.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:06:26.340808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3ce52745-112d-4390-9dea-634726d6a334 · outbound
This paper cites Assimakopoulos and K.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Assimakopoulos and K
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.329310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a82c2bb8-74c5-470a-a2e0-a4c3a7a1da9f · outbound
This paper cites an unresolved cited work.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:06:26.319138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 064fe225-a31e-45a3-95c7-f46a2bc62089 · outbound
This paper cites an unresolved cited work.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:06:26.308427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0d6a379f-d5fc-452e-a3ae-3f7a5e88c16c · outbound
This paper cites Carney, P.
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.298262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f1451fd3-e4cd-47bd-87c6-f8e6145776ad · outbound
This paper cites Model-based clustering with Hidden Markov Model regression for time series with regime changes.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Model-based clustering with Hidden Markov Model regression for time series with regime changes
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.287238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a896fb13-1dbc-4c0a-9b35-208aa2dca17a · outbound
This paper cites Calculating Interval Forecasts.Journal of Business & Economic Statistics, 11(2):121–135, April 1993.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Calculating Interval Forecasts.Journal of Business & Economic Statistics, 11(2):121–135, April 1993
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.276306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0026bfcb-121e-4bef-ab21-2efdae4572ce · outbound
This paper cites XGBoost: A Scalable Tree Boosting System.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions XGBoost: A Scalable Tree Boosting System
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.265292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 72808b13-06ea-4988-8ba4-c5488b4bf742 · outbound
This paper cites Research on the Urban Bike-sharing Usage based on ARIMA Model.Transactions on Computer Science and Intelligent Systems Research, 5:166–172, August 2024.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Research on the Urban Bike-sharing Usage based on ARIMA Model.Transactions on Computer Science and Intelligent Systems Research, 5:166–172, August 2024
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.254900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dfbc97ee-6f0a-4a26-bdb5-4960785dbb1e · outbound
This paper cites ACS 5 Year Data by Ward, February 2025.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions ACS 5 Year Data by Ward, February 2025
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.244133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bf52c097-8568-4219-9aa0-eeb395d3d520 · outbound
This paper cites Chicago Transit Authority (CTA) Open data, 2022.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Chicago Transit Authority (CTA) Open data, 2022
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.233638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fd2375a5-3bc3-4091-b23c-600fb6a09ea5 · outbound
This paper cites Kempa-Liehr.
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.223340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 93a2db77-5730-4fd4-8956-82790700e328 · outbound
This paper cites Divvy Data, June 2025.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Divvy Data, June 2025
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.212854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fe00fe9a-bfd1-4754-9196-1de5d2090950 · outbound
This paper cites NGBoost: Natural Gradient Boosting for Probabilistic Prediction.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:06:23.467407Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a2bb05e-c7ce-4917-8f47-abc84f916576 · outbound
This paper cites an unresolved cited work.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:06:26.201397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bb432bc0-7b07-40fc-8c06-eb1abb2108be · outbound
This paper cites Gao, S.R.
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.191025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 95392d1a-e4d3-4065-b222-dd0194877ad0 · outbound
This paper cites Hashem Pesaran and Takashi Yamagata.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Hashem Pesaran and Takashi Yamagata
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.180153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 004aca77-c5b5-432c-bb26-735bd1abc30a · outbound
This paper cites Global models for time series forecasting: A Simulation study.Pattern Recognition, 124:108441, April 2022.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Global models for time series forecasting: A Simulation study.Pattern Recognition, 124:108441, April 2022
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.168634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 55e07a28-49ff-4e3f-81fd-2534bffdd6a5 · outbound
This paper cites Model selection for count timeseries with applications in forecasting number of trips in bike-sharing systems and its volatility.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Model selection for count timeseries with applications in forecasting number of trips in bike-sharing systems and its volatility
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:06:25.152476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 311e9c67-0838-4ab8-907a-fae35a737318 · outbound
This paper cites A state space framework for automatic forecasting using exponential smoothing methods.International Journal of Forecasting, 18(3):439–454, July 2002.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions A state space framework for automatic forecasting using exponential smoothing methods.International Journal of Forecasting, 18(3):439–454, July 2002
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.157652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7285f201-1ee9-422c-8bec-a7c2e830ac5f · outbound
This paper cites Johnson, Miles Q.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Johnson, Miles Q
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.146331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e22f90db-7764-4f31-806e-6d9033be685b · outbound
This paper cites LightGBM: A Highly Efficient Gradient Boosting Decision Tree.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.135089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ce1dafc8-d02c-4f5a-82ba-3c708f413264 · outbound
This paper cites Regression Quantiles.Econometrica, 46(1):33, January 1978.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Regression Quantiles.Econometrica, 46(1):33, January 1978
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.123681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation de7cb1ec-c77f-49ee-b300-ce594c0dd6a9 · outbound
This paper cites Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting, 2023.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting, 2023
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.112506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bc93ece1-0e08-4261-a037-85087a38f777 · outbound
This paper cites Tsoukalas.
