Design specifications and research plans for the ACHILLES SCRIPTA use case.
Comprehensive documentation on characters, themes, plot elements, narrative structures, world rules, wisdom patterns, and quality metrics.
Problem context, 5 design principles, strategic goals with justification and limitations, KPIs, and risk analysis.
Pipeline architecture, data model, REST endpoints, authentication mechanisms, and repository structure.
Research questions, 6 experimental variants, metrics definitions, and validation protocol.
SVO CNL purpose, lexical rules, statement and group syntax, entity types, constraints, and pattern system.
Hyperdimensional computing theory, parameters (10K dimensions, bipolar), operations (bind/bundle/permute), and algorithms.
Problem scope, 5 actors, primary workflow, alternative workflows, and traceability requirements.
UI layout, palette, canvas interactions, context panel, generation/evaluation panels, and data flow.
Visual tree editor paradigm, libraries, pattern instantiation, and rules for generating CNL from structure.
Complete SVO CNL syntax reference and unified AST structure.
Execution model for SVO CNL, metric plugin runtime, human evaluation rubric, and statistical analysis protocol.
Formal definition and deterministic computation for CS using entity continuity, causal heuristics, and penalties.
Trait drift measurement via embeddings over token windows with per-character breakdown and thresholds.
Guardrail pass rate definitions (strict/lenient), artifact status model, and corpus-level reporting.
Distance from a curated trope corpus using deterministic embeddings, including top-k nearest tropes.
Correlation between measured emotional trajectory (moods/text) and target arc templates.
Semantic retrieval evaluation using Recall@k and MRR on held-out queries with relevance labels.
Translation success rate from NL to valid SVO CNL with parser + semantic validation criteria.
Scope-aware evaluation of SVO constraints (requires/forbids/must/tone/max/min) with evidence.
Human survey instrument (Likert 1–5), aggregation, confidence intervals, and acceptance thresholds.
Composite score combining CS with human ratings, plus +25% improvement criterion vs baseline variant.
Browser-first architecture, persistence-only server, module structure, and SDK vs Node/CLI boundaries.
NL to CNL evaluation pairs for SCRIPTA testing and benchmarking.