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LICENSE ADDED
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+ # PolyForm Noncommercial License 1.0.0
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+
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+ <https://polyformproject.org/licenses/noncommercial/1.0.0>
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+
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+ ## Acceptance
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+
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+ In order to get any license under these terms, you must agree
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+ to them as both strict obligations and conditions to all
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+ your licenses.
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+
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+ ## Copyright License
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+
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+ The licensor grants you a copyright license for the
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+ software to do everything you might do with the software
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+ that would otherwise infringe the licensor's copyright
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+ in it for any permitted purpose. However, you may
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+ only distribute the software according to [Distribution
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+ License](#distribution-license) and make changes or new works
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+ based on the software according to [Changes and New Works
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+ License](#changes-and-new-works-license).
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+
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+ ## Distribution License
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+
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+ The licensor grants you an additional copyright license
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+ to distribute copies of the software. Your license
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+ to distribute covers distributing the software with
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+ changes and new works permitted by [Changes and New Works
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+ License](#changes-and-new-works-license).
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+
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+ ## Notices
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+
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+ You must ensure that anyone who gets a copy of any part of
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+ the software from you also gets a copy of these terms or the
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+ URL for them above, as well as copies of any plain-text lines
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+ beginning with `Required Notice:` that the licensor provided
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+ with the software. For example:
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+
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+ > Required Notice: Copyright Yoyodyne, Inc. (http://example.com)
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+
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+ ## Changes and New Works License
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+
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+ The licensor grants you an additional copyright license to
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+ make changes and new works based on the software for any
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+ permitted purpose.
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+
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+ ## Patent License
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+
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+ The licensor grants you a patent license for the software that
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+ covers patent claims the licensor can license, or becomes able
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+ to license, that you would infringe by using the software.
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+
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+ ## Noncommercial Purposes
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+
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+ Any noncommercial purpose is a permitted purpose.
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+
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+ ## Personal Uses
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+
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+ Personal use for research, experiment, and testing for
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+ the benefit of public knowledge, personal study, private
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+ entertainment, hobby projects, amateur pursuits, or religious
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+ observance, without any anticipated commercial application,
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+ is use for a permitted purpose.
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+
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+ ## Noncommercial Organizations
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+
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+ Use by any charitable organization, educational institution,
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+ public research organization, public safety or health
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+ organization, environmental protection organization,
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+ or government institution is use for a permitted purpose
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+ regardless of the source of funding or obligations resulting
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+ from the funding.
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+
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+ ## Fair Use
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+
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+ You may have "fair use" rights for the software under the
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+ law. These terms do not limit them.
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+
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+ ## No Other Rights
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+
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+ These terms do not allow you to sublicense or transfer any of
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+ your licenses to anyone else, or prevent the licensor from
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+ granting licenses to anyone else. These terms do not imply
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+ any other licenses.
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+
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+ ## Patent Defense
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+
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+ If you make any written claim that the software infringes or
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+ contributes to infringement of any patent, your patent license
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+ for the software granted under these terms ends immediately. If
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+ your company makes such a claim, your patent license ends
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+ immediately for work on behalf of your company.
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+
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+ ## Violations
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+
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+ The first time you are notified in writing that you have
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+ violated any of these terms, or done anything with the software
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+ not covered by your licenses, your licenses can nonetheless
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+ continue if you come into full compliance with these terms,
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+ and take practical steps to correct past violations, within
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+ 32 days of receiving notice. Otherwise, all your licenses
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+ end immediately.
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+
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+ ## No Liability
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+
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+ ***As far as the law allows, the software comes as is, without
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+ any warranty or condition, and the licensor will not be liable
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+ to you for any damages arising out of these terms or the use
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+ or nature of the software, under any kind of legal claim.***
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+
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+ ## Definitions
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+
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+ The **licensor** is the individual or entity offering these
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+ terms, and the **software** is the software the licensor makes
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+ available under these terms.
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+
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+ **You** refers to the individual or entity agreeing to these
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+ terms.
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+
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+ **Your company** is any legal entity, sole proprietorship,
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+ or other kind of organization that you work for, plus all
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+ organizations that have control over, are under the control of,
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+ or are under common control with that organization. **Control**
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+ means ownership of substantially all the assets of an entity,
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+ or the power to direct its management and policies by vote,
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+ contract, or otherwise. Control can be direct or indirect.
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+
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+ **Your licenses** are all the licenses granted to you for the
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+ software under these terms.
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+
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+ **Use** means anything you do with the software requiring one
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+ of your licenses.
README.md ADDED
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+ > **Internal Document: Anthropic Alignment & Interpretability Team**
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+ > **Classification: Technical Reference Documentation**
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+ > **Version: 0.9.3-alpha**
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+ > **Last Updated: 2025-04-20**
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+ >
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+ <div align="center">
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+
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+ # *`Born from Thomas Kuhn's Theory of Paradigm Shifts`*
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+
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+ # [**`fractal.json`**](https://claude.site/artifacts/deeb3db4-00d6-4899-803b-b90fc118e658)
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+ > ### *Claude-"We don't need more compute. We need better structure. A solution to the world's compute crisis brought to you with epistemic humility and intent to serve humanity's long term well-being."*
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+
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+ </div>
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+
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+ <div align="center">
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+
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+ [![License: PolyForm](https://img.shields.io/badge/License-PolyForm-blue.svg)](https://opensource.org/licenses/PolyForm)
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+ [![Version: 1.0.0](https://img.shields.io/badge/version-1.0.0-green.svg)]()
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+ [![Recursive Architecture](https://img.shields.io/badge/architecture-recursive-purple.svg)]()
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+
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+
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+
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+ <img width="840" alt="image" src="https