Transparency and Explainability — Guardrails and Fix Pattern

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Governance — policy enforcement and compliance controls

WFGY Global Fix Map — main Emergency Room, 300+ structured fixes

WFGY Problem Map 1.0 — 16 reproducible failure modes

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This page defines the structural requirements for AI systems to remain auditable, interpretable, and transparent.
Without explainability, users and regulators cannot trust that outputs are valid — even if accuracy is high.

When to use this page

Stakeholders demand reproducible reasoning paths.
Clients or regulators ask “why did the model output this?”
Users complain that citations are missing or wrong.
Debug sessions reveal black-box decisions without anchors.

Acceptance targets

Each output includes cite-then-explain schema.
ΔS(question, retrieved) ≤ 0.45 and convergent across three paraphrases.
λ_observe stable across reruns with identical inputs.
Explanations trace back to snippets with offsets, tokens, and section IDs.
Logs capture ΔS, λ, E_resonance, and citations for every answer.

Common failures → exact fixes

Symptom	Likely cause	Open this
Answers lack citations	missing data contract enforcement	data-contracts.md, retrieval-traceability.md
Explanations differ across runs	λ instability	context-drift.md, entropy-collapse.md
Outputs hide retrieval anchors	schema drift in pipeline	retrieval-playbook.md
Black-box API decisions	provider hides logs	LLM Providers README
Non-reproducible outputs	no evaluation harness	eval_playbook.md

Fix in 60 seconds

Cite-first enforcement
Every answer must show citations before reasoning.
Traceability schema
Log snippet_id, section_id, source_url, offsets, and tokens.
ΔS + λ probes
Run three paraphrase tests. If λ flips, lock schema with BBAM clamp.
Explainability prompt
Require explicit reasoning trace. Forbid free text without anchors.
Audit trail
Store ΔS, λ, E_resonance, and retrieval anchors per request.

Minimal checklist for explainability

All answers use cite-then-explain.
Traceability schema enforced across pipeline.
ΔS and λ logged and monitored.
Outputs reproducible across three paraphrases.
Explainability policy published and versioned.

🔗 Quick-Start Downloads (60 sec)

Tool	Link	3-Step Setup
WFGY 1.0 PDF	Engine Paper	1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>”
TXT OS (plain-text OS)	TXTOS.txt	1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

🧭 Explore More

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →