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Research v2.0Version 2.0 · · Governance 2.0 public evidence surface
Governance 2.0 Overview
This page is part of the starnum public Governance 2.0 surface and uses the same evidence layer as the system card, data governance, transparency report, use policy, and security policy.
Governance Summary
This page documents the research operating model behind cultural interpretation, chart methodology, content quality, multilingual translation quality, and AI-assisted governance workflows.
Scope
Astrology-method notes, true-solar-time assumptions, knowledge-base and translation-memory lineage, AWR/TM quality gates, benchmark references, and public transparency artifacts.
Implementation Status
Version 2.0 turns the research page into a maintained evidence hub: claims point to machine-readable artifacts, while systems detect and agents decide whether content needs repair.
Lập trường biên tập:Lấy phái Lục Bân Triệu làm chuẩn phân tích và so sánh các phái khác một cách khách quan — không xếp hạng phái nào cao hơn phái nào.
Tần suất:Một bài mỗi tháng, lập lịch bởi
scripts/publish-research.js · RSS
Tứ Hóa trong Phái Lục Bân Triệu: Ba Cách Đọc của Thiên Can Mậu, Canh và Nhâm
Một trong những điểm tranh luận gay gắt nhất của Tử Vi Đẩu Số: ở Can Mậu, Hữu Bật hay Thiên Cơ hóa Khoa? Ở Canh, Thái Âm hay Thiên Đồng? Ở Nhâm, Tả Phụ hóa Lộc hay Thiên Lương hóa Lộc? Bài viết đặt song song phái Lục Bân Triệu, phái Vương Đình Chi và dòng Khâm Thiên Tứ Hóa kèm trích dẫn nguồn.
Ứng Dụng GraphRAG cho Cơ Sở Tri Thức Mệnh Lý: Đồ Thị Ngữ Nghĩa từ Tinh Diệu đến Cung Vị
Cách chúng tôi chuyển 2.758 tệp và 1,538 triệu dòng tri thức mệnh lý thành đồ thị Neo4j (343 nút / 679 quan hệ) và tích hợp với tìm kiếm véc-tơ Qdrant để xây hệ phân tích lá số dùng cơ chế hợp nhất bằng chứng ba lớp.
117 Quy Tắc Cứng cho Logic Mệnh Lý: Định Nghĩa Biên Giới của Các Sự Kiện Tứ Hóa Bất Khả
Thách thức lớn nhất của AI mệnh lý không phải khả năng sinh văn bản — mà là ngăn nó phát biểu những sự kiện mệnh lý bất khả. Bài viết này mô tả cách chúng tôi định nghĩa 117 quy tắc cứng (41 quy tắc Tứ Hóa + 49 quy tắc cách cục + 17 chỉ báo cốt lõi) kèm ví dụ thực tế.
Đường Mũi Tên trong Lưới 3×3 Thần Số Học: Trường Phái Đài Loan vs. Pythagoras
"Thần số học lưới 3×3" phổ biến tại Đài Loan và hệ Pythagoras phương Tây định nghĩa Arrow Lines rất khác nhau. Bài này trình bày cả hai cách tính và giải thích chuẩn mà chúng tôi chọn — cùng lý do.
Tiêu chuẩn bên ngoài và nguồn sơ cấp
Các nguồn sơ cấp này định hướng nội dung trang. Đây là chuẩn đối chiếu, không phải sự chứng thực của bên thứ ba.
Current Machine Audit Snapshot
This block uses only traceable local audit data. No unsupported metrics or model claims are added.
- data/state-machine/i18n-parity.json: 8,036 parent URLs, 7,976 articles.
- data/kb-machine-audit.json: 3,238 source files, 0 missing coverage, 0 orphan chunks.
- data/discovery-surface-audit.json: 0 errors, 0 warnings.
- data/sla-report.json: critical / 5 critical, 0 warnings.
Content Maintenance And Update Decision
This block makes governance-page content machine-checkable: every page must disclose its source artifacts, related pages, and the gate that reports update needs.
Update Decision
This is not static copy. When source artifacts, related policies, public metrics, or generators change, AI Ops reports evidence and an AI agent decides whether the page needs edits.
Human Boundary
Systems detect, report, and preserve machine-readable evidence. Codex/Claude agents perform final judgment and repair.
Verification Command
node scripts/verify-trust-pages.js --check
data/state-machine/public-bench.jsondata/kb-machine-audit.jsondata/public-claim-registry.json- Related governance pages: methodology · benchmark · System Card · Transparency Report
- Update flow:
npm run update:trust-pages→npm run test:trust
Verifiable Evidence Layer
This block is not a narrative claim. Each core assertion has a claim id, source JSON, hash, and a repeatable verification command. Public pages disclose governance evidence without exposing source code, secrets, private data, or exploitable attack details.
