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134 lines
5.9 KiB
Markdown
134 lines
5.9 KiB
Markdown
# Cross-Modal Trace — 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 text, image, or video claims cannot be traced to an anchor, drift accumulates and phantom evidence appears.
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This page defines the schema and checks that guarantee traceability across all modalities.
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---
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## What this page is
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- Schema rules for linking text answers back to visual or audio anchors.
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- Audit trail structure to prevent orphan claims.
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- Quick checks for reproducibility across long multimodal contexts.
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---
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## When to use
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- Citations appear but no frame, region, or timestamp is attached.
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- Audio transcript and video caption disagree about speaker or object.
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- Text answers cite nonexistent visuals or wrong timecodes.
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- Multi-day multimodal sessions lose track of the original anchor evidence.
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- OCR captions or ASR transcripts collapse after long context windows.
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---
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## Open these first
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- [Phantom Visuals](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/phantom-visuals.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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- [Alignment Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Multimodal_LongContext/alignment-drift.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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- **Orphan claims**: answer references content without `frame_id` or `timestamp`.
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- **Cross-modal mismatch**: transcript says "dog" while video shows only a cat.
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- **Anchor drift**: same frame cited differently across runs.
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- **Phantom evidence**: answer claims diagrams, sounds, or visuals never uploaded.
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- **Trace break**: anchor IDs vanish during long-session context merging.
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---
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## Fix in 60 seconds
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1. **Enforce anchor schema**
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- Require `{frame_id | region_id | timestamp | source_id}` for all claims.
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- Forbid free-text references without anchors.
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2. **Trace Table**
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- Build a table with `{claim | anchor_id | snippet | modality}`.
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- Each row must be auditable.
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3. **ΔS probe**
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- Compute ΔS(text, anchor).
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- Require ≤ 0.45 for stability. Reject claims if ≥ 0.60 and no match exists.
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4. **Cross-modal reconciliation**
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- Compare text vs audio vs vision anchors.
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- If mismatch, flag as drift and escalate.
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5. **Audit trail log**
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- Keep `trace_id`, `mem_rev`, `anchor_refs`.
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- Verify 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: Enforce cross-modal traceability.
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Protocol:
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1. Require every claim to cite {frame_id, region_id, timestamp, source_id}.
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2. Build a Trace Table with {claim, anchor_id, snippet, modality}.
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3. Report ΔS(text, anchor). Reject phantom if ΔS ≥ 0.60 with no match.
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4. Compare across modalities. If mismatched, return “cross-modal drift”.
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5. Return {Trace 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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* Every claim has a valid anchor ID.
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* ΔS(text, anchor) ≤ 0.45.
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* λ remains convergent across paraphrases.
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* No phantom evidence across seeds.
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* Trace Table reproducible across three runs.
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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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