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ProblemMap/GlobalFixMap/OCR_Parsing/images_and_figures.md
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# Images and Figures: OCR Parsing Guardrails
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Stabilize text extraction around inline images, charts, and figures. Prevent figure captions or axis labels from bleeding into body text, and preserve semantic anchors for later retrieval.
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## Open these first
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- OCR end to end checklist: [ocr-parsing-checklist.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ocr-parsing-checklist.md)
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- Snippet and citation schema: [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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- Retrieval traceability: [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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- Chunking checklist: [chunking-checklist.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md)
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## Acceptance targets
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- ΔS(question, retrieved) ≤ 0.45 on captioned answers
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- Coverage ≥ 0.70 for questions tied to figure anchors
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- λ remains convergent across three paraphrases
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- Captions and labels stored separately from body text
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---
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## Typical failure signatures → fix
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- **Figure captions merged with paragraphs**
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Split by bbox banding and assign `figure_caption`. Keep paragraph tokens clean.
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- **Axis labels or legend entries treated as running text**
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Extract into `figure_metadata.axis_labels` and `figure_metadata.legend`. Never merge into narrative.
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- **Scanned figure with embedded text**
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Route figure OCR separately. Keep `figure_id`, `text_extracted`, and bounding box. Tie back to figure image reference.
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- **Multi-column figure bleed**
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If caption spans columns, capture as caption block, not as content. Anchor to `figure_id`.
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- **Images with no OCR text**
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Provide stub with `figure_id`, `bbox`, and `alt_text` if known. Maintain traceability.
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---
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## Fix in 60 seconds
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1) **Detect figure zones**
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Identify bounding boxes flagged as images or graphics. Assign `figure_id`.
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2) **Isolate captions**
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If text appears immediately above/below the figure and repeats formatting (italic, smaller font), tag as caption.
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3) **Route labels**
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Apply heuristic rules for x-axis, y-axis, legend. Store under `figure_metadata`.
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4) **Clean narrative**
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Remove all figure-related text from `text_clean`. Retain only in figure structures.
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5) **Probe retrieval**
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Ask a figure-specific question. If ΔS ≤ 0.45 and λ stable, cleanup succeeded.
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---
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## Minimal recipes by engine
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- **Google Document AI**
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Use `layout.figure` and boundingPoly. Capture associated `paragraph` blocks as captions when within ±10% of figure bbox.
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- **AWS Textract**
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Detect `BlockType=KEY_VALUE_SET` around figure images. Treat them as labels, route into `figure_metadata`.
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- **Azure OCR**
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Use boundingRegions and detect blocks adjacent to figures. Anchor captions if directly above/below polygon.
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- **ABBYY**
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In XML, `<block type="Picture">` + following `<par>` → caption. Inline text with picture coordinates goes to figure metadata.
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- **PaddleOCR**
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Split text lines overlapping with figure bbox. Store separately as figure text, not narrative.
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---
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## Data contract additions for figures
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```
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{
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"figure\_id": "fig3",
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"bbox": \[x0,y0,x1,y1],
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"caption": "Figure 3: Error rate across embedding sizes.",
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"figure\_metadata": {
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"axis\_labels": \["tokens","ΔS"],
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"legend": \["baseline","with WFGY"],
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"text\_extracted": "0.45, 0.30..."
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},
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"section\_id": "4.2",
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"page": 12,
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"source\_url": "..."
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}
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```
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Mandatory: all figure text lives in `figure_metadata` or `caption`, never in `text_clean`.
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---
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## Verification
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- **Leak check**: ensure no caption/axis strings appear in `text_clean`.
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- **Figure QA**: ask "what does fig3 show?" — answer must cite `figure_id`.
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- **ΔS probe**: figure-specific questions yield ΔS ≤ 0.45.
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- **λ probe**: paraphrases about same figure converge.
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---
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## Copy-paste LLM prompt
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```
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You have TXT OS and WFGY Problem Map.
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For figure-linked snippets:
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* use text\_clean for reasoning,
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* use caption and figure\_metadata for figure answers,
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* cite figure\_id.
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Tasks:
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1. If figure text leaks into body, fail fast and return fix reference (ocr-parsing-checklist, data-contracts, retrieval-traceability).
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2. Return JSON:
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{ "citations":\["fig3"], "answer":"...", "λ\_state":"...", "ΔS":0.xx, "next\_fix":"..." }
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```
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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|------|------|--------------|
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| **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>” |
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| **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 |
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---
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### 🧭 Explore More
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| Module | Description | Link |
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|-----------------------|----------------------------------------------------------|----------|
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| 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) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| 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) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| 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) |
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| 🧙♂️ 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) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> <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).
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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