ANTIGRAVITY

AI Collaboration Workspace — Structure Recognition Research Program

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

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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

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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.

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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 1–8 — Research content (1–6: archived research notes; 7–8: current papers)

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.

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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)

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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/SESSION_START.md — 단일 AI 진입점 (v5.4). 프로그램 전체 구조, AI 운영 원칙, 작업 이력 포함.
2. 같은 문서의 Active Queue와 Repository Health 절 — 현재 대기 중인 작업 목록 및 저장소 헬스 현황 (구 ProjectDashboard.md는 SESSION_START.md에 통합되어 더 이상 없습니다).

Then ask the researcher: "Where did we leave off?"

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

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Current Research Program State

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

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

Papers 1–6 are archived, read-only research notes (2026-10-18). The two current papers are standalone and can be read without the earlier ones:

Paper 7: Karnaugh Group Classification                  — Standalone mathematics paper
Paper 8: Structural Thinking and Human-AI Collaboration — Standalone framework proposal

Current Phase (2026-10-19): 1~6번 저장소는 보관(읽기 전용)되었고 7·8번 독립 논문의 정리가 끝난 상태입니다. 투고 준비는 학회가 정해진 뒤 진행합니다. 이전 기록: Phase 4 — Repository Content Improvement + Phase 5 SEO (June–July 2026)

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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

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Phase Queue (2026-06 plan, status as of 2026-10-19)

Phase	Scope	Status
Phase 1	Repository stabilization, README updates	✅ 완료 (2026-06-07; 2026-10에 1~8번의 링크·이름 정리)
Phase 2	Figure standardization	✅ 종결 (2026-10: 1~6번은 보관, 3번 images/는 31개로 정리, 그림은 7번에 정리하고 8번에는 기존 그림 3개를 삽입)
Phase 3	GitHub Pages construction	✅ 완료 (2026-06-07, Session 16; 2026-10에 1~6번 사이트 재배포)
Phase 4	Repository content improvement	✅ 7·8번 독립 논문으로 통합·정리 (2026-10)
Phase 5	Search discoverability (SEO)	⚪ 하지 않음 (미착수 상태로 종결)
Phase 6	Future projects exploration	🔵 투고 준비와 후속 연구 (학회 선정 후)

Full detail: Research-Portfolio/ProjectManagement/Expand_Summer2026_ResearchMaintenancePlan.md — 이 문서는 2026-06-20에 삭제되어 현재는 없으며, git 이력(0caed63^)에서만 볼 수 있습니다.

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Research Program Links

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 (Paper 6, TODO.md 기반 통합 운영)
7KarnaughGroupClassification	Standalone Mathematics Paper (Paper 7)
8StructuralThinkingAndHumanAICollaboration	Standalone Framework Proposal (Paper 8)
inha20	GitHub Profile — 공개 진입점 + 중앙 허브

Papers 1–6 are archived, read-only research notes (2026-10-18); Papers 7 and 8 are the current papers.

AI Entry Point: SESSION_START.md

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Author

Choi Jonghun
Independent researcher · 2nd-year student at Inha Technical College

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