{ "schema_version": "1.0.0", "package_id": "W12", "title": "Optimization under Competing Queries", "language": "en", "phase": "Intervene", "essential_question": "Which gain survives a portfolio of intents?", "research_cutoff": "2026-08-24", "status": "structurally_complete_text_first_authored_draft_human_review_recording_and_pilot_pending", "required_artifacts": [ "README.md", "LECTURE_NOTES.md", "SLIDE_SCRIPT.md", "WORKED_CASE.md", "TRANSCRIPT.md", "manifest.json", "validate_package.py" ], "learning_outcomes": [ "Declare a target query portfolio, stratum definitions, weights, exclusions, and scope before inspecting candidate outcomes.", "Separate a direction-aware objective vector from non-compensable factual, legal, authorization, safety, privacy, accessibility, and budget constraints.", "Calculate per-stratum changes, weighted means, interval endpoints, lower-tail conditions, dominance, and the feasible Pareto frontier.", "Explain why scalar weights are policy inputs and preserve disagreement between weighted and maximin policies.", "Preregister eligibility, choice, tie, null, conflict, failure, deviation, and rollback rules.", "Interpret a single-component ablation and interaction without claiming an unidentified external mechanism.", "Reproduce a frozen synthetic outcome matrix and L05 local fixture without making a universal strategy or production effect claim." ], "time_design": { "status": "authoring_budgets_not_observed_delivery_times", "synchronous_seminar_minutes": 90, "synchronous_core_studio_minutes": 75, "asynchronous_core_minutes": 225, "transcript_equivalent_minutes_min": 35, "transcript_equivalent_minutes_max": 45, "transcript_planned_total_minutes": 42, "full_lab_effort_hours": 6, "pilot_state": "not_taught_not_rehearsed_not_timed", "media_state": "no_video_or_audio_recording_exists" }, "local_dependencies": [ { "id": "COURSE-W12", "path": "course-site/app/lib/course-data.ts#W12", "role": "Authoritative week title, essential question, outcomes, PAPER routes, L05 studio, checks, and universal-strategy boundary.", "boundary": "A curriculum record does not establish observed timing, learning effectiveness, scientific validity, accessibility, or production effect." }, { "id": "NOTES-CH09-OPTIMIZATION", "path": "notes-latex/chapters/09-optimization.tex", "role": "Permitted change space, vector objectives, explicit constraints, query conflict, adaptive-loop audit, and rollback framework.", "boundary": "The chapter is conceptual alignment; its examples and cited results do not validate this package's synthetic matrix." }, { "id": "NOTES-CH07-EXPERIMENTS", "path": "notes-latex/chapters/07-experiments.tex", "role": "Estimand, ablation, assignment, version, and causal-language boundaries.", "boundary": "Notation cannot repair an unassigned comparison, co-intervention, contaminated query split, or failed gate." }, { "id": "NOTES-APP-B-REPRODUCIBILITY", "path": "notes-latex/appendices/b-reproducibility.tex", "role": "Manifest, query-panel, system-state, uncertainty, safety, approval, and figure-reproduction fields.", "boundary": "A complete manifest improves auditability but is not empirical replication or external validity." }, { "id": "LAB-L05", "path": "course-labs/L05_controlled_content_intervention", "role": "Local deterministic control/treatment fixture, claim and source lock, one declared factor, complete diff, and rollback route.", "boundary": "L05 establishes selected local equivalence properties only and supplies none of the W12 portfolio outcomes." } ], "controlled_source_routes": [ { "id": "PAPER-03", "type": "preprint_multi_query_core", "title": "IF-GEO: Conflict-Aware Instruction Fusion for Multi-Query Generative Engine Optimization", "url": "https://arxiv.org/abs/2601.13938", "role": "Core route for heterogeneous query requirements, conflict-aware coordination, content budgets, and cross-query stability questions.", "boundary": "Reported results remain benchmark-, query-, model-, objective-, and implementation-specific and do not validate a universal fusion policy." }, { "id": "PAPER-31", "type": "preprint_multi_objective_core", "title": "Think Before Writing: Feature-Level Multi-Objective Optimization for Generative Citation Visibility", "url": "https://arxiv.org/abs/2604.19113", "role": "Core route for interpretable feature-space candidates, multiple objectives, trade-offs, and feature realization.", "boundary": "Its evaluated conditions do not validate the W12 matrix, portable feature weights, universal content quality, or production citation effects." }, { "id": "PAPER-04", "type": "preprint_output_control_extension", "title": "Controlling Output Rankings in Generative Engines for LLM-based Search", "url": "https://arxiv.org/abs/2602.03608", "role": "Extension for output-order objectives, candidate assumptions, and manipulation-risk critique.", "boundary": "The route does not authorize live steering, establish a safe content practice, or generalize across query 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