Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:54:19.076626Z
Paper Citation Record · LEDGER
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach
As of 23 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2508.20795.
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 2026-08-22T06:32:14.747728+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
13 of 13 outbound references displayed
- verified exact1
- verified fuzzy11
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 87cf6f43-a27b-494d-ab3c-03f07017a8ca · outbound
This paper cites The combination of forecasts.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach The combination of forecasts
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.257964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dea56a72-421e-4a37-8d1b-1165aebcf5d4 · outbound
This paper cites Kaggle forecasting competitions: An overlooked learning opportunity.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach Kaggle forecasting competitions: An overlooked learning opportunity
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.246179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b55b6861-a27d-4ba9-97fc-50bbda90861e · outbound
This paper cites Combining forecasts: A review and annotated bibliography.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach Combining forecasts: A review and annotated bibliography
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.234268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 59b8da36-ee5f-4c24-b060-4bc34246f9eb · outbound
This paper cites Principled reward shaping for reinforcement learning via lyapunov stability theory.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach Principled reward shaping for reinforcement learning via lyapunov stability theory
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.222473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ad958a8e-1111-46cb-aae7-a44961976c7c · outbound
This paper cites Crop yield prediction using deep reinforcement learning model for sustainable agrarian applications.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach Crop yield prediction using deep reinforcement learning model for sustainable agrarian applications
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.210406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e8032cfc-da53-4e38-acb4-2bea746faba5 · outbound
This paper cites Reinforcement learning based dynamic model selection for short-term load forecasting.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach Reinforcement learning based dynamic model selection for short-term load forecasting
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.198349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f0c3455b-0d0b-4bee-8faa-f3d7bee5f65e · outbound
This paper cites News Deja Vu: Connecting Past and Present with Semantic Search.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach News Deja Vu: Connecting Past and Present with Semantic Search
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T14:54:19.113427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 030bfcc7-0513-4098-a8d7-aa8a3997c105 · outbound
This paper cites Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.185674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 011274ec-9305-4426-9eb1-da9b3c82fba6 · outbound
This paper cites The m4 competition: 100,000 time series and 61 forecasting methods.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach The m4 competition: 100,000 time series and 61 forecasting methods
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.172077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation adce6f4b-8a86-4089-a3a1-dee81b6c243d · outbound
This paper cites M5 accuracy competition: Results, findings, and conclusions.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach M5 accuracy competition: Results, findings, and conclusions
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.159164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f8745335-27f7-4ef9-a519-348d5e385a57 · outbound
This paper cites Machine learning dynamic switching approach to forecasting in the presence of structural breaks.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach Machine learning dynamic switching approach to forecasting in the presence of structural breaks
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.146387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3823672f-f30d-4189-a2b1-850a06fc1dff · outbound
This paper cites Reward is enough.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach Reward is enough
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T14:54:19.133787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8cba03bf-b0f6-49cc-8b40-0667bbe36581 · outbound
This paper cites Learning to predict by the methods of temporal differences.
Time Series Embedding and Combination of Forecasts: A Reinforcement Learning Approach Learning to predict by the methods of temporal differences
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:54:19.076626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.