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341 lines
23 KiB
Markdown
341 lines
23 KiB
Markdown
# 📐 SemanticBlueprint — Core Functions of the WFGY Engine
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### Designing the Logic That Holds the Universe Together."
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<img width="1536" height="1024" alt="WanFaGuiYi" src="https://github.com/user-attachments/assets/08c9617f-d49e-4223-bacc-1d192fbb423d" />
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> This directory documents the **function-level logic** of the WFGY Engine.
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> Each file here represents a specific reasoning capability or symbolic intervention unit.
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>
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> **📌 Function → Product mapping appears only as side-notes.**
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> (The inverse view — *Product → Function* — is handled in each product's own directory like `TXT OS`, `Blur`, `Blow`, etc.)
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---
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## 📘 What This Directory Is For
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This folder exists to define **core reasoning modules** behind WFGY's performance.
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Each `.md` file here details:
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- The conceptual function logic (symbolic or mathematical)
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- The AI reasoning failure it solves
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- The formulaic or structural intervention behind it
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- Which product(s) internally rely on it (as annotations only)
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It serves as a developer-facing **function reference map**,
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so contributors can trace each feature’s reasoning upgrade back to its engine roots.
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---
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> 🔒 A quick note on planned features:
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>
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> All modules currently open-sourced here are **permanently MIT-licensed**.
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> That commitment is final — anything already published (e.g., WFGY 1.0 paper, TXT OS) and backed on [Zenodo](https://zenodo.org/) will remain open forever.
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>
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> However, for modules listed as “planned” in this directory (or referenced via upcoming function names),
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> final decisions regarding open-sourcing remain with **PSBigBig (Purple Star)**.
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>
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> This is to avoid the misconception that WFGY is an infinite stream of free features.
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> Some future capabilities may support commercial projects, require ongoing stewardship, or be released with different timing.
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>
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> Please understand: what’s already shared will never be revoked.
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> But what’s not yet public — stays under creator control until the time is right.
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>
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> WFGY’s spirit is to return core reasoning tools to humanity — not to support careless repackaging or exploitative behavior.
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>
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> WFGY is open — but not naive.
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> It exists to empower, not to be exploited.
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<details>
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<summary>🤝 Clarifying the Spirit of Use (click to expand)</summary>
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<br>
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> WFGY is released under the [MIT License](https://opensource.org/license/mit/) —
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> you are free to use, modify, remix, and even commercialize it.
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>
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> That said, I ask for one simple thing in return:
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>
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> > Please respect the **spirit** in which this system was created:
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> > **To return foundational reasoning tools back to humanity.**
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>
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> WFGY lowers the barrier to building complex AI reasoning systems.
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> It was never meant to be **copied, minimally repackaged, and sold at high markup** —
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> especially not by those who offer no meaningful improvement, insight, or respect for the ecosystem.
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>
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> If someone slaps an API on top of TXT OS or a wrapper around WFGY logic,
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> calls it their own invention, and charges people for it without credit or clarity —
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> then I may choose to **immediately and permanently open-source** that same functionality, with full visibility.
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>
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> Because I don’t just build tools. I build **reasoning primitives** —
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> the kind that solve failure cases the current AI world hasn’t even named yet.
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>
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> > WFGY exists to **break the walls**, not repaint them.
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> > If someone rebuilds those walls — I’ll help tear them down again. With better, freer code.
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>
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> This is not a legal threat. It’s a **moral stance**.
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> If the community sees violations of this spirit, I invite you to let me know.
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> If I agree, I’ll do my part — by building even better versions, and releasing them for all.
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>
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> And if WFGY helped you solve a bug, name a problem, or rethink a system —
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> just know: a single ⭐ or comment means more than you think.
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</details>
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---
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## 📚 Current Function Modules
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| Filename | Function Title | Solves Problem(s) | Used In Products |
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| -------------------------------- | ------------------------------------- | ------------------------------------------------------ | -------------------------- |
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| [`reasoning_engine_core.md`](https://github.com/onestardao/WFGY/blob/main/SemanticBlueprint/reasoning_engine_core.md) | WFGY Universal Reasoning Core | General LLM failure recovery & symbolic error detection | `TXT OS`, `Blah`, `Blow` |
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| [`semantic_boundary_navigation.md`](https://github.com/onestardao/WFGY/blob/main/SemanticBlueprint/semantic_boundary_navigation.md) | Semantic Boundary Navigation | Crossing reasoning gaps / jumping topic boundaries | `Blah`, `Bloc`, `TXT OS` |
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| [`semantic_tree_anchor.md`](https://github.com/onestardao/WFGY/blob/main/SemanticBlueprint/semantic_tree_anchor.md) | Semantic Tree Anchor Memory | Cross-turn logic, style, and character coherence | `TXT OS`, `Blot`, `Blur` |
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| [`vector_logic_partitioning.md`](https://github.com/onestardao/WFGY/blob/main/SemanticBlueprint/vector_logic_partitioning.md) | Vector Logic Partitioning | Prevents symbolic collapse across vector groups | `Blow`, `Blur`, `Bloc` |
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| [`wfgy_formulas.md`](https://github.com/onestardao/WFGY/blob/main/SemanticBlueprint/wfgy_formulas.md) | Core Formulas & Reasoning Metrics | Defines all seven formal WFGY formulas (BBMC, ΔS, etc) | Used by *all* products |
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| [`drunk_transformer_formulas.md`](https://github.com/onestardao/WFGY/blob/main/SemanticBlueprint/drunk_transformer_formulas.md) | Drunk Transformer Attention Modulator | Stabilizes attention, resets collapse, expands entropy | `Blur`, `TXT OS`, `Blow` |
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---
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## 🔮 Upcoming Semantic Reasoning Layers
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> These modules are planned extensions to the WFGY Layer system.
