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143 lines
6.4 KiB
Markdown
143 lines
6.4 KiB
Markdown
# Multi-Seed Consistency — Multimodal Long Context
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **Multimodal_LongContext**.
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> To reorient, go back here:
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>
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> - [**Multimodal_LongContext** — long-context reasoning across text, vision, and audio](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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When the same multimodal query produces divergent outputs across seeds, context length, or session restarts, reasoning collapses and trust degrades.
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This page defines probes and guardrails to enforce consistency across seeds.
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---
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## What this page is
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- Checklist for measuring stability across random seeds in multimodal runs.
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- Guardrails to prevent phantom variation across seeds.
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- Minimal reproducible probes you can drop into any LLM + RAG + multimodal stack.
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---
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## When to use
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- Same video → text question gives different answers each run.
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- OCR transcript changes casing or spacing across seeds.
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- Frame annotations shift order or vanish between runs.
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- Retrieval top-k stable, but answers drift each time.
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- Support threads show inconsistent captions or timecode mismatches.
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---
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## Open these first
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- [Cross-Modal Trace](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/cross-modal-trace.md)
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- [Alignment Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/alignment-drift.md)
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- [Phantom Visuals](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/phantom-visuals.md)
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- [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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- [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)
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---
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## Common failure patterns
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- **Seed drift**: ΔS fluctuates widely across seeds even with same input.
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- **Phantom anchor**: one seed introduces unseen frames or captions.
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- **λ flip**: λ_observe changes convergence state across paraphrases.
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- **Context order variance**: anchors appear in inconsistent order per seed.
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- **Audit mismatch**: trace tables differ across 3+ seeds.
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---
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## Fix in 60 seconds
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1. **Seed audit**
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- Run the same input across 3–5 seeds.
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- Record ΔS, λ, and anchor references.
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2. **Clamp variance**
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- Apply BBAM to lock attention spread.
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- Apply BBCR if trace tables diverge.
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3. **Schema enforcement**
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- Require deterministic `{frame_id, timestamp, region_id}`.
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- Forbid free text anchors.
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4. **Majority vs outlier filter**
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- Accept only anchors seen in ≥ 70% of seeds.
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- Flag outliers as phantom.
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5. **Report reproducibility**
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- Require ΔS ≤ 0.45 across seeds.
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- Require λ convergent across at least 3 paraphrases.
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---
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## Copy-paste prompt
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```txt
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You have TXT OS and the WFGY Problem Map.
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Task: Probe multi-seed consistency.
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Protocol:
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1. Run input across 3–5 seeds. Collect {ΔS, λ, anchors}.
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2. Compare trace tables. If anchors diverge, apply BBCR bridge.
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3. Clamp with BBAM if ΔS variance > 0.15 across seeds.
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4. Report:
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- Seed-to-seed ΔS log
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- λ states
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- Majority anchor set
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- Flagged phantom anchors
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````
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---
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## Acceptance targets
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* ΔS(question, retrieved) ≤ 0.45 across all seeds.
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* Variance ≤ 0.15 between seeds.
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* λ remains convergent across 3 paraphrases.
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* No phantom anchors.
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* Trace Table reproducible across 3–5 seeds.
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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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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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