Weave of Formal Thought

arXiv:2606.25987 · cs.CL, cs.AI, cs.LG · Submitted 2026-06-24 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2026-06-24

Updated: 2026-09-14

Comments: Code is available at https://github.com/alexbouayad/formal

Code: https://github.com/alexbouayad/formal

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Fine-Tuning — 20× in this paper · explained in 5 episodes
Reweighted Wake-Sleep — 11× in this paper
Weave of Formal Thought — 9× in this paper
Tokenization — 7× in this paper · explained in 2 episodes
Adam — 4× in this paper · explained in 2 episodes
Latent Space — 4× in this paper · explained in 7 episodes
Transformer — 4× in this paper · explained in 2 episodes
Embeddings — 3× in this paper · explained in 2 episodes
Generative Model — 3× in this paper · explained in 2 episodes
Trace — 3× in this paper · explained in 2 episodes
Adaptation — 2× in this paper · explained in 1 episode
Attention Mechanism — 2× in this paper · explained in 3 episodes
Chain-of-Thought (CoT) — 2× in this paper · explained in 4 episodes
Chain-of-Thought (CoT) Prompting — 2× in this paper · explained in 3 episodes
Decode — 2× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
Latent Reasoning — 2× in this paper · explained in 2 episodes
Model-Agnostic — 2× in this paper · explained in 2 episodes
Regularization — 2× in this paper · explained in 3 episodes
Semantic Drift — 2× in this paper · explained in 3 episodes
Sparsity — 2× in this paper · explained in 4 episodes
Verifier — 2× in this paper · explained in 2 episodes
Ablation — 1× in this paper · explained in 1 episode
Ablation Studies — 1× in this paper · explained in 1 episode
Abundance — 1× in this paper · explained in 1 episode
Accuracy — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Antithetic sampling — 1× in this paper · explained in 1 episode
Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables — 1× in this paper
Benchmark — 1× in this paper · explained in 2 episodes
Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
Computational overhead — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Hallucination — 1× in this paper · explained in 3 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
Objective Function — 1× in this paper · explained in 2 episodes
Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
Parameter-Efficient Fine-Tuning (PEFT) — 1× in this paper · explained in 4 episodes
Perplexity — 1× in this paper · explained in 3 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Speculative Decoding — 1× in this paper · explained in 2 episodes
Structural Reasoning — 1× in this paper · explained in 2 episodes
Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
Theoretical Guarantees — 1× in this paper · explained in 2 episodes
Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

Training Deep Nets with Sublinear Memory Cost

Terminology

Sources

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