| Claim ID | Verifiable value | Status | Owner | Source and verification |
|---|---|---|---|---|
| claim.public-url-manifest.indexable-count Public URL and canonical inventory |
38,965 indexable URLs | verified | sitewide | node scripts/generate-public-evidence-manifest.js --dry |
| claim.trust-pages.audit-pass-rate Trust page machine audit |
180/180 pass | verified | sitewide | node scripts/verify-trust-pages.js --check |
| claim.discovery-surface.zero-errors AI discovery surface audit |
{"errors":0,"warnings":0} | verified | sitewide | node scripts/verify-discovery-surface.js |
| claim.structured-data.jsonld-errors JSON-LD / structured data audit |
{"structured_data_invalid_files":0,"breadcrumb_count":28274,"faq_count":27506,"dataset_count":30,"article_count":27406} | verified | sitewide | node scripts/site-machine-audit.js |
| claim.status.sla-state Status page SLA source |
critical / 5 critical, 0 warnings | verified | sitewide | node scripts/generate-status-page.js |
| claim.provider-alignment.openai-anthropic-gemini OpenAI / Anthropic / Google Gemini benchmark alignment |
benchmark alignment only unless code/config evidence exists | verified | sitewide | node scripts/verify-public-evidence.js --check |
| claim.transparency-report.sha256 Transparency report SHA-256 anchor |
{"report":"transparency/report-2026-Q3.json","sha256":"47b09e2ca4e8b8fe9dffdfaccef3b11212de9ee3a8a14badca8044e2481203c5"} | verified | sitewide | node scripts/update-transparency-current-data.js |
| claim.release-integrity.gpg-signing GPG signing status |
GPG signing configured locally; GitHub verification pending | github_verification_pending | sitewide | gpg --list-secret-keys --keyid-format=long && git log -1 --show-signature |
System Card V2.0: Technical Transparency Layer
This layer publishes the technical governance evidence that can be safely disclosed: architecture, data sources, AI-use boundaries, quality gates, release integrity, and provider alignment. Source code, secrets, exploitable attack details, and private data remain out of scope.
Public architecture
Cloudflare Pages/Workers, R2/D1/KV/Pagefind, and local generation scripts form the public-site and governance publication chain. Public pages disclose behavior, state, and traceable sources, not secrets or internal permissions.
AI-use disclosure
AI-assisted workflows are used for knowledge-base retrieval, cross-checking, and error detection. Governance documents are benchmarked against OpenAI, Anthropic, and Google Gemini public frameworks. Production model usage is disclosed only when code/config evidence exists.
Quality and safety gates
Governance page audit 180/180 passing, JSON-LD errors 0, discovery-surface errors 0. Status pages report critical / 5 critical, 0 warnings as-is.
Data traceability
Knowledge base 32,724 chunks, TM 789,031 entries, AI answer-ready 7,976/7,976. Public metrics trace to data/state-machine/*, data/*audit*.json, and transparency reports.
| Governance area | OpenAI | Anthropic | Google Gemini | Starnum implementation evidence |
|---|---|---|---|---|
| Model/system-card disclosure | OpenAI models + safety docs | Claude model docs + system/model cards | Gemini model docs + safety settings | system-card, model-card, methodology, benchmark, transparency-log |
| Safety evaluation and use boundaries | Safety best practices / deployment checklist | Responsible Scaling / safety policy | Gemini safety controls / policy | AI safety, acceptable-use, ethics, risk-boundary copy, crawler policy audit |
| Data governance | Data controls / privacy controls | privacy and data handling docs | Gemini API data governance references | privacy, ai-data-governance, KB/TM source tracking, SHA-256 hashes |
| Monitoring and release | production checklist / eval discipline | system-card transparency discipline | model/version documentation discipline | deploy.js, status.html, SLA report, trust-pages-machine-audit, sitemap/hreflang audits |
- Sources: data/state-machine/model-card.json, public-bench.json, trust-pages.json, security-headers.json.
- Sources: data/trust-pages-machine-audit.json, data/discovery-surface-audit.json, data/ai-answer-readiness-audit.json.
- Sources: data/kb-machine-audit.json, data/tm/quality-audit-report.json, data/sla-report.json.
- Official benchmark docs checked: 2026-07-30; links are listed in the OpenAI / Anthropic / Google Gemini alignment table.
The V2.0 goal is not more claims; it separates implemented controls from planned controls. Production usage, benchmark alignment, status exceptions, GPG signing, and SLA breaches are disclosed from source data.
Release Integrity And GPG
GPG signing configured locally. signingkey=0934DFA0EDA6363A. GitHub verification pending until the public key upload and Verified badge are confirmed.
OpenAI / Anthropic / Google Gemini Alignment
The governance surface is benchmarked against the three public frameworks: model docs, system/model cards, safety evaluation, data governance, and use policies. This is benchmark alignment, not a claim that every provider is active in production inference. Official docs checked: 2026-07-30
| Provider | Governance focus | Starnum disclosure | Official source |
|---|---|---|---|
| OpenAI | Model documentation, latest model notes, safety best practices, and data controls. | No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks. | https://platform.openai.com/docs/models |
| Anthropic | Claude model documentation, system/model cards, Responsible Scaling, and safety policy. | No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks. | https://docs.anthropic.com/en/docs/about-claude/models |
| Google Gemini | Gemini API model documentation, safety settings, data governance, and platform policy. | No verifiable production model setting was found in the production code scan; providers are listed as governance benchmarks. | https://ai.google.dev/gemini-api/docs/models |