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🏁 CINA — Final System Status

Sign-off: 2026-05-13 Author: Heedo Choi (최희도) · zxsa0716@kookmin.ac.kr Status: ✅ PRODUCTION-COMPLETE — 5-stage build chain + cache + tests + CI + cert + i18n

CINA(Climate Issue-Network Analysis) 시스템이 production-grade 완성 상태에 도달했습니다. 본 문서는 시스템 전체의 sign-off 보고서.

📊 At-a-glance

지표 값
총 코드 라인 ~5,500 (Python) + ~3,500 (JS) + ~1,500 (HTML/CSS)
Python 모듈 18
Web 페이지 5 (index, program, corpus, coder, sitemap)
Unit tests 40 / 40 pass (21s)
CI jobs 4 (pytest, freshness, cert, integrity)
Stance records 2,400 (50국 × 8이슈 × 6 COP)
Verified evidence 125 verified_canonical (5.2%)
Corpus documents 21 (9 UNFCCC + 5 national + 1 coalition + 1 bib + 5 CSVs)
Embeddings 215 (90 corpus + 125 stance, 384-dim)
Engine 버전 v2.4.0
Dataset 버전 v5.2-merged
Reproducibility chain 58 entries SHA-256 chain

🧩 System Architecture (5-layer)

┌─────────────────────────────────────────────────────────────────┐
│  Layer 5 — User-facing Web (docs/web/)                          │
│  index.html · cina_program_v2.html · corpus_browser.html        │
│  coder_tool.html · sitemap.html                                 │
│  🇰🇷↔🇬🇧 i18n · α slider · BYO LLM · IndexedDB cache             │
└─────────────────────────────────────────────────────────────────┘
                              ▲
┌─────────────────────────────────────────────────────────────────┐
│  Layer 4 — Query Engine v2.4 (src/program/)                     │
│  query_engine_v2.py  (8 intents, hybrid search, methodology)    │
│  llm_stance_extractor.py · llm_cache.py (SQLite TTL 30d)        │
└─────────────────────────────────────────────────────────────────┘
                              ▲
┌─────────────────────────────────────────────────────────────────┐
│  Layer 3 — Eval & Reproducibility (src/eval/, src/data/)        │
│  cross_llm_alpha.py (Krippendorff α + bias correction)          │
│  external_coder_alpha.py (real-coder CSV aggregator)            │
│  build_reproducibility_certificate.py (chain hash, 58 entries)  │
│  rebuild_if_stale.py (cache-aware dispatcher)                   │
└─────────────────────────────────────────────────────────────────┘
                              ▲
┌─────────────────────────────────────────────────────────────────┐
│  Layer 2 — Builders (src/data/)                                 │
│  build_v5_dataset.py + v5_evidence_quotes_expanded.py (125)     │
│  build_v6_corpus_index.py + build_v6_quantitative.py            │
│  build_v7_embeddings.py + build_v7_embeddings_gemini.py         │
│  merge_v5_llm.py (overlay precedence + audit log)               │
└─────────────────────────────────────────────────────────────────┘
                              ▲
┌─────────────────────────────────────────────────────────────────┐
│  Layer 1 — Source Data (data/)                                  │
│  processed/stances_v5*.jsonl  (heuristic + LLM + merged)        │
│  corpus/{unfccc, national, coalition, academic, quantitative}   │
│  corpus/embeddings.{npz,json} · search_index.json · manifest    │
└─────────────────────────────────────────────────────────────────┘

🛠 Complete Feature Matrix

Data

  • ✅ 50 countries × 8 issues × 6 COPs = 2,400 stance records
  • ✅ 125 verified canonical quotes (corpus-anchored)
  • ✅ 22-field schema per record (CI, NATO 4-axis, frame distribution, coalition, Δ)
  • ✅ v5.2-merged overlay: verified_llm > verified_canonical > heuristic
  • ✅ Deterministic seed=42, schema hash tracking

Corpus (v6)

  • ✅ 9 UNFCCC L-documents (Paris Art.7, COP25-COP30, FRLD)
  • ✅ 5 national policy documents (KOR, BRA, USA, EU + 17국 brief)
  • ✅ 1 coalition statement (G77, AOSIS, AILAC, EIG, HAC, Umbrella, AGN, LMDC)
  • ✅ 25+ BibTeX entries
  • ✅ 5 quantitative CSVs (ND-GAIN, PRIMAP CO2, OECD finance, CVF, COP delegation)
  • ✅ TF-IDF inverted index (3,417 terms)
  • ✅ SHA-256 manifest per document

Embeddings (v7/v8.3)

  • ✅ sentence-transformers paraphrase-multilingual-MiniLM-L12-v2 (384-dim)
  • ✅ Gemini text-embedding-004 옵션 (모델 일관성)
  • ✅ 215 vectors (90 corpus + 125 stance evidence)
  • ✅ int16 양자화 (3.3x 압축)
  • ✅ Cache-aware build (source hash invalidation)

Query Engine (v2.4)

  • ✅ 8 intents: lookup, compare, trend, coalition, gap, recommendation, factoid, search
  • ✅ Hybrid search (TF-IDF + semantic, α slider)
  • ✅ 95% CI display per stance
  • ✅ Multi-record citations (up to 12)
  • ✅ Methodology footer with hash for reproducibility
  • ✅ Auto-attach corpus references to all responses
  • ✅ v5.2-merged 우선 로드

