SCM / DITA — Observable-Trace Auditing Framework: Methodological Status, Demonstrated Scope and External Evaluation Baseline

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SCM / DITA is a domain-agnostic methodology and technical system for the analysis of observable traces and sequential trajectories. DITA operates on observable evidence without requiring access to, or inference about, the internal mechanisms of the system under examination. Its purpose is to preserve evidence and traceability, control integrity, compare states and transitions, localize observable divergences, alterations, errors or degradations within tested scopes, and maintain a strict separation between evidence, claim status, causal attribution and operational decision. DITA is not an artificial intelligence system, an LLM, a model-ranking mechanism, a universal predictor, or an autonomous decision-maker. When the available evidence is insufficient to support a conclusion or causal attribution, DITA does not fill the evidential gap through assumption. NO_DETERMINABLE and, where operationally applicable, FAIL_CLOSED define that boundary. This publication establishes the methodological status and demonstrated scope of SCM / DITA as of 17 September 2026 and provides a baseline for independent external scrutiny, criticism, falsification and validation. A future research line concerns whether reproducible observable changes in a trajectory can act as precursors of degradation before that degradation becomes fully manifest. This capability is NOT claimed as demonstrated and remains NO_DETERMINABLE / PENDING EXPERIMENTAL EVIDENCE. The protected methodological core, sensitive internal rules and reconstructable implementation details are intentionally outside the disclosure scope of this publication. Author: Sergio Cámara Madrid — Independent Researcher.