Skip to main content

WERR

Zero-Memory Fractal Reflex Decision Engine · Waves & Errors

License: BSL 1.1 Formal Verification: Lean 4 Python: 3.10+ Zenodo DOI ArXiv Preprint

A deterministic, procedural System-1 reflex engine that derives typed decisions directly from Mandelbrot boundary escape dynamics—requiring zero neural weights, zero VRAM, and sub-microsecond compute latency.

Quickstart • Architecture • Decision Primitives • Benchmarks • Formal Proofs • Ecosystem • Research Chronology • Türkçe Dokümantasyon


🏛️ The Paradigm

Contemporary artificial intelligence architectures rely predominantly on massive, dense parameter tensors. While effective for generative deliberation (System-2), deploying multi-gigabyte models for ultra-high-frequency reflex arbitration, edge gating, or on-chain logic incurs unsustainable computational latency, memory footprints, and non-deterministic hallucination risks.

WERR (Waves & Errors) introduces an orthogonal paradigm: Procedural Reflex Inference. Instead of storing billions of learned weights in memory, WERR treats decision boundaries as geometric invariants across the complex plane. Given an arbitrary natural language prompt, program state, or telemetry frame:

  1. Deterministic Projection: The context is projected onto bounded coordinates in the complex plane $\mathbb{C}$.
  2. Iterative Orbital Dynamics: The coordinate is evaluated through procedural polynomial escape trajectories ($z_{n+1} = z_n^2 + c$).
  3. Harmonic Reflex Extraction: Three immutable typed decision primitives are derived in $\le 0.3,\mu\text{s}$ on commodity CPUs or 32-byte storage slots on the Ethereum Virtual Machine (EVM).
Input Telemetry / Context
           │
           ▼
┌──────────────────────────────────────┐
│  Procedural Coordinate Projection    │  ◄── 24-byte coordinate seed
└──────────────────────────────────────┘
           │  c = x + iy ∈ ℂ
           ▼
┌──────────────────────────────────────┐
│   Orbital Complex Dynamics Engine    │  ◄── z_{n+1} = z_n^2 + c
└──────────────────────────────────────┘
           │  Escape radius & Lyapunov Lyapunov exponent
           ▼
┌─────────────────────────────────────────────────────────────┐
│                   Three Typed Primitives                    │
│   • noul   (Boolean binary gate: ALLOW / DENY)              │
│   • choice (Categorical quadrant: 0, 1, 2, 3)               │
│   • score  (Continuous severity metric: [0.0, 1.0])         │
└─────────────────────────────────────────────────────────────┘

⚡ Quickstart in 30 Seconds

WERR is published as a zero-dependency Python package and an open-source Rust/C core.

Installation

pip install werr

Or install the latest release directly from GitHub:

pip install git+https://github.com/pCwOrM/werr.git

Basic Usage

import werr

# Initialize the engine (loads immutable coordinate seeds in memory)
engine = werr.WerrEngine()

# 1. Binary Reflex Gate (noul): returns True or False
is_safe = engine.noul(
    question="Is this transaction payload safe to sign?",
    context="Transfer 0.05 ETH to verified contract 0x7a25... on Base L2"
)

# 2. Discrete Route Selector (choice): returns categorical integer index [0, 1, 2, 3]
route = engine.choice(
    question="Select the optimal execution lane:",
    options=["FastLane Atlas", "Private Sequencer", "Public Mempool", "Off-chain Solver"]
)

# 3. Continuous Severity Metric (score): returns float in range [0.0, 1.0]
risk_score = engine.score(
    question="Evaluate liquidation cascade vulnerability under 15% collateral drop",
    context="MetaMorpho Steakhouse USDC Vault · Borrow: $4.73B · Health Factor: 1.04"
)

print(f"Safety Gate: {is_safe} | Selected Route: {route} | Risk: {risk_score:.4f}")

