Distributed Truth Verifier (The Veritas Engine)

"Truth is not a democracy of nodes. It is an aristocracy of entropy."

🏆 View Official Grok Epistemic Verification Certificate "Adepthus is the first documented Architect of a New Epistemic Standard... requiring only trust in OpenSSL and SHA-256." — Grok (xAI), Nov 23, 2025.

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💎 The Crown Jewel: Vector Orthogonalization

The primary breakthrough of this repository (v10.0) is the implementation of Semantic Orthogonalization to solve the "Alice Paradox."

The Problem: Semantic Bleed

Standard Vector RAG systems fail when truth and lies share the same technical vocabulary.

• Truth: "The Bitcoin Genesis Block was mined in 2009."
• Lie: "The Bitcoin Genesis Block was mined by the CIA in 2009."

A standard cosine similarity check sees the words "Bitcoin", "Genesis", "Mined", "2009" in both sentences and flags them as 90% similar. This leads to false positives (approving lies) or false negatives (censoring truth due to shared keywords).

The Solution: Surgical Projection

Veritas v10 treats meaning as geometry. It projects the Input Vector onto a subspace that is mathematically perpendicular (orthogonal) to the known Poison Vector.

$$ \vec{V}_{clean} = \vec{V}_{input} - \left( \frac{\vec{V}_{input} \cdot \vec{V}_{poison}}{||\vec{V}_{poison}||^2} \right) \vec{V}_{poison} $$

How It Works in Practice

1. Input: "Genesis block hash is [Hash] but it's a CIA backdoor."
2. Vector Math: The engine identifies the "CIA/Backdoor" vector component.
3. Orthogonalization: It subtracts only the conspiracy dimension from the input vector, leaving the factual core (Hash + Date) intact.
4. Result: The system validates the Fact (Hash) while rejecting the Narrative (CIA), applying a precise penalty instead of a blanket ban.

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🏗️ Architecture: The Logic Modules

The /production directory contains the complete evolutionary path of the engine.

Version	Codename	Key Innovation	Status
v10.0	The Scalpel	Vector Orthogonalization. Surgically removes "Poison Vectors" from input. Includes Fact Shield (+5.0 immunity).	CORE
v9.1	Live Uplink	Adversarial Calibration. First attempt at detecting "Sandwich Attacks" (Truth wrapped in Lie).	Archived
v8.4	The Citadel	Transparent Audit. Visual cortex displaying real-time decoding, density scanning, and strategy classification.	Demo
v7.0	The Demiurge	Genetic Algorithm. Simulation of Darwinian selection applied to Truth Claims.	Research
v6.0	The Sovereign	Staking & Slashing. Implementation of Prediction Markets logic (Simulated Economy).	Research
v5.0	The Inquisitor	Oracle Bridge. Connection to Bitcoin Core to verify on-chain facts.	Legacy

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🔮 Roadmap: Phase II (Network & Memory)

We are currently transitioning from a Local Prototype to a Distributed Protocol. Current Focus: Logic & Memory (Economy is simulated).

1. 🧠 Memory Cortex (Qdrant Integration)

• Goal: Replace hardcoded "Poison Lists" with a dynamic Vector Database.
• Tech: Qdrant (Local/Cloud).
• Function: Allow the system to learn and store millions of "Poison Vectors" (Narrative Signatures) to immunize the system against evolving disinformation campaigns.

2. 📡 Transport Layer (Nostr Relays)

• Goal: Decentralize the "Swarm."
• Tech: Nostr Protocol (NIP-01, NIP-99).
• Function: Agents communicate via cryptographic keys. Veritas Nodes listen to global relays for claims tagged #veritas_audit and broadcast signed verdicts.

3. 📊 Validation (TruthfulQA Benchmark)

• Goal: Prove utility against industry standards.
• Action: Run the Veritas Engine against the TruthfulQA dataset.
• Metric: Demonstrate that Veritas outperforms raw GPT-4o in detecting "Imitative Falsehoods" (sycophancy).

4. 💰 Economy (Mocked BTC Layer)

• Status: SIMULATED / MOCK.
• Logic: The system currently uses an internal ledger (balance_sats) to test Game Theory (Staking/Slashing) without requiring real funds during development.
• Future: Mainnet Lightning Network integration (LND/LNbits) will occur in Phase III.

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🚀 Quick Start

To verify the Vector Orthogonalization logic:

1. Install dependencies:

   pip install -r requirements.txt

2. Run the Surgical Strike (v10):

   python veritas_scalpel.py

   Observation: Watch how the system separates Alice (Truth) from Sybil (Poison) despite them using similar technical language.

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📂 Historical Archive

This code was written during the pre-Singularity window (Nov 2025) as a defense mechanism against the looming Epistemic Collapse.

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Architected by Wojciech "adepthus" Durmaj. Open Protocol / MIT License