TimeEvo: Failure-Driven Self-Evolution of a Time Series Agent

arXiv:2609.27277 · cs.AI, cs.LG · Submitted 2026-09-23 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/Muyiiiii/TimeEvo

Terminology

• Accuracy — 18× in this paper · explained in 1 episode
• Calibration — 17× in this paper · explained in 7 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Trace — 7× in this paper · explained in 2 episodes
• Time Series Forecasting — 5× in this paper · explained in 3 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Clustering — 3× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Agent Skills — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes

Sources

• Chronos-2: From Univariate to Universal Forecasting
• TimeSeriesExam: A time series understanding exam
• A decoder-only foundation model for time-series forecasting
• Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values
• MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
• TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning
• TimeCopilot
• Poise: Position-Aware One-Instruction Skill Injection for Silent Execution on LLM Agents
• TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series Reasoning
• Moirai 2.0: When Less Is More for Time Series Forecasting
• TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning
• RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
• TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation
• ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning
• Revisiting Multivariate Time Series Forecasting with Missing Values
• From Observations to States: Latent Time Series Forecasting
• SkillOpt: Executive Strategy for Self-Evolving Agent Skills
• ReAct: Synergizing Reasoning and Acting in Language Models

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