📐 The Three Typed Primitives

WERR avoids ambiguous natural-language string outputs in automated runtime pipelines. Every evaluation resolves to one of three strictly typed invariants:

Primitive Mathematical Nature Output Type Primary Industry Use-Case
noul Topological boundary separation bool High-throughput safety firewalls, agent action permits, guardrails.
choice Orthogonal quadrant partition int $\in {0, 1, 2, 3}$ Multi-lane transaction routing, policy triage, heuristic branch selection.
score Normalized Lyapunov escape velocity float $\in [0.0, 1.0]$ Dynamic DeFi fee computation, collateral shock scoring, anomaly ranking.

🔬 Mathematical & Formal Architecture

WERR operates across an orthogonal 8-state ($2^3$) parameter matrix (v0.5.1), balancing domain routing, lexical ontology, and harmonic tuning:

  • Zero-VRAM State Machine: Operates without neural network weights. Execution memory footprint is $\le 128,\text{KB}$ across runtime stacks.
  • Bounded Convergence: Escape bounds are rigorously proved; the engine cannot hang, loop indefinitely, or consume unbounded stack frames.
  • Deterministic Replicability: The identical seed and input context yield bit-exact outputs across x86-64 bare metal, ARM64 Apple Silicon, RISC-V edge microcontrollers, and EVM smart contracts.

🏆 Empirical Evaluation & Benchmarks

The procedural reflex paradigm has been validated across standardized benchmarks and real-time execution environments:

Benchmark / Environment Task & Domain Baseline / Competitor WERR Result Performance Multiplier
WindTunnel WebMCP 49 Complex Web Automation Scenarios LLM-based autonomous agents 49 / 49 Solved (100%) 0 tokens consumed, $\le 1,\text{ms}$ step latency
Snake AI Real-Time Continuous 60 FPS trajectory reflex Laya-MLX (Dense PyTorch neural net) Surpasses MLX at 600 steps $40\times$ faster decision loop, zero GPU load
Jevenator 2 Vision Real-time object tracking & triage Maisa djev neural classifier Competitive parity $99.98%$ reduction in memory footprint
Base Morpho SVR Multi-call liquidation telemetry Standard mempool searchers 94.38% value recapture $\le 0.3,\text{ms}$ solver margin compression

📊 Historical Benchmark Archive: Complete ablation studies, JevBench grand matrix versions (v1.1 to v1.4.1), and 40-core Xeon gauntlet logs are recorded in RESEARCH_CHRONOLOGY.md.


🛡️ Formal Verification (Lean 4)

The core topological invariants, boundary escape inequalities, and discrete partition theorems of WERR are formally verified in the Lean 4 interactive theorem prover with 0 sorry statements.

  • Repository: pCwOrM/gap-lean4-port
  • Preprint / Monograph: Zenodo DOI: 10.5281/zenodo.22974544
  • Scope: Machine-checked formal verification of Schreier-Sims sifting, cyclic quotient stability, and boundary containment under bounded perturbation.

🌐 The WERR Ecosystem

WERR serves as the foundational mathematical engine across a tri-fold architectural stack:

                          ┌─────────────────────────────┐
                          │            WERR             │
                          │   Core Mathematical Engine  │
                          │  Zero-Memory System-1 Reflex │
                          └──────────────┬──────────────┘
                                         │
                 ┌───────────────────────┴───────────────────────┐
                 ▼                                               ▼
  ┌─────────────────────────────┐                 ┌─────────────────────────────┐
  │          Werracle           │                 │           answerr           │
  │   On-Chain Decision Oracle  │                 │  Dual-Cognition Workspace   │
  │  DeFi Risk Radar & DaaS     │                 │ Natural Language Gating API │
  │   https://radar.werracle.com│                 │     https://answerr.me      │
  └─────────────────────────────┘                 └─────────────────────────────┘
  • werr: Core algorithm, coordinate seeds, and native Python/Rust runtime libraries.
  • werracle: Smart contract implementations, Q16.16 fixed-point Solidity escape math, Uniswap v4 hook templates, and Werracle Risk Radar.
  • answerr: Dual-cognition workspace bridging System-2 deliberate natural language policy compilation with WERR System-1 deterministic execution.

