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134 lines
6 KiB
Markdown
134 lines
6 KiB
Markdown
# Phantom Visuals — 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 models hallucinate visual regions that do not exist (ghost bounding boxes, fake diagrams, or nonexistent objects), fusion collapses.
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This page explains how to detect and prevent phantom visual generation in long multimodal sessions.
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---
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## What this page is
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- Guardrails for hallucinated visuals in text–image/video pipelines.
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- Minimal schema to force grounding in actual frames or regions.
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- Acceptance targets to measure and verify stability.
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---
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## When to use
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- The model cites an object not present in any frame.
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- Generated captions describe phantom regions or colors.
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- Bounding box coordinates are out of range or undefined.
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- Answers flip between different “visual evidence” each run.
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- Diagrams or charts are invented that were never uploaded.
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---
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## Open these first
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- [Multimodal Fusion Break](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/multimodal-fusion-break.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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- [Caption Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/caption-collapse.md)
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- [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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- [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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---
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## Common failure patterns
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- **Phantom bounding boxes**: cites `region_id` that was never stamped.
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- **Invented objects**: describes entities absent from ground-truth frames.
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- **Ghost captions**: text generated about visual details that do not exist.
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- **Out-of-bounds references**: coordinates or time stamps not in the source.
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- **Visual-plan instability**: repeated runs yield different “phantom” evidence.
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---
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## Fix in 60 seconds
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1. **Require stamped IDs**
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- Every visual mention must cite `{frame_id, region_id}` from input.
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- Forbid free-text region descriptions without anchors.
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2. **Cross-check ΔS**
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- ΔS(text, vision) must be ≤ 0.45.
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- If ΔS ≥ 0.60 and no matching anchor exists, stop and reject the claim.
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3. **Schema lock**
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- Use `{object | attribute | anchor_id}` schema.
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- Missing anchors = invalid response.
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4. **Clamp hallucination variance**
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- Apply BBAM when λ flips divergent across runs.
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- If phantom persists, bridge with BBCR and force re-alignment.
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5. **Trace visual contract**
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- Log all cited `frame_id, region_id`.
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- Require reproducibility across three 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: Detect and block phantom visual hallucinations.
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Protocol:
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1. Require every visual claim to cite {frame_id, region_id}.
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2. If an object is described without anchor, stop and return “phantom visual”.
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3. Report ΔS(text, vision) and λ across 3 paraphrases.
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4. Apply BBAM for variance clamp. If collapse persists, insert BBCR bridge.
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5. Return: {Anchor Table, ΔS log, λ states, Final Answer}.
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````
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---
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## Acceptance targets
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* ΔS(text, vision) ≤ 0.45
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* λ remains convergent across three paraphrases
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* No phantom bounding boxes or invented regions
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* Reproducible evidence across seeds and paraphrases
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* Trace log covers all cited regions
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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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| Module | Description | Link |
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| --- | --- | --- |
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| WFGY Core | Canonical framework entry point | [View](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map | Diagnostic map and navigation hub | [View](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Tension Universe Experiments | MVP experiment field | [View](https://github.com/onestardao/WFGY/tree/main/TensionUniverse/Experiments) |
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| Recognition | Where WFGY is referenced or adopted | [View](https://github.com/onestardao/WFGY/blob/main/recognition/README.md) |
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| AI Guide | Anti-hallucination reading protocol for tools | [View](https://github.com/onestardao/WFGY/blob/main/AI_GUIDE.md) |
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> If this repository helps, starring it improves discovery for other builders.
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> [](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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