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.101606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 802d7d4c-7058-4e02-94c1-8f222784501c · outbound
This paper cites an unresolved cited work.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:06:26.090857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d20a038a-fe5f-444a-aa2d-4e5076746908 · outbound
This paper cites Principal components analysis (PCA).
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Principal components analysis (PCA)
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.080365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6053bbfb-5853-4c32-bae4-594f17eabb01 · outbound
This paper cites Quantile Regression Forests.Journal of Machine Learning Research, 7(35):983–999, 2006.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Quantile Regression Forests.Journal of Machine Learning Research, 7(35):983–999, 2006
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.070259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 782a9e7c-d0bd-4445-91be-ee251efb74ac · outbound
This paper cites an unresolved cited work.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T21:06:26.058516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a4eaab5d-602e-45f4-9fb1-ddd427588056 · outbound
This paper cites Nix and A.S.
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.047313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e25c64f5-77c1-42b3-b154-2e72e35222dd · outbound
This paper cites Note on Regression and Inheritance in the Case of Two Parents.Proceedings of the Royal Society of London, 58:240–242, 1895.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Note on Regression and Inheritance in the Case of Two Parents.Proceedings of the Royal Society of London, 58:240–242, 1895
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.035836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0b823218-9d01-449c-a291-cd67c96bdede · outbound
This paper cites Managing Supply and Demand Balance Through Machine Learning, June 2021.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Managing Supply and Demand Balance Through Machine Learning, June 2021
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.024013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e262a63b-1ae3-4f95-8a28-105194111ace · outbound
This paper cites Finding a "Kneedle" in a Haystack: Detecting Knee Points in System Behavior.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Finding a "Kneedle" in a Haystack: Detecting Knee Points in System Behavior
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.013299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation dc6a9714-d7ab-44b8-a1d1-ae32bc578cd6 · outbound
This paper cites Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:06:24.989979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 628e782a-5d42-45da-acd2-e0d61e55cf77 · outbound
This paper cites Planning for Bike-sharing System: Predicting Potential Usage with Spatial Regression Models, September 2022.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Planning for Bike-sharing System: Predicting Potential Usage with Spatial Regression Models, September 2022
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:26.001604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2fb832b8-e7da-4f33-b214-56dc9c4cd9f4 · outbound
This paper cites Optimal probabilistic forecasts for risk management.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Optimal probabilistic forecasts for risk management
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:06:24.870087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b659c400-6682-4430-be8e-925097a593ca · outbound
This paper cites Forecasting the Usage of Bike-Sharing Systems through Machine Learning Techniques to Foster Sustainable Urban Mobility.Sustainability, 16(16):6910, August 2024.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Forecasting the Usage of Bike-Sharing Systems through Machine Learning Techniques to Foster Sustainable Urban Mobility.Sustainability, 16(16):6910, August 2024
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:25.988950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cce7ee31-1942-43d8-961e-6a277156e57a · outbound
This paper cites Warren Liao.
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:25.977296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7a79d687-417d-43df-ac51-a78c4bf24f7f · outbound
This paper cites Wellens, Nikolaos Kourentzes, and Maximiliano Udenio.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Wellens, Nikolaos Kourentzes, and Maximiliano Udenio
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:25.965419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5d1f60dd-c17c-495c-9c92-fb64bbac2f60 · outbound
This paper cites Gaussian Processes for Regression.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Gaussian Processes for Regression
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:25.954924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aabd3dd9-c41c-4175-a847-d28b33a1d47e · outbound
This paper cites Understanding the demand predictability of bike share systems: A station-level analysis.Frontiers of Engineering Management, 10(4):551–565, December 2023.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Understanding the demand predictability of bike share systems: A station-level analysis.Frontiers of Engineering Management, 10(4):551–565, December 2023
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:25.854192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 55989766-a547-4d00-9564-7c3c84efd3c2 · outbound
This paper cites Local vs. Global Models for Hierarchical Forecasting.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Local vs. Global Models for Hierarchical Forecasting
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:06:24.769563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 88d22deb-3604-4a28-a6c5-172ea4c36b2f · outbound
This paper cites Eddy Patuwo, and Michael Y.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Eddy Patuwo, and Michael Y
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:25.709666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a118a179-9fa4-4ab9-938a-6af209744087 · outbound
This paper cites Deep and Confident Prediction for Time Series at Uber.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Deep and Confident Prediction for Time Series at Uber
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T21:06:25.491738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 908c29a3-1be4-4ce4-92b4-683a4598939e · outbound
This paper cites Model-based clustering with Hidden Markov Model regression for time series with regime changes.
Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions Model-based clustering with Hidden Markov Model regression for time series with regime changes
Reference 2011
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:06:25.301512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.