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140 lines
6.6 KiB
Markdown
140 lines
6.6 KiB
Markdown
# Visual Anchor Shift — 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 **visual anchors** (bounding boxes, frame IDs, or pixel regions) drift across long context windows, the model misaligns references.
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This creates subtle but cascading failures where reasoning cites the **wrong visual region**, even if the textual trace looks correct.
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---
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## What this page is
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- A diagnostic page for **visual anchor drift** in multimodal RAG and reasoning.
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- Structural guardrails to lock anchor stability across long sessions.
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- Copy-paste protocols to enforce traceability in image/video reasoning.
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---
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## When to use
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- Bounding boxes shift slightly across frames, causing references to drift.
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- Captions point to a visual anchor that no longer overlaps with the intended object.
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- Long video QA: frame ID references lag or accelerate relative to transcript anchors.
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- Model hallucinates content that appears plausible but is visually absent.
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- Answers remain fluent, but **anchor→object mapping is wrong**.
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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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- [Anchor Misalignment](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/anchor-misalignment.md)
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- [Reference Bleed](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/reference-bleed.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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---
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## Common failure patterns
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- **Frame creep** — frame IDs drift after long video sessions.
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- **Box shift** — bounding boxes move across updates, yet still labeled the same.
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- **Region blur** — multiple boxes merge, and anchor becomes ambiguous.
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- **Temporal offset** — captions cite the right object but wrong frame interval.
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---
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## Fix in 60 seconds
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1. **Anchor tagging**
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- Tag anchors with `{frame_id | bbox_id | timestamp}`.
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- Reject any reference missing full anchor tuple.
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2. **Cross-frame validation**
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- Require IoU ≥ 0.7 across frames for the same anchor ID.
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- If IoU < 0.7, treat as a new anchor.
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3. **ΔS probe for drift**
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- Compute ΔS(anchor_t, anchor_t+Δ).
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- If ΔS ≥ 0.60, suspect anchor drift.
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4. **Stabilize with BBCR**
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- Re-anchor drifting objects with bridge check.
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- If variance persists, force new anchor ID.
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5. **Audit trail**
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- Store anchor table: `{anchor_id | modality | coords | IoU history}`.
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- Require cite-then-answer with explicit anchor IDs.
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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: Detect and repair visual anchor drift in long multimodal sessions.
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Steps:
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1. Verify each anchor has {frame_id, bbox_id, timestamp}.
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2. Compute IoU across frames. If IoU < 0.7, mark drift.
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3. If drifted, either re-anchor with BBCR or assign new ID.
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4. Report:
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- stable anchors
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- drifted anchors
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- ΔS values and λ states
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- final citation mapping
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````
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---
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## Acceptance targets
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* 100% anchors carry `{frame_id, bbox_id, timestamp}` metadata.
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* IoU drift ≤ 0.30 across 10 frames.
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* ΔS(anchor\_t, anchor\_t+Δ) ≤ 0.45 after fix.
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* λ remains convergent across paraphrases.
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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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