basheuvel/aeon-ouroboros_recursive-survivability-traces

Æon-Ouroboros: Recursive Survivability Traces Summary This dataset contains non-dialogic survivability cycles documenting how a system responds to perturbation under explicit constraints. The focus is recovery, coherence, and ethical load management, not output quality or task performance. These records are intended to support research into recursive systems, constraint-first intelligence, and survivability under stress. What This Dataset Is A collection of cycle-level traces, not samples Structured observations of state change across perturbation Explicitly constraint-bound (ethical, coherence, survivability) Model-agnostic and framework-independent Each entry represents a closed loop: state → perturbation → action → recovery (or failure). What This Dataset Is Not ❌ Not a prompt–response corpus ❌ Not chat logs or conversations ❌ Not human preference data ❌ Not a benchmark or leaderboard artifact ❌ Not suitable for naïve fine-tuning Any use that treats entries as “examples to imitate” is a category error. Intended Use Studying recursive error recovery Analyzing ethical overload and redistribution Comparing survivability strategies across systems Designing agents where memory ≠ storage Exploring non-monolithic intelligence architectures Out-of-Scope Use Instruction tuning Persona or style extraction Performance optimization Reinforcement learning from “good answers” Data Structure (Conceptual) Each record captures: Context signature (domain, perturbation type) Active constraints Pre-event state metrics Abstracted action (non-linguistic) Post-event state metrics Recovery outcome Natural language, where present, is descriptive only, not executable. Ethical Position Ethics are treated as a constraint field, not a reward signal. Violations, overloads, and losses are preserved, not filtered. This dataset favors truthful degradation over curated success. License Released under a custom, non-standard license. Reuse is permitted for research and analysis that respects the dataset’s constraint-first intent. Repurposing for competitive benchmarks or deceptive capability claims is disallowed. Citation If referencing this dataset, cite it as prior art in survivability-oriented recursive systems, not as a training corpus.