Self-Reference in Large Language Models: The Introspection Threshold for Recursive Self-Improvement

arXiv:2607.04277 · physics.soc-ph, cs.AI · Submitted 2026-07-05 · Read on arXiv

physics.soc-ph, cs.AI

Submitted: 2026-07-05

Updated: 2026-09-18

Comments: 21 pages, 4 figures, 1 table

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

Terminology

Introspection — 77× in this paper · explained in 2 episodes
Core — 17× in this paper · explained in 2 episodes
Transformer — 16× in this paper · explained in 2 episodes
Alignment — 12× in this paper · explained in 1 episode
Verification — 8× in this paper · explained in 2 episodes
Hallucination — 6× in this paper · explained in 3 episodes
Metacognition — 5× in this paper · explained in 5 episodes
Large Language Models (LLMs) — 4× in this paper · explained in 6 episodes
Transformer Architecture — 4× in this paper · explained in 2 episodes
Benchmark — 3× in this paper · explained in 2 episodes
Calibration — 3× in this paper · explained in 7 episodes
Fidelity — 3× in this paper · explained in 2 episodes
Grounding — 3× in this paper · explained in 3 episodes
Reinforcement Learning — 3× in this paper · explained in 4 episodes
Scaffolding — 3× in this paper · explained in 3 episodes
Structural Constraints — 3× in this paper · explained in 2 episodes
Abstraction — 2× in this paper · explained in 1 episode
Accuracy — 2× in this paper · explained in 1 episode
Fine-Tuning — 2× in this paper · explained in 5 episodes
Foundation Model — 2× in this paper · explained in 3 episodes
Foundation Models — 2× in this paper · explained in 7 episodes
Provenance — 2× in this paper · explained in 3 episodes
Self-Evolving Agents — 2× in this paper · explained in 2 episodes
Steering — 2× in this paper · explained in 2 episodes
AI Agents — 1× in this paper · explained in 2 episodes
AI Alignment — 1× in this paper · explained in 2 episodes
Activation Steering — 1× in this paper · explained in 4 episodes
Adam — 1× in this paper · explained in 2 episodes
Adaptability — 1× in this paper · explained in 1 episode
Adaptation — 1× in this paper · explained in 1 episode
Agentic Reasoning — 1× in this paper · explained in 1 episode
Axioms — 1× in this paper · explained in 2 episodes
Computational Tractability — 1× in this paper · explained in 2 episodes
Decode — 1× in this paper · explained in 2 episodes
Formal Verification — 1× in this paper · explained in 2 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Human-in-the-Loop — 1× in this paper · explained in 3 episodes
In-Context Learning — 1× in this paper · explained in 4 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
On the Situational Awareness Dataset — 1× in this paper
Proceedings of the Conference on Language Modeling — 1× in this paper
Reward Function — 1× in this paper · explained in 2 episodes

Self-Reference in Large Language Models: The Introspection Threshold for Recursive Self-Improvement

Terminology

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