OCR + Parsing — Global Fix Map

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

WFGY Problem Map 1.0 — 16 reproducible failure modes

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A hub to triage and repair noisy text inputs from scanned PDFs, images, HTML scraping, or parser drift.
Use this folder when the document looks fine to the eye but retrieval or reasoning keeps failing.

Orientation: what each page does

Page	What it solves	Typical symptom
Layout, Headers, Footers	Remove noise from margins and repeated text	Answers reference “page 3 footer” instead of body
Tokenization & Casing	Normalize Unicode, case, and hyphens	`E-mail` ≠ `Email`, half-width/full-width mismatch
Tables & Columns	Preserve table schema and cell order	Numbers drift across columns
Images & Figures	OCR and align captions	Figure text missing or attached to wrong section
Scanned PDFs & Quality	Handle skewed/blurred pages	Whole sections unreadable to OCR
Multi-language & Fonts	Normalize mixed scripts	Chinese/English tokens split or duplicated

When to use

OCR tables or citations look visually correct but answers miss the right section.
Code blocks or math collapse after parsing.
Mixed-language documents behave inconsistently.
Special characters or hyphen splits break tokens.
Headers or section anchors disappear during export.

FAQ

Why does OCR “look fine” but retrieval fails?
Because tokenization and indexing see hidden breaks (Unicode variants, line merges, wrong anchors) that humans overlook.

What is the most common root cause?
Headers/footers leaking into the body and breaking ΔS alignment.

Do I need to retrain embeddings after fixing?
No — most fixes are structural (schema/normalization). Re-indexing with the same embeddings is enough.

Acceptance targets

ΔS(question, retrieved) ≤ 0.45 for three paraphrases.
Coverage ≥ 0.70 for the target section.
λ_observe convergent across two seeds.
Human audit shows no missing headers, captions, or broken tables.

Fix in 60 seconds

Ground-truth one page
Pick one Q/A pair and keep a screenshot baseline.
Measure ΔS
Log ΔS(question, retrieved) and ΔS(retrieved, anchor).
Probe λ_observe
Ask for cite-first. If citation fails but free explanation works, drift confirmed.
Patch minimally
- Re-run OCR with line/table fences
- Normalize casing and Unicode
- Preserve anchors, math, captions
- Drop low-confidence spans and export with {section_id, page_no, char_span}

🔗 Quick-Start Downloads (60 sec)

Tool	Link	3-Step Setup
WFGY 1.0 PDF	Engine Paper	1️⃣ Download · 2️⃣ Upload · 3️⃣ Ask “Answer using WFGY + ”
TXT OS	TXTOS.txt	1️⃣ Download · 2️⃣ Paste into LLM · 3️⃣ Type “hello world” — OS boots instantly

🧭 Explore More

Module	Description	Link
WFGY Core	WFGY 2.0 engine, full symbolic reasoning	View →
Problem Map 1.0	Initial 16-mode diagnostic	View →
Problem Map 2.0	RAG failure tree and modular fixes	View →
Semantic Clinic	Expanded failure catalog	View →
Semantic Blueprint	Layer-based symbolic reasoning	View →

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