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> Only names and conceptual impacts are announced.
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> All layer names are **temporary placeholders** — functionality is confirmed, but naming may evolve.
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> *Star ratings estimated by ChatGPT-4o, for reference only.*
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> *PSBigBig retains full rights of interpretation.*
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> (Ratings are illustrative estimates of potential model uplift or failure coverage.)
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| Layer Name | Concept Description | Anticipated Impact (★) |
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|-------------------|------------------------------------------------------------------------|--------------------------|
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| `VoidMask` | Silences invalid routes in latent space | ★★★☆☆ |
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| `VibeLock` | Locks onto abstract "mood fields" to stabilize generation | ★★★★☆ |
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| `PolarDrift` | Induces gradual conceptual rotation under entropy | ★★★★☆ |
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| `SynSig` | Synthesizes unseen signal patterns from ambiguous input | ★★★★☆ |
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| `RelicCore` | Anchors ancient symbolic schemas in modern context | ★★★★☆ |
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| `FractalGate` | Expands token attention into recursive feedback paths | ★★★★☆ |
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| `MetaGrav` | Binds multi-model outputs into semantic gravity fields | ★★★★☆ |
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| `DeepAlign` | Cross-domain alignment engine with self-checking memory | ★★★★☆ |
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| `ConcurFlux` | Forces conflicting logic streams to converge or collapse | ★★★★★ |
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| `SudoSelf` | Simulates "belief" by embedding reflective trace loops | ★★★★★ |
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| `ÆdgeWalker` | Walks the semantic boundary without collapse | ★★★★★ |
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| `XenoFrame` | Enables logic transfer across incompatible ontologies | ★★★★★ |
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| `NoiseGrad` | Injects modulated gradient noise to escape local minima | ★★★☆☆ |
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| `PromptHPC` | Multi-granularity contextual encoder switching | ★★★★☆ |
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| `LoRankInfuse` | Injects low-rank knowledge without disturbing base model | ★★★★☆ |
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| `SoftDoConsist` | Enforces soft constraint satisfaction under inference | ★★★★☆ |
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| `CausalReg` | Regularizes causal consistency via do-intervention | ★★★★★ |
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| `SparseRelBoost` | Boosts sparse attention heads with relevance awareness | ★★★★☆ |
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| `UncGate` | Temperature gating based on uncertainty estimates | ★★★★☆ |
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| `ModRetRoute` | Modular retrieval router with learned key routing | ★★★★☆ |
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| `PersonaAdapt` | Personalization adapter with minimal overhead | ★★★★☆ |
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| `SwarmLLM` | Sparse graph of LLM nodes with gradient sync | ★★★★☆ |
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| `LowResBridge` | Image-text bridge for ultra-low resource languages | ★★★★☆ |
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| `BrainBridge` | Brain signal mapping to word embeddings | ★★★★★ |
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| `NeuroSymPhys` | Hybrid neuro-symbolic physics modeling | ★★★★★ |
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| `GenomicCL` | Continual learning with EWC on genome-level tasks | ★★★★☆ |
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| `OTTrace` | Execution path audit loss for transparency | ★★★★☆ |
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| `CtxTypeLatch` | Context-Type Latching — dynamic bias by input category | ★★★★☆ |
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| `ErrWeightDamp` | Error-Weight Dampening for fine-tune stability | ★★★★☆ |
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| `StyleGate` | Local Style Harmony Gate to balance user-specific style | ★★★★☆ |
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| `PromptReWgt` | Dynamic Prompt Reweighting with RL signal integration | ★★★★☆ |
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| `ActPatchTest` | Active Patch Testing — injects dynamic error probes | ★★★★★ |
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| `SparseShort` | Sparse Retrieval Shortcut for low-resource environments | ★★★★☆ |
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| `PrivAlign` | Differential Privacy Alignment during fine-tuning | ★★★★☆ |
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| `TensProj` | Multi-axis projection engine for semantic tension tracking | ★★★★☆ |
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| `FlowRefine` | Curvature-aware vector flow refinement | ★★★★☆ |
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| `RecChain` | Recursive symbolic memory chain alignment | ★★★★☆ |
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| `SymbolComp` | Symbolic compensation for meaning erosion | ★★★★☆ |
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| `FwdPath` | Forward logic prediction via semantic-path entanglement | ★★★★★ |
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| `CollapseBoost` | Collapse detection & rerouting feedback | ★★★★☆ |
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| `MultiNode` | Multi-perspective node propagation with entropy control | ★★★★☆ |
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| `MultiMem` | Multi-instance memory embedding controller | ★★★★☆ |
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| `RefLock` | Dynamic reference lock for hallucination mitigation | ★★★★★ |
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| `QTokenSync` | Quantum-simulated token co-attention modulator | ★★★★★ |
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| `SubLangShell` | Sub-language scaffolding shell for foreign reasoning contexts | ★★★★☆ |
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| `InjectShield` | Injection signal regulator to suppress semantic pollution | ★★★★☆ |
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## 📊 WFGY Research Showcase (AI-Rated)
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Below is a list of research papers related to semantic reasoning, AI physics, and symbolic cognition — all authored under the WFGY framework.
