WFGY/ProblemMap

WFGY Problem Map 1.0 — Bookmark it. You'll need it.

16 reproducible failure modes in AI systems — with fixes (MIT).
If this page saves you time, a ⭐ helps others find it.
Your plug-and-play semantic firewall — praised by users, no infra changes needed.

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Thanks everyone — we’ve just passed ⭐ 600 in 60 Days (we started at Jun 15).
Most people who find this page end up starring it — because WFGY solves real bugs.
WFGY Core is now live — the world’s tiniest reasoning engine (30-line TXT with Drunk Transformer).
Truly appreciate all the support — you made this happen! Read user feedback: Hero Log
⚡️ Fixing RAG hallucinations? This WFGY Core was designed to make LLMs reason first — grab it and see the difference.

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Quick access

• 🏥 Semantic Clinic (AI Triage Hub): Fix symptoms when you don’t know what’s broken →
• 🚀 Getting Started (Practical Implementation): Run a guarded RAG pipeline with WFGY →
• Beginner Guide: Identify & fix your first failure
• Diagnose by symptom: Fast triage table → Diagnose.md
• Visual RAG Guide (multi-dimensional): RAG Architecture & Recovery – Problem Map 2.0 — high-altitude view linking symptom × pipeline stage × failure class, with the exact recovery path.
• Multi-Agent Chaos (Map-B): Role Drift & Memory Overwrite →
• Field Reports: Real bugs & fixes from users
• TXT OS directory: Browse the OS repo
• 🧩 MVP Demos: Run minimal WFGY examples in mvp_demo →

• ❓ FAQ: Common questions & gotchas →
• 🔎 Retrieval Playbook: Practical fixes before changing models →
• 🧮 Rerankers: When & how to use them →
• 📑 Data Contracts: Snippets / citations / memory schema →
• 📚 Glossary: WFGY & RAG terms →
• 🌍 Multilingual Guide: CJK/RTL & cross-lingual RAG →
• 🔐 Privacy & Governance: Auditability & policy guardrails →

📌 This map isn’t just a list of bugs. It’s a diagnostic framework — a semantic X-ray for AI failure.
Each entry represents a systemic breakdown across input, retrieval, or reasoning.
WFGY doesn’t patch symptoms. It restructures the entire reasoning chain.

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Quick-Start Downloads (60 sec)

Tool	Link	3-Step Setup
WFGY 1.0 PDF	Engine Paper	1) Download 2) Upload to your LLM 3) Ask: “answer using WFGY + ”
TXT OS (plain-text OS)	TXTOS.txt	1) Download 2) Paste into any LLM chat 3) Type “hello world” to boot

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🧪 One-click sandboxes — run WFGY instantly

Run lightweight diagnostics with zero install, zero API key. Powered by Colab.

These 4 CLI tools demonstrate WFGY's diagnostic power — each maps directly to one of the 16 failure modes. Other problems (like deployment bugs or reasoning collapse) are already handled inside WFGY,
but are not exposed as CLI yet — either because they require full context, or operate at system level.
More tools coming soon.

⭐ ΔS Diagnostic (MVP) — Measure semantic drift

How to use

1. Click the badge ▸ Runtime ▸ Run all
2. Replace prompt and answer
3. See ΔS score and suggested fix

What it detects:
No.2 – Interpretation Collapse
(Prompt and output look fine, but meaning is mismatched)

⭐ λ_observe Checkpoint — Mid-step re-grounding

How to use

1. Run all cells
2. Edit prompt, step1, step2
3. Compare ΔS before vs after

If ΔS drops → checkpoint worked
If not → try BBCR fallback

What it fixes:
No.6 – Logic Collapse & Recovery
(Multi-step reasoning veers off and needs semantic midpoints)

⭐ ε_resonance — Domain-level semantic harmony

How to use

1. Run all cells
2. Edit prompt and answer
3. Optionally update the anchors list

Higher ε → deeper resonance with domain anchors

What it explains:
No.12 – Philosophical Recursion
(Looping abstraction caused by mismatched domains)

⭐ λ_diverse — Answer-set diversity check

How to use

1. Run all cells
2. Fill in prompt and answers (≥ 3 examples)
3. See λ_diverse score

Low (≤ 0.40) — near duplicates
Medium (0.40–0.70) — partial variety
High (≥ 0.70) — rich semantic variation

What it detects:
No.3 – Long Reasoning Chains
(Early steps diverge silently across variants)

⚠️ Warning ⚠️ These tools may trigger existential reflection — especially if you've spent months chasing ghost bugs in your RAG stack.

