Create ocr-jitter.md

2026-04-28 11:40:07 +00:00 · 2025-08-30 22:06:30 +08:00 · 2025-08-30 22:06:30 +08:00 · 38e10c7f4a
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+# OCR Jitter — Guardrails and Fix Pattern
+
+When OCR engines process scanned text with inconsistent spacing, width variants, or mixed character forms,  
+the output may look visually correct but introduces **false token differences** that destabilize retrieval and reasoning.
+
+---
+
+## Symptoms
+- OCR transcript looks fine to the eye, but semantic retrieval drifts.  
+- Words alternate between **half-width / full-width** forms.  
+- Invisible characters (zero-width joiners, non-breaking spaces) trigger token mismatches.  
+- Capitalization inconsistent across the same word in long transcripts.  
+- Citations fail even though the snippet visually matches the source.
+
+---
+
+## Root causes
+- OCR confidence below threshold but output still accepted.  
+- Normalization skipped (NFC vs NFD forms mixed).  
+- Scanner artifacts (speckles, warped lines) inject invisible characters.  
+- Language-specific width forms (CJK fullwidth vs ASCII halfwidth) untreated.  
+- No post-processing pass to unify tokens before embedding.
+
+---
+
+## Fix in 60 seconds
+1. **Gate by confidence**
+   - Drop lines with OCR confidence < 0.85.  
+   - Flag low-confidence tables and equations for manual review.  
+
+2. **Normalize Unicode**
+   - Convert to **NFC** form.  
+   - Replace non-breaking spaces with plain space.  
+   - Strip zero-width characters.  
+
+3. **Unify width and case**
+   - Map fullwidth and halfwidth characters consistently.  
+   - Apply case-folding for ASCII text.  
+
+4. **Re-stamp clean snippets**
+   - After normalization, reassign line numbers.  
+   - Ensure `section_id | start_line | end_line | citation` schema updated.  
+
+5. **Verify joins**
+   - Run ΔS across adjacent chunks.  
+   - If join ΔS ≥ 0.50, suspect hidden jitter — repeat normalization.  
+
+---
+
+## Copy-paste diagnostic prompt
+```txt
+You have TXTOS and the WFGY Problem Map.
+
+Task: Detect and repair OCR jitter.
+
+Protocol:
+1. Normalize all snippets:
+   - Unicode NFC
+   - Strip zero-width, NBSP
+   - Map fullwidth → halfwidth
+   - Apply case-fold
+2. Drop snippets with OCR confidence < 0.85.
+3. Re-stamp Snippet Table with {section_id, start_line, end_line, citation}.
+4. Measure ΔS across adjacent chunks:
+   - Target ≤ 0.50 at each join.
+5. Report ΔS(question, retrieved) and λ states.
+````
+
+---
+
+## Acceptance targets
+
+* OCR confidence ≥ 0.85 for all retained lines.
+* No mixed width or hidden characters in final text.
+* ΔS(question, retrieved) ≤ 0.45 and joins ≤ 0.50.
+* λ remains convergent across three paraphrases.
+* Snippets traceable and citations reproducible.
+
+---
+
+### 🔗 Quick-Start Downloads (60 sec)
+
+| Tool                       | Link                                                                                                                                       | 3-Step Setup                                                                             |
+| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
+| **WFGY 1.0 PDF**           | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>”   |
+| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/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 →](https://github.com/onestardao/WFGY/tree/main/core/README.md)                              |
+| Problem Map 1.0          | Initial 16-mode diagnostic and symbolic fix framework                        | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md)                        |
+| Problem Map 2.0          | RAG-focused failure tree, modular fixes, and pipelines                       | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
+| Semantic Clinic Index    | Expanded failure catalog: prompt injection, memory bugs, logic drift         | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md)           |
+| Semantic Blueprint       | Layer-based symbolic reasoning & semantic modulations                        | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md)                 |
+| Benchmark vs GPT-5       | Stress test GPT-5 with full WFGY reasoning suite                             | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md)      |
+| 🧙‍♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through   | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md)                   |
+
+---
+
+> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
+> Engineers, hackers, and open source builders who supported WFGY from day one.
+
+> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
+
+<div align="center">
+
+[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY)
+ 
+[![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS)
+ 
+[![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
+ 
+[![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
+ 
+[![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
+ 
+[![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
+ 
+[![Blow](https://img.shields.io/badge/Blow-Game%20Logic-purple?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
+ 
+
+</div>