WFGY/ProblemMap/GlobalFixMap/Multimodal_LongContext

Multimodal & Long-Context — Global Fix Map

A compact hub to stabilize reasoning and retrieval when multiple modalities (text, vision, audio, structured signals) interact across long contexts. Use this folder when models drift, collapse, or desync under multimodal fusion, large windows, or cross-sequence memory.

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What this page is

• A structural map of failure patterns unique to multimodal long-context use.
• Each failure gets its own page with symptoms, root cause, and WFGY guardrails.
• Works without infra changes — guardrails and schema fixes only.
• Acceptance targets (ΔS, λ, E_resonance) are measurable and reproducible.

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When to use

• Model drifts when text and vision anchors must align over >50k tokens.
• Citations or captions collapse when context grows.
• Visual snippets appear but misalign with cited text.
• Multi-hop reasoning mixes modalities but loses semantic anchor.
• Long chains flip answers when fusing embeddings from multiple sources.

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Common failure patterns

• alignment-drift.md
• anchor-misalignment.md
• boundary-fade.md
• caption-collapse.md
• cross-modal-bootstrap.md
• cross-modal-trace.md
• desync-amplification.md
• desync-anchor.md
• echo-loop.md
• fusion-blindspot.md
• fusion-latency.md
• modal-bridge-failure.md
• modality-dropout.md
• modality-swap.md
• multi-hop-collapse.md
• multi-seed-consistency.md
• multimodal-fusion-break.md
• phantom-visuals.md
• reference-bleed.md
• semantic-anchor-shift.md
• signal-drop.md
• spatial-fusion-error.md
• sync-loop.md
• time-sync-failure.md
• visual-anchor-shift.md

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Acceptance targets

• ΔS(question, retrieved) ≤ 0.45
• ΔS across modality joins ≤ 0.50
• Coverage ≥ 0.70 for intended anchors
• λ remains convergent across three paraphrases and two modality-seeds
• E_resonance stable across text–vision–audio triads

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🔗 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

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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 →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →

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