ANTIGRAVITY

AI Collaboration Workspace — Structure Recognition Research Program

Maintaining continuity between AI sessions for long-term research development.

Keywords

AI collaboration, research continuity, session handover, human-AI research collaboration, context preservation, long-term research management, structure recognition, AI workflow, research infrastructure, operational workspace

What This Repository Is

ANTIGRAVITY is the AI collaboration workspace for the Structure Recognition Research Program. Its primary function is to preserve research context, document decisions, and enable continuity between AI-assisted work sessions.

This repository does not contain research papers. It contains operational infrastructure: handover documents, status records, architecture decisions, and workflow guidelines.

Role in the Research Program

Research-Portfolio — Program Hub (public-facing navigation)
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         ↓
ANTIGRAVITY — AI Workspace (session continuity, operational layer)
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         ↓
Paper Repositories 1–4 — Research content

ANTIGRAVITY operates as the operational layer beneath the Research-Portfolio hub. While Research-Portfolio is the public-facing navigation point, ANTIGRAVITY is where AI session context is preserved across sessions.

Key Files

[2026-06-20 압축 현행화] 이 저장소는 문서 압축 이후 README.md 단일 파일로 운영됩니다.
이전에 별도로 존재하던 RESEARCH_STATUS.md, MESSAGE_TO_ANTIGRAVITY.md, PROGRAM_ARCHITECTURE_REVIEW.md, ANTIGRAVITY_TheoryIntegrationTask.md의 내용은 모두 이 파일(README.md)에 통합되었습니다.

File Purpose
README.md Start here. Current state of all repositories, operating principles, Architecture B decision record, Phase priorities, session handover context. (압축 통합본)

For AI Collaborators Starting a New Session

⚠️ 2026-06-21 업데이트 (Session 33): 아래 읽기 순서가 현행화되었습니다. 이전 버전에 기술되어 있던 MasterHandoverDocument.md 및 ProjectStatus.md 경로는 더 이상 유효하지 않습니다.

Required reading order:

  1. inha20-main/SESSION_START.md — 단일 AI 진입점 (v4.0). 프로그램 전체 구조, AI 운영 원칙, 작업 이력 포함.
  2. inha20-main/ProjectDashboard.md — 현재 대기 중인 작업 목록 및 저장소 헬스 현황.

Then ask the researcher: “Where did we leave off?”

Do not begin modifying any repository until you understand the Architecture B program structure.

Current Research Program State

Architecture: Architecture B (Empirical Foundation Model) — adopted 2026-06-05

Paper 1: KMap Structure Invariance       — Empirical Case Study 1
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Paper 2: Symmetric Boolean Functions     — Empirical Case Study 2
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Paper 3: Variable Rearrangement          — Empirical Case Study 3
         ↓
Paper 4: Structure Recognition Theory    — Theoretical Hub

Current Phase: Phase 4 — Repository Content Improvement + Phase 5 SEO (June–July 2026)

Operating Principles

  1. Preserve all existing filenames unless explicitly asked to rename
  2. Preserve discovery history — never delete historical material
  3. Prefer incremental improvements over full rewrites
  4. Document all significant decisions in CHANGELOG or handover files
  5. Avoid forcing theoretical frameworks onto early observations
  6. Prefer conceptual organization over producing more content
  7. When in doubt, preserve more information rather than less

Summer 2026 Phase Queue

Phase Scope Status
Phase 1 Repository stabilization, README updates ✅ 완료 (2026-06-07)
Phase 2 Figure standardization 🟡 연구자 직접 작업 필요 (Paper 3 그림 25개 미완성)
Phase 3 GitHub Pages construction ✅ 완료 (2026-06-07, Session 16)
Phase 4 Repository content improvement 🔴 Active (June–July)
Phase 5 Search discoverability (SEO) 🟠 Available (AI 실행 가능 항목 미착수)
Phase 6 Future projects exploration 🔵 August

Full detail: Research-Portfolio-main/ProjectManagement/Expand_Summer2026_ResearchMaintenancePlan.md

This repository is part of the Structure Recognition Research Program.

Repository Role
Research-Portfolio Program Hub
1KMapStructureInvariance Empirical Case Study 1
2SymmetricBooleanFunctionMinorThesis Empirical Case Study 2
3VariableRearrangementInvarianceMinorThesis Empirical Case Study 3
4StructureRecognitionTheory Theoretical Hub
5HumanAIResearchCollaboration Methodological Meta-layer (Paper 5)
6BooleanFunctionSpaceTheory Applied Mathematics Extension (Branch 8, TODO.md 기반 통합 운영)
inha20 GitHub Profile — 공개 진입점 + 중앙 허브

AI Entry Point: SESSION_START.md

Author

Choi Jonghun
Independent researcher · Graduate of Inha Technical College

ANTIGRAVITY — maintained across AI sessions as part of the Structure Recognition Research Program