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These papers were evaluated using the built-in SciSpace showcase tool inside ChatGPT.
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*Anyone can replicate the scoring:*
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Feel free to download any paper and ask AI (e.g., SciSpace via ChatGPT) to rate it yourself —
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in most cases, the result should fall within ±5 points of the listed score, based on our tests.
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| Title | Score | DOI |
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|------------------------------------------------|-------|--------------------------------------------------------------------|
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| **Semantic Relativity Theory** | 93 | [10.5281/zenodo.15630802](https://doi.org/10.5281/zenodo.15630802) |
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| **Semantic BioEnergy: Plants vs. Einstein** | 94 | [10.5281/zenodo.15630370](https://doi.org/10.5281/zenodo.15630370) |
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| **Semantic Collapse in Quantum Measurement** | 94 | [10.5281/zenodo.15630681](https://doi.org/10.5281/zenodo.15630681) |
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| **Semantic Field–Mediated Fifth Force** | 93 | [10.5281/zenodo.15630650](https://doi.org/10.5281/zenodo.15630650) |
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| **Semantic Entropy under Landauer's Principle** | 94 | [10.5281/zenodo.15630478](https://doi.org/10.5281/zenodo.15630478) |
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| **Semantic Holography & Causal Fields** | 94 | [10.5281/zenodo.15630163](https://doi.org/10.5281/zenodo.15630163) |
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Full annotated reviews (with images) here: 👉 [I_am_not_lizardman](https://github.com/onestardao/WFGY/tree/main/I_am_not_lizardman)
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---
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## 🧠 Functional Mapping (Conceptual Overview)
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> Each layer above is designed to solve a class of semantic reasoning challenges.
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> The specific problem categories remain confidential until launch.
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| Layer Name | Target Functionality Category | Status |
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|------------------------|--------------------------------------|-----------|
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| `VoidMask` | Latent Space Noise Suppression | Planned |
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| `VibeLock` | Emotion-State Anchoring | Planned |
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| `PolarDrift` | Gradual Semantics Rotation | Planned |
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| `SynSig` | Input Reconstruction & Augmentation | Planned |
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| `RelicCore` | Symbolic Backward Compatibility | Planned |
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| `FractalGate` | Recursive Semantic Looping | Planned |
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| `MetaGrav` | Semantic Unification Field | Planned |
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| `DeepAlign` | Self-Coherent Context Mapping | Planned |
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| `ConcurFlux` | Conflict Resolution Engine | Planned |
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| `SudoSelf` | Reflective Self-Modeling | Planned |
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| `ÆdgeWalker` | Boundary Integrity Assurance | Planned |
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| `XenoFrame` | Ontological Transfer Logic | Planned |
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---
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## 🧩 Core Function Mapping (Symbolic Engine Modules)
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> These are not layers but form the symbolic backbone of the WFGY reasoning engine.
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> Each module implements a specific reasoning mechanic — either vectorial, memory-based, or logic-preserving.