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Failure catalog (with fixes)

#	Problem Domain	What breaks	Doc
1	Hallucination & Chunk Drift	Retrieval returns wrong/irrelevant content	hallucination.md
2	Interpretation Collapse	Chunk is right, logic is wrong	retrieval-collapse.md
3	Long Reasoning Chains	Drifts across multi-step tasks	context-drift.md
4	Bluffing / Overconfidence	Confident but unfounded answers	bluffing.md
5	Semantic ≠ Embedding	Cosine match ≠ true meaning	embedding-vs-semantic.md
6	Logic Collapse & Recovery	Dead-end paths; needs controlled reset	logic-collapse.md
7	Memory Breaks Across Sessions	Lost threads, no continuity	memory-coherence.md
8	Debugging is a Black Box	No visibility into failure path	retrieval-traceability.md
9	Entropy Collapse	Attention melts, incoherent output	entropy-collapse.md
10	Creative Freeze	Flat, literal outputs	creative-freeze.md
11	Symbolic Collapse	Abstract/logical prompts break	symbolic-collapse.md
12	Philosophical Recursion	Self-reference/paradoxes crash reasoning	philosophical-recursion.md
13	Multi-Agent Chaos	Agents overwrite/misalign logic	Multi-Agent Problems
14	Bootstrap Ordering	Services fire before deps ready	bootstrap-ordering.md
15	Deployment Deadlock	Circular waits (index⇆retriever, DB⇆migrator)	deployment-deadlock.md
16	Pre-Deploy Collapse	Version skew / missing secret on first call	predeploy-collapse.md

For #13 (Multi-Agent), see deep dives:
• Role Drift → multi-agent-chaos/role-drift.md
• Cross-Agent Memory Overwrite → multi-agent-chaos/memory-overwrite.md

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Why these 16 errors were solvable

WFGY does not just react; it gives semantic altitude. Core tools ΔS, λ_observe, and e_resonance help detect, decode, and defuse collapse patterns from outside the maze.

See the pipeline and recovery end-to-end:
→ RAG Architecture & Recovery

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Problem Maps Index (Map-A … Map-G)

These short IDs let you route quickly in issues/PRs/support threads.

Map ID	Map Name	Linked Issues	Focus	Link
Map-A	RAG Problem Table	#1, #2, #3, #5, #8	Retrieval-augmented generation failures	View
Map-B	Multi-Agent Chaos Map	#13	Coordination failures, role drift, memory overwrite	View
Map-C	Symbolic & Recursive Map	#11, #12	Symbolic logic traps, abstraction, paradox	View
Map-D	Logic Recovery Map	#6	Dead-end logic, reset loops, controlled recovery	View
Map-E	Long-Context Stress Map	#3, #7, #10	100k-token memory, noisy PDFs, long-task drift	View
Map-F	Safety Boundary Map	#4, #8	Overconfidence, jailbreak resistance, traceability	View
Map-G	Infra Boot Map	#14–#16	Ordering, boot loops, version skew, deadlocks	View

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Minimal quick-start

1. Open Beginner Guide → follow the symptom checklist.
2. Use the Visual RAG Guide to locate the failing stage.
3. Open the matching page above and apply the patch.
   Need definitions or common pitfalls? See FAQ · Glossary · Data Contracts · Retrieval Playbook.

Ask any LLM to apply WFGY (TXT OS makes it smoother):

I’ve uploaded TXT OS / WFGY notes.
My issue: \[e.g., OCR tables from scanned PDFs look fine but answers are wrong].
Which WFGY modules should I apply and in what order?

Status & difficulty

#	Problem	Difficulty*	Implementation
1	Hallucination & Chunk Drift	Medium	✅ Stable
2	Interpretation Collapse	High	✅ Stable
3	Long Reasoning Chains	High	✅ Stable
4	Bluffing / Overconfidence	High	✅ Stable
5	Semantic ≠ Embedding	Medium	✅ Stable
6	Logic Collapse & Recovery	Very High	✅ Stable
7	Memory Breaks Across Sessions	High	✅ Stable
8	Debugging Black Box	Medium	✅ Stable
9	Entropy Collapse	High	✅ Stable
10	Creative Freeze	Medium	✅ Stable
11	Symbolic Collapse	Very High	✅ Stable
12	Philosophical Recursion	Very High	✅ Stable
13	Multi-Agent Chaos	Very High	✅ Stable
14	Bootstrap Ordering	Medium	✅ Stable
15	Deployment Deadlock	High	⚠️ Beta
16	Pre-Deploy Collapse	Medium-High	✅ Stable

*Distance from default LLM behavior to a production-ready fix.

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Contributing / support

• Open an Issue with a minimal repro (inputs → calls → wrong output).
• PRs for clearer docs, repros, or patches are welcome.
• WFGY Project home: github.com/onestardao/WFGY
• TXT OS: github.com/onestardao/WFGY/tree/main/OS
• If this map helped you, a ⭐ helps more devs find it.

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🧭 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 →

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👑 Early Stargazers: See the Hall of Fame —
Engineers, hackers, and open source builders who supported WFGY from day one.

⭐ WFGY Engine 2.0 is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the Unlock Board.