# research-publication > /*============================================================================*/ /* SKILL SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ - Author: DNYoussef - Repository: DNYoussef/ruv-sparc-three-loop-system - Version: 20260113122214 - Stars: 0 - Forks: 0 - Last Updated: 2026-02-08 - Source: https://github.com/DNYoussef/ruv-sparc-three-loop-system - Web: https://mule.run/skillshub/@@DNYoussef/ruv-sparc-three-loop-system~research-publication:20260113122214 --- /*============================================================================*/ /* SKILL SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: SKILL version: 1.0.0 description: | [assert|neutral] SKILL skill for research workflows [ground:given] [conf:0.95] [state:confirmed] category: research tags: - general author: system cognitive_frame: primary: evidential goal_analysis: first_order: "Execute SKILL workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic research processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "SKILL", category: "research", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Evidential", source: "Turkish", force: "How do you know?" } [ground:cognitive-science] [conf:0.92] [state:confirmed] ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. /*----------------------------------------------------------------------------*/ /* S2 TRIGGER CONDITIONS */ /*----------------------------------------------------------------------------*/ [define|neutral] TRIGGER_POSITIVE := { keywords: ["SKILL", "research", "workflow"], context: "user needs SKILL capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ name: research-publication description: Academic publication preparation for Deep Research SOP Pipeline I including paper writing, reproducibility artifacts, and venue submission. Use when preparing research for publication after Gate 3 APPROVED, submitting to conferences (NeurIPS, ICML, CVPR), or creating ACM artifact submissions. Ensures reproducibility checklists complete, supplementary materials prepared, and all artifacts publicly accessible. version: 1.0.0 category: research tags: - research - analysis - planning author: ruv --- # Research Publication ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. Prepare research for academic publication with comprehensive reproducibility artifacts, ensuring compliance with venue requirements and ACM Artifact Evaluation standards. ## Overview **Purpose**: Prepare and submit research for academic publication **When to Use**: - Quality Gate 3 APPROVED (production-ready model with artifacts) - Submitting to academic venues (NeurIPS, ICML, CVPR, ACL, etc.) - Creating ACM artifact submissions - Publishing reproducibility artifacts - Preparing supplementary materials **Quality Gate**: Follows Gate 3 APPROVED status **Prerequisites**: - Research complete (Phases 1-3 of Deep Research SOP) - Quality Gate 3 APPROVED - Reproducibility package validated - All artifacts archived and public **Outputs**: - Research paper draft (LaTeX) - Reproducibility checklist (NeurIPS, ICML, etc.) - Supplementary materials - ACM artifact submission package - Code release (GitHub with Zenodo DOI) - Presentation slides **Time Estimate**: 2-4 weeks - Paper writing: 1-2 weeks - Reproducibility checklist: 1-2 days - Supplementary materials: 2-3 days - Artifact submission: 2-3 days - Revisions: 3-5 days **Agents Used**: researcher, archivist --- ## Quick Start ### 1. Initialize Publication Project ```bash # Create publication structure mkdir -p publication/{paper,supplementary,code,slides} # Initialize LaTeX project cd publication/paper/ git init cp ~/templates/neurips_2024.tex main.tex ``` ### 2. Generate Paper Sections ```bash # Auto-generate sections from research artifacts python scripts/generate_paper_sections.py \ --literature-review ../phase1-foundations/literature_review.md \ --method-description ../phase2-development/method_card.md \ --evaluation-results ../phase2-development/holistic_evaluation/report.md \ --output paper/auto_generated/ ``` ### 3. Reproducibility Checklist ```bash # Generate NeurIPS reproducibility checklist python scripts/generate_reproducibility_checklist.py \ --venue neurips \ --artifacts ../phase3-production/ \ --output paper/reproducibility_checklist.pdf ``` ### 4. Supplementary Materials ```bash # Package supplementary materials python scripts/package_supplementary.py \ --ablation-results ../phase2-development/ablations/ \ --hyperparameters ../phase2-development/hparams/ \ --additional-experiments ../phase2-development/experiments/ \ --output supplementary/supplementary.pdf ``` ### 5. Artifact Submission ```bash # Prepare ACM artifact submission python scripts/prepare_acm_artifact.py \ --reproducibility-package ../phase3-production/reproducibility-package/ \ --badge-level "Reproduced+Reusable" \ --output publication/acm_artifact/ ``` --- ## Detailed Instructions ### Phase 1: Paper Writing (1-2 weeks) **Objective**: Write comprehensive research paper **Steps**: #### 1.1 Paper Structure (Standard ML Conference) ```latex % main.tex \documentclass{article} \usepackage{neurips_2024} \title{Multi-Scale Attention for Improved Vision Transformers} \author{ Your Name \\ Your Institution \\ \texttt{email@institution.edu} } \begin{document} \maketitle \begin{abstract} % 150-200 words summarizing: % - Problem and motivation % - Proposed method % - Key results % - Contributions \end{abstract} \section{Introduction} % - Motivation (why is this problem important?) % - Limitations of existing work /*----------------------------------------------------------------------------*/ /* S4 SUCCESS CRITERIA */ /*----------------------------------------------------------------------------*/ [define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S5 MCP INTEGRATION */ /*----------------------------------------------------------------------------*/ [define|neutral] MCP_INTEGRATION := { memory_mcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S6 MEMORY NAMESPACE */ /*----------------------------------------------------------------------------*/ [define|neutral] MEMORY_NAMESPACE := { pattern: "skills/research/SKILL/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "SKILL-{session_id}", WHEN: "ISO8601_timestamp", PROJECT: "{project_name}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S7 SKILL COMPLETION VERIFICATION */ /*----------------------------------------------------------------------------*/ [direct|emphatic] COMPLETION_CHECKLIST := { agent_spawning: "Spawn agents via Task()", registry_validation: "Use registry agents only", todowrite_called: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S8 ABSOLUTE RULES */ /*----------------------------------------------------------------------------*/ [direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* PROMISE */ /*----------------------------------------------------------------------------*/ [commit|confident] SKILL_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]