Paper Citation Record · LEDGER

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting

As of 20 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.10149.

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

pith.paper-citation-record.v1
2608.10149 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:16:04.777171Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

42 of 42 outbound references displayed

verified exact4
verified fuzzy20
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c42d4f60-db9e-45bd-b705-8c277210fbe6 · outbound

This paper cites A new framework for multivariate time series forecasting in energy management system.IEEE Transactions on Smart Grid, 14(4):2934–2947, 2022.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting A new framework for multivariate time series forecasting in energy management system.IEEE Transactions on Smart Grid, 14(4):2934–2947, 2022

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.641012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c728103-1de1-49d4-b504-5f5aa3fc0a7e · outbound

This paper cites Multi-period learning for financial time series forecasting.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Multi-period learning for financial time series forecasting

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.626293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c201231-5132-4974-85ae-da6d52a44048 · outbound

This paper cites Forecasts in urban transportation planning: Uses, methods, and dilemmas.Climatic Change, 11(1):61–80, 1987.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Forecasts in urban transportation planning: Uses, methods, and dilemmas.Climatic Change, 11(1):61–80, 1987

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.608012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3afa5c36-3820-4488-a36a-7ed807d573e5 · outbound

This paper cites A combined model for multivariate time series forecasting based on mlp-feedforward attention-lstm.IEEE Access, 10:88644–88654, 2022.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting A combined model for multivariate time series forecasting based on mlp-feedforward attention-lstm.IEEE Access, 10:88644–88654, 2022

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.595801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd304459-8217-468b-9ae6-ea218bc7ab64 · outbound

This paper cites A lightweight sparse interaction network for time series forecasting.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting A lightweight sparse interaction network for time series forecasting

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.583089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c901f18d-68fb-4d9e-ac1c-8414a398258e · outbound

This paper cites Drcnn: decomposing residual convolutional neural networks for time series forecasting.Scientific Reports, 13(1):15901, 2023.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Drcnn: decomposing residual convolutional neural networks for time series forecasting.Scientific Reports, 13(1):15901, 2023

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.571370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 65b5eabf-52d7-4a74-8c55-cdd63007d8cf · outbound

This paper cites RRMSE Voting Regressor: A weighting function based improvement to ensemble regression.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting RRMSE Voting Regressor: A weighting function based improvement to ensemble regression

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:16:05.180184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f5b2a388-772a-4231-b8e0-f32950e692ca · outbound

This paper cites Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.Statistics in medicine, 34(1):106–117, 2015.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.Statistics in medicine, 34(1):106–117, 2015

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.557781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9606d47a-b410-4802-8bf0-9874be58529f · outbound

This paper cites Reinforcement learning based dynamic model combination for time series forecasting.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Reinforcement learning based dynamic model combination for time series forecasting

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.540383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c7a0156-3a09-4cd4-a90a-75b428d79dca · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.536325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 485ae6bc-8e11-4b5b-88ad-abe7f8164b49 · outbound

This paper cites SpecFuse: Ensembling Large Language Models via Next-Segment Prediction.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting SpecFuse: Ensembling Large Language Models via Next-Segment Prediction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.540751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd14d52d-a01b-4ff1-a254-7d79d0393b8a · outbound

This paper cites When to ensemble: Identifying token-level points for stable and fast llm ensembling.arXiv preprint arXiv:2510.15346, 2025.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting When to ensemble: Identifying token-level points for stable and fast llm ensembling.arXiv preprint arXiv:2510.15346, 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.544627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60434094-acc3-4672-9023-c7ea26af1f05 · outbound

This paper cites Llm-blender: Ensembling large language models with pairwise ranking and generative fusion.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Llm-blender: Ensembling large language models with pairwise ranking and generative fusion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.557664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 524aecfc-2279-4392-bee9-97d7d0876aa2 · outbound

This paper cites Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:16:05.048722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c38ea920-effe-4f2f-bb5e-16022ace1ee9 · outbound

This paper cites Dapo: An open-source llm reinforcement learning system at scale.Advances in Neural Information Processing Systems, 38:113222–113244, 2026.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Dapo: An open-source llm reinforcement learning system at scale.Advances in Neural Information Processing Systems, 38:113222–113244, 2026

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.568643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d81271-9f62-4f1f-9ca7-be330c4724ff · outbound

This paper cites Understanding r1-zero-like training: A critical perspective.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Understanding r1-zero-like training: A critical perspective

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.512422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 84da9e0a-3702-4948-8b59-41f5b1f34359 · outbound

This paper cites Group Sequence Policy Optimization.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Group Sequence Policy Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.577487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c88ad8a3-76c9-4e00-9ddc-4523d8fc2a66 · outbound