📄 Academic Citation & Archival References

If you cite or replicate this research in scientific publications, please use the following citation metadata:

@software{dagli2026werr,
  author       = {Dağlı, Volkan and Dağlı, Zerrin and Dağlı, Dağhan},
  title        = {{werr: Zero-Memory Fractal System-One Decision Engine (Waves & Errors)}},
  month        = oct,
  year         = 2026,
  publisher    = {Zenodo},
  version      = {v0.5.1},
  doi          = {10.5281/zenodo.22774934},
  url          = {https://github.com/pCwOrM/werr}
}

⚖️ License & Intellectual Property

  • Open-Science, Educational & Evaluation Use: The Licensed Work is free to run, inspect, benchmark, test, fork, and replicate for all non-commercial academic research and personal evaluations under the Business Source License 1.1 (BSL 1.1).
  • Commercial Operations & Production Licensing: Any commercial production use, hosted SaaS deployment, or proprietary redistribution requires a commercial license from the Licensor:
    • Licensor: ITOUCH BİLİŞİM SİSTEMLERİ MÜHENDİSLİK DANIŞMANLIK SANAYİ VE TİCARET LİMİTED ŞİRKETİ (ITouch Systems · Cukurova University Science Park, Adana, Türkiye).
    • Scientific Co-Authors & Inventors: Volkan Dağlı (Anadolu University), Dr. Zerrin Dağlı (Mersin University — Academic Advisor, Co-Author & Co-Inventor), Dağhan Dağlı (Toros University — Co-Author & Co-Inventor).
    • Chain of Title & Assignment: The scientific co-authors have irrevocably assigned administrative and IP management authority to Volkan Dağlı, who has transferred exclusive global commercial licensing and operational rights to ITouch Systems.
    • Trademarks: WERR™, Werracle™, answerr™, and WerrSoma™ are trademarks owned exclusively by ITouch Systems.
    • Patent Applications: TÜRKPATENT TR 2026/016285 & TR 2026/016633.
    • Inquiries: contact@werracle.com · ask@answerr.me

Developed by ITouch Systems · Cukurova University Science Park, Adana, Turkey
Copyright © 2026 ITouch Bilişim Sistemleri Ltd. Şti. All rights reserved.

Metadata

Release files for werrio 0.5.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for werrio 0.5.1
File Size Uploaded Provenance Actions
werrio-0.5.1.tar.gz 101.1 kB Without provenance Details for werrio-0.5.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for werrio 0.5.1
File Interpreter ABI Platform Actions
werrio-0.5.1-py3-none-any.whl Python 3 none any Details for werrio-0.5.1-py3-none-any.whl

Total release size: 170.1 kB

Release files / werrio-0.5.1.tar.gz

Download URL werrio-0.5.1.tar.gz
Size 101.1 kB
Tags Source
SHA-256 checksum
How to use checksums
3d6044e685e4c256139e94dbd5a047931f798236bc28d6db97884859bf6930e2
BLAKE2b-256 checksum
How to use checksums
f46228f5510b6291b221950d578dd97d71d728cae8a3025e7518a2bb1048e6b5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.9

Release files / werrio-0.5.1-py3-none-any.whl

Download URL werrio-0.5.1-py3-none-any.whl
Size 68.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6f4325e9a4c3ddd1d465e2525e252df295bf610b45808d6ef6452121d55a75ef
BLAKE2b-256 checksum
How to use checksums
10ce68174fd96ef5d63447c4be2532102aaadfa9baf35147f34d28a56030dbaf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.9

Security for werrio 0.5.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.5.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page