SANE: State Anomaly Neutralization for Stable Extreme-Context Delta-Rule Models

arXiv:2608.22354 · cs.LG, cs.AI · Submitted 2026-08-23 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-08-23

Updated: 2026-08-25

Code: https://github.com/pass-lin/rwkv_ops

Terminology

• Perplexity — 24× in this paper · explained in 3 episodes
• Sparsity — 16× in this paper · explained in 4 episodes
• Transformer — 13× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Adaptation — 4× in this paper · explained in 1 episode
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• In-Context Learning — 2× in this paper · explained in 4 episodes
• KV cache — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Alpha Parameter — 1× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Qwen3-Coder-Next Technical Report
• Training Verifiers to Solve Math Word Problems
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• Does Your Neural Network Extrapolate? Feature Engineering as Identifiability Bias for OOD Generalization
• OpenThoughts: Data Recipes for Reasoning Models
• Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention
• DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
• MDN: Parallelizing Stepwise Momentum for Delta Linear Attention
• Periodic RoPE for Infinite Context LLMs
• Muon is Scalable for LLM Training
• AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
• Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
• Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence
• RWKV-7 "Goose" with Expressive Dynamic State Evolution
• TiRex-2: Generalizing TiRex to Multivariate Data and Streaming
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• MathScale: Scaling Instruction Tuning for Mathematical Reasoning
• Kimi K3: Open Frontier Intelligence
• Kimi Linear: An Expressive, Efficient Attention Architecture
• Not All Correct Answers Are Equal: Why Your Distillation Source Matters

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