This paper cites Soft Adaptive Policy Optimization.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Soft Adaptive Policy Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.595239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a766b649-e6f9-4136-a5a7-dbfcf7822eb4 · outbound

This paper cites Semixer: Semantics enhanced mlp-mixer for multiscale mixing and long-term time series forecasting.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Semixer: Semantics enhanced mlp-mixer for multiscale mixing and long-term time series forecasting

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.493385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a712c38e-9287-4b3f-83ab-59626b054744 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.613416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27c68db4-0ae5-41e9-b45e-853bba00be3c · outbound

This paper cites Timexer: Empowering transformers for time series forecasting with exogenous variables.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Timexer: Empowering transformers for time series forecasting with exogenous variables

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.476559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 10aba839-f24b-41bc-8a1c-b7bb9bb9de2f · outbound

This paper cites Card: Channel aligned robust blend transformer for time series forecasting.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Card: Channel aligned robust blend transformer for time series forecasting

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.465086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb51960d-ade7-4121-bd8f-0f988de4109b · outbound

This paper cites Timemixer: Decomposable multiscale mixing for time series forecasting.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Timemixer: Decomposable multiscale mixing for time series forecasting

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.422561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee8c31ce-7f27-4786-a775-ee45fcb739c1 · outbound

This paper cites Moderntcn: A modern pure convolution structure for general time series analysis.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Moderntcn: A modern pure convolution structure for general time series analysis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.402115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 137f8102-8e17-4656-925c-fa1ee1a5215a · outbound

This paper cites Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.657473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 572ad78a-f149-41c7-8ee6-21969f9d22a1 · outbound

This paper cites Periodicity decoupling framework for long-term series forecasting.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Periodicity decoupling framework for long-term series forecasting

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.382838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b18ad970-75bc-4b72-ba76-922419ea8d03 · outbound

This paper cites Moment: a family of open time-series foundation models.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Moment: a family of open time-series foundation models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.371127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b24d0b7a-7b15-4a2f-9bb3-5f40a4d47d54 · outbound

This paper cites Sundial: A Family of Highly Capable Time Series Foundation Models.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Sundial: A Family of Highly Capable Time Series Foundation Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.670907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64c77c3f-d246-4fcb-8266-2236bfe16c53 · outbound

This paper cites Timer: generative pre-trained transformers are large time series models.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Timer: generative pre-trained transformers are large time series models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.357364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b263ecc0-e370-4b55-9f33-3b825448fa1d · outbound

This paper cites Time-moe: Billion-scale time series foundation models with mixture of experts.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Time-moe: Billion-scale time series foundation models with mixture of experts

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.677044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78657c79-2d79-427f-a44a-835ac0c4817c · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting A decoder-only foundation model for time-series forecasting

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.337991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 34a001f5-8b7b-4d81-a067-c900dff023da · outbound

This paper cites Unified training of universal time series forecasting transformers.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Unified training of universal time series forecasting transformers

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.682860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e4bf0d0-2426-4bde-8be5-ca6835e8d120 · outbound

This paper cites Timer-XL: Long-Context Transformers for Unified Time Series Forecasting.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Timer-XL: Long-Context Transformers for Unified Time Series Forecasting

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:04.686688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dc7daef-3fb9-49e8-97ae-e9890ab0929a · outbound

This paper cites pronounced upward drift.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting pronounced upward drift

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.295174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b184b74b-70be-4df3-9920-23e59053017f · outbound

This paper cites an unresolved cited work.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:05.281620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 40cb44e4-f5e5-4558-877c-d31e00aac47f · outbound

This paper cites Each sub-dataset offers two versions with varying sampling resolutions (15 minutes and 1 hour).

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Each sub-dataset offers two versions with varying sampling resolutions (15 minutes and 1 hour)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:16:05.272089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b8f7864-f85a-4280-b854-2711a88d9450 · outbound

This paper cites an unresolved cited work.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:05.258015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a4258ea6-89fe-4f57-8cc4-d2f71ab27288 · outbound

This paper cites an unresolved cited work.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:05.243814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 461ac763-3bc9-43a0-ace9-68ac2a3b696a · outbound

This paper cites an unresolved cited work.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Unresolved cited work

Reference 39

Resolution: verified exact; raw_fallback, observed 2026-08-14T04:16:04.948363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2963f854-2262-4dc3-b7ee-0f39dba09f67 · outbound

This paper cites an unresolved cited work.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:05.227583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13d6e8ca-5d2c-444d-8176-540d753df4a1 · outbound

This paper cites an unresolved cited work.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:16:05.204785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b658342e-9a16-412f-89b0-344bec319982 · outbound

This paper cites dead zones.

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting dead zones

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-14T04:16:04.864198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.