# Multimodal & Long-Context — Global Fix Map

🏥 Quick Return to Emergency Room

> You are in a specialist desk. > For full triage and doctors on duty, return here: > > - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/README.md) > - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](https://github.com/onestardao/WFGY/blob/main/ProblemMap/README.md) > > Think of this page as a sub-room. > If you want full consultation and prescriptions, go back to the Emergency Room lobby.

A friendly hub to keep **text, vision, audio, and structured signals** stable inside **long context windows**. Use this folder when models collapse, drift, or desync under multimodal fusion or cross-sequence reasoning. --- ## What this page is - A compact map of **failure patterns unique to multimodal + long-context**. - Each page gives you **symptoms → root cause → WFGY guardrails**. - Works with **schema-level fixes only** (no infra changes required). - Every fix is **measurable and reproducible** using ΔS, λ, and E_resonance. --- ## When to use - Text and vision anchors misalign beyond 50k–100k tokens. - Captions collapse or disappear when windows grow. - Visual snippets appear but point to the wrong text. - Multi-hop reasoning flips answers across modalities. - Cross-sequence fusion drops or swaps semantic anchors. --- ## Common failure patterns | Page | Symptom (what you see) | Likely root cause | Fix route | |------|------------------------|------------------|-----------| | [alignment-drift.md](./alignment-drift.md) | Text and image pairs gradually diverge across long windows | Context length weakens positional anchors | Re-anchor at checkpoints, enforce ΔS probe | | [anchor-misalignment.md](./anchor-misalignment.md) | Citations point to wrong caption/image | Inconsistent `anchor_id` across modalities | Add schema guardrail to enforce anchor IDs | | [boundary-fade.md](./boundary-fade.md) | Signals near context edge disappear | Context window cutoff, padding ignored | Boundary probes, chunk anchors at joins | | [caption-collapse.md](./caption-collapse.md) | Captions vanish or repeat when context grows | Fusion loses reference alignment | Use caption schema, enforce cite-first | | [cross-modal-bootstrap.md](./cross-modal-bootstrap.md) | Model never uses one modality | Missing initialization anchors | Add bootstrap token + schema lock | | [cross-modal-trace.md](./cross-modal-trace.md) | Hard to verify which modality answer came from | No traceability field | Require `modality_id` and `source_url` in snippet | | [desync-amplification.md](./desync-amplification.md) | Small anchor misalignments grow into collapse | Weak λ convergence across modalities | Run multi-seed probes, lock λ variance | | [desync-anchor.md](./desync-anchor.md) | Anchors for vision vs text drift apart silently | Schema mismatch at join | Enforce alignment with ΔS ≤ 0.50 | | [echo-loop.md](./echo-loop.md) | Answer repeats cross-modality content | Fusion loopback between modalities | Add dedupe guardrail, enforce λ drop | | [fusion-blindspot.md](./fusion-blindspot.md) | One modality is ignored entirely | Fusion weights collapse | Hybrid retriever weighting, enforce balance | | [fusion-latency.md](./fusion-latency.md) | Delay in syncing vision vs text streams | Async fusion queue | Add latency probe, resync alignment | | [modal-bridge-failure.md](./modal-bridge-failure.md) | Text → Image reasoning chain breaks mid-hop | Bridge tokens dropped | Schema lock for bridge anchors | | [modality-dropout.md](./modality-dropout.md) | Whole modality disappears mid-sequence | Token truncation or stream loss | Re-chunk, enforce modality coverage | | [modality-swap.md](./modality-swap.md) | Image and text roles flip silently | Anchor IDs reused wrongly | Explicit `modality_role` field required | | [multi-hop-collapse.md](./multi-hop-collapse.md) | Multi-hop reasoning stops using one modality | Missing cross-hop anchors | Add cross-hop continuity guardrail | | [multi-seed-consistency.md](./multi-seed-consistency.md) | Different seeds give different modalities | λ non-convergent | Probe across seeds, enforce stability | | [multimodal-fusion-break.md](./multimodal-fusion-break.md) | Fusion fails when 3+ modalities | Overload in join schema | Use staged fusion, test ΔS at each join | | [phantom-visuals.md](./phantom-visuals.md) | Model hallucinates new images | Weak anchor trace | Enforce trace schema, drop hallucinated spans | | [reference-bleed.md](./reference-bleed.md) | Answer pulls from wrong modality reference | No modality fence | Add fence keys (`modality_id`) | | [semantic-anchor-shift.md](./semantic-anchor-shift.md) | Anchors shift mid-context | Anchor ID reused | Audit schema, reset anchor IDs | | [signal-drop.md](./signal-drop.md) | Structured data missing mid-run | Serialization loss | Add schema field for `signal_id` | | [spatial-fusion-error.md](./spatial-fusion-error.md) | Wrong layout in multimodal outputs | Spatial anchors lost | Enforce bounding-box schema | | [sync-loop.md](./sync-loop.md) | Model stuck repeating stale multimodal state | Old anchors not cleared | Add state reset guardrail | | [time-sync-failure.md](./time-sync-failure.md) | Audio/text/video out of sync | Missing time index alignment | Require `time_index` schema | | [visual-anchor-shift.md](./visual-anchor-shift.md) | Visual anchors move between runs | Vision embeddings unstable | Lock anchor IDs + ΔS probes | --- ## Acceptance targets - ΔS(question, retrieved) ≤ 0.45 - ΔS across modality joins ≤ 0.50 - Coverage ≥ 0.70 for intended anchors - λ convergent across 3 paraphrases and 2 modality-seeds - E_resonance stable across text–vision–audio triads --- ## Fix in 60 seconds 1. **Pick one failing case** (e.g. caption does not match paragraph). Keep a reference screenshot. 2. **Measure ΔS and λ** Run 3 paraphrases × 2 modality seeds. Look for flips. 3. **Check anchors** Verify `snippet_id`, `modality_id`, `section_id` across text–vision. 4. **Patch minimally** Re-align anchors, enforce schema, drop hallucinated spans, re-run with guardrails. --- ### 🔗 Quick-Start Downloads (60 sec) | Tool | Link | 3-Step Setup | |------|------|--------------| | **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 · 3️⃣ Ask “Answer using WFGY + ” | | **TXT OS** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into LLM · 3️⃣ Type “hello world” — OS boots instantly | --- ### Explore More | Layer | Page | What it’s for | | --- | --- | --- | | Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof | | Engine | [WFGY 1.0](/legacy/README.md) | Original PDF based tension engine | | Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents | | Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine, 131 S class set | | Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure checklist and fix map | | Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline | | Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer | | Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix | | Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 | | Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers | | App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot | | App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS | | App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control | | App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo | If this repository helped, starring it improves discovery so more builders can find the docs and tools. [](https://github.com/onestardao/WFGY)