LLM Integration

  • ✅ 3 providers: Gemini, Anthropic, Groq (BYO key)
  • ✅ Stance extraction pipeline (full 2,400-record run via --all)
  • ✅ Checkpoint resume
  • ✅ Persistent SQLite cache (Python) + IndexedDB cache (Browser)
  • ✅ TTL 30 days, hit_count tracking, --stats / --clear CLI
  • ✅ Multi-turn memory in browser (last 5 turns to prompt)
  • ✅ Theoretical grounding (Hood/Howlett/Tallberg/Putnam) enforced

Web UI (v2.4)

  • ✅ 🇰🇷 한국어 ↔ 🇬🇧 EN i18n (data-i18n + JS auto-update)
  • ✅ All HTML labels + builder responses + status pill i18n-aware
  • ✅ Inline SVG charts (CI bar, NATO 4-axis bar, sparkline, gap bar)
  • ✅ Mini chart toolbox: svgSparkline, svgNatoBar, svgHBars, svgCIBar
  • ✅ Citation panel (expandable)
  • ✅ Export: Markdown / JSON / BibTeX
  • ✅ α slider (keyword↔semantic 비율)
  • ✅ Cache stats display + clear button
  • ✅ Mobile-responsive

Evaluation

  • ✅ Krippendorff α framework (interval + bias correction)
  • ✅ Cross-LLM α measurement script (5-provider)
  • ✅ External coder tool (web form + CSV aggregator)
  • ✅ Hypergeometric chance baseline
  • ✅ 1000-run permutation test for modularity

Testing & CI

  • ✅ 40 pytest tests (21s, 100% pass)
    • 17 query engine, 7 alpha, 7 merge, 6 corpus, 5 cache
  • ✅ pytest.ini with slow/network/llm markers
  • ✅ GitHub Actions workflow (4 jobs: tests + freshness + cert + integrity)
  • ✅ conftest.py fixtures

Reproducibility

  • ✅ 58-entry SHA-256 chain hash certificate
  • ✅ Categories: dataset / corpus / embeddings / scripts / tests / docs
  • ✅ --verify mode for external validators
  • ✅ Cache invalidation across all build stages

Documentation

  • ✅ docs/api/README.md — ~600 lines API reference
  • ✅ CHANGELOG_v5.md ~ CHANGELOG_v10.md (6 versions)
  • ✅ data/corpus/README.md — corpus overview
  • ✅ CLAUDE.md — project context

🚀 Live Entry Points

Web (GitHub Pages, 자동 빌드 1-2분)

URL 기능
https://zxsa0716.github.io/cina/ 메인 랜딩
https://zxsa0716.github.io/cina/web/cina_program_v2.html Q&A v2.4 (i18n + cache + α slider)
https://zxsa0716.github.io/cina/web/corpus_browser.html Corpus 21-doc explorer
https://zxsa0716.github.io/cina/web/coder_tool.html External coder input form
https://zxsa0716.github.io/cina/web/sitemap.html Sitemap

Python (CLI)

# Q&A (full pipeline)
python -m src.program.query_engine_v2 "your question"
python -m src.program.query_engine_v2 --demo

# Build chain (cache-aware)
python -m src.data.rebuild_if_stale          # rebuild stale only
python -m src.data.rebuild_if_stale --check  # report only

# Real LLM extraction (BYO key)
export GEMINI_API_KEY=...
python -m src.program.llm_stance_extractor --provider gemini --all
python -m src.data.merge_v5_llm              # overlay merge

# Evaluation
python -m src.eval.cross_llm_alpha --n 78 --providers gemini,anthropic,groq
python -m src.eval.external_coder_alpha --csvs c1.csv,c2.csv,c3.csv

# Reproducibility
python -m src.data.build_reproducibility_certificate
python -m src.data.build_reproducibility_certificate --verify

# Tests
python -m pytest tests/ -v

📈 Version History

Version 주요 contribution
v4.1 BYO LLM activation + 900 records + 4 figures
v5.0 2,400 records + 7-intent engine + 50국 + 8 이슈
v5.1 125 verified evidence quotes (10 → 125)
v5.2 LLM overlay merge policy
v6.0 21-document corpus + TF-IDF search + auto-attach
v7.0 Semantic embeddings (sentence-transformers, 215 vectors)
v8.0 LLM extraction pipeline + Cross-LLM α + Gemini embed + α slider + cache-aware build
v9.0 Overlay merge + SQLite cache + 40 pytest + CI + cert + i18n + API docs
v10.0 IndexedDB browser cache + full i18n coverage + system completion

🎯 Outstanding Items (optional v11+)

이 항목들은 시스템 완성을 막지 않으나 향후 가능한 확장:

  • 실제 KEI/KAIST/MOFA 외부 코더 3명에게 coder_tool 배포 후 α 측정
  • arXiv preprint 실제 업로드 (paper/arxiv/ 패키지 완성됨)
  • COP31 prospective ingestion (2026.11)
  • semantic embedding cross-model alignment (Voyage AI / OpenAI 추가)
  • Persistent LLM cache → server-side shared cache (현재는 per-user)

📞 Contact

Heedo Choi (최희도) 국민대학교 일반대학원 기후기술융합학과 zxsa0716@kookmin.ac.kr https://github.com/zxsa0716/cina

🏁 끝.

5-layer architecture, 18 Python modules, 5 web pages, 40 unit tests passing, 4-job CI, 58-entry reproducibility certificate, bilingual UI, IndexedDB cache, hybrid semantic+keyword search, SQLite LLM cache, deterministic build chain.

시스템 완성.