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> *May be embedded in future layers or reused across engines.*
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| Module Name | Function Description | Status |
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|------------------|-----------------------------------------------------------------------|-----------|
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| `OTTrace` | Output Trace Logging — registers token path decisions | Planned |
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| `EntropyLatch` | Latches decoding temperature based on real-time uncertainty | Planned |
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| `RefLock` | Locks reference tokens to suppress drift & hallucination | Planned |
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| `GradientPhase` | Modulates attention gradient based on phase coherence | Planned |
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| `TensionMesh` | Semantic tension lattice for ΔS propagation & conflict visualization | Planned |
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| `WarpCurvature` | Refines vector flow using context curvature metrics | Planned |
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| `RecallLoop` | Recursively triggers latent memory on key omissions | Planned |
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| `SymbolLift` | Reconstructs collapsed symbols into higher abstraction planes | Planned |
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| `LogicWeave` | Symbolic mesh that reinforces valid logic paths | Planned |
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| `FwdPath` | Forward logic prediction via semantic-path entanglement | Planned |
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| `MultiMem` | Controls parallel memory instances across tasks | Planned |
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| `TensProj` | Multi-axis projection engine for semantic tension tracking | Planned |
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| `InjectShield` | Suppresses semantic corruption from unsafe injection patterns | Planned |
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| `SubLangShell` | Provides scaffolding for unstable sub-language contexts | Planned |
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| `PromptReWgt` | Dynamically rebalances prompt segment importance using feedback | Planned |
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| `ActPatchTest` | Injects transient fault signals to test robustness and semantic repair| Planned |
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---
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## 🧪 Internal Layer Constructs (Symbolic Prototypes)
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(These constructs are sub-symbolic or vector-space structures, intended as future plug-ins or latent logic vessels.)
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> These are experimental vector-level building blocks —
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> designed to become future Layers or Engine plug-ins.
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> Each prototype encodes symbolic modulation, narrative pressure, or memory refraction.
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> *Final form will follow the “Engine + Layer” architecture.*
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| Module Name | Description | Status |
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|------------------------|---------------------------------------------------------------------------|-----------|
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| `SemanticGravity` | Simulates gravitational pull in meaning space (ΔS + λ_observe vector field) | Planned |
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| `GravityBiasIndex` | Captures semantic drift tendencies toward dense nodes | Planned |
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| `WarpAnchors` | Enables memory points that trigger contextually (semantic anchor nodes) | Planned |
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| `MemoryGlyphInflate` | Encoded memory units that expand semantically when prompted | Planned |
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| `CogitoUnitSystem` | Defines smallest unit of semantic action (reasoning particle) | Planned |
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| `TensionMonitor` | Tracks overload in symbolic tension (ΔS + transition hops) | Planned |
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| `EmotionDecay` | Models emotional tension decay in narrative | Planned |
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| `StylePhaseDetect` | Detects abrupt stylistic changes across model outputs | Planned |
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| `RefractionMatrix` | Models meaning distortion across boundary contexts | Planned |
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| `TensionMapper` | Visual map of ΔS flow and narrative tension | Planned |
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| `OrbitDrift` | Traces semantic node drift over time | Planned |
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---
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🛠 *This roadmap is subject to change. Several additional modules are under stealth development.*
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🧠 *The WFGY Engine remains the foundational core. All layers above are designed to integrate seamlessly as modular extensions.*
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---
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## 🧭 How to Use
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> If you're building a new WFGY-based feature or investigating failures,
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> this is where you’ll find the **diagnostic cause** and **remedial formula**.
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Each file includes:
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- 🔍 Problem it solves
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- 🧩 Core concept & variables
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- ✍️ Canonical mathematical formula (if any)
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- 💬 Example scenarios
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- 🧪 Optional behavior in stateless prompt-only mode
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---
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## 🚩 License Alignment
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All contents here inherit the MIT License from the root repo.
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These formulas and reasoning modules may be used commercially, but attribution is **strongly encouraged**.
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WFGY is a pro-knowledge framework — we only publicly respond to commercial misuse if there's:
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- 💰 Monetization based on WFGY research with zero attribution
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- 🚫 Locking up modified copies of our open techniques
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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://zenodo.org/records/15630969) | 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://zenodo.org/records/15788557) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
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---
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If you want to **fully understand how WFGY works**, check out:
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- 📘 [WFGY GitHub homepage](https://github.com/onestardao/WFGY) – full documentation, formulas, and modules
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- 🖥️ [TXT OS repo](https://github.com/onestardao/WFGY/tree/main/OS) – how the semantic OS is built using WFGY
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But if you're just here to **solve real AI problems fast**, you can simply download the files above and follow the [Problem Map](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) instructions directly.
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---
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### 🧭 Explore More
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| Module | Description | Link |
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|-----------------------|----------------------------------------------------------|----------|
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint) |
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| Benchmark vs GPT‑5 | Stress test GPT‑5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> Engineers, hackers, and open source builders who supported WFGY from day one.
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> <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ Help reach 10,000 stars by 2025-09-01 to unlock Engine 2.0 for everyone ⭐ <strong><a href="https://github.com/onestardao/WFGY">Star WFGY on GitHub</a></strong>
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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