Revisiting Identity and Spectra Dispersion in Media-Bridged Time Series Forecasting: Linking Multivariate Signals and Narrative Flows

arXiv:2610.11924 · cs.CV, cs.LG · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Time Series Forecasting — 45× in this paper · explained in 3 episodes
• Alignment — 23× in this paper · explained in 1 episode
• Transformer — 16× in this paper · explained in 2 episodes
• Clustering — 12× in this paper · explained in 2 episodes
• Adaptation — 11× in this paper · explained in 1 episode
• Ablation — 9× in this paper · explained in 1 episode
• Foundation Model — 8× in this paper · explained in 3 episodes
• Core — 7× in this paper · explained in 2 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Aggregation — 5× in this paper · explained in 1 episode
• Contextual Identity Modulation — 5× in this paper
• Benchmark — 4× in this paper · explained in 2 episodes
• Decoupled Frequency Fusion — 4× in this paper
• Embeddings — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Foundation Models — 4× in this paper · explained in 7 episodes
• Adaptive Graph — 3× in this paper · explained in 1 episode
• Decoupling — 3× in this paper · explained in 2 episodes
• Multimodal Dataset — 3× in this paper · explained in 2 episodes
• Redundancy — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Distribution Shift — 2× in this paper · explained in 5 episodes
• Entanglement — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Graph Construction — 2× in this paper · explained in 3 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Temporal Correlations — 2× in this paper · explained in 2 episodes
• Time Series Foundation Models — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Fast Fourier Transform — 1× in this paper
• Hallucination — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Mean Absolute Error — 1× in this paper
• Meta-learning — 1× in this paper · explained in 2 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Time Series Embedding Module — 1× in this paper

Sources

• Llama 2: Open Foundation and Fine-Tuned Chat Models
• The Llama 3 Herd of Models
• Qwen2 Technical Report
• Qwen3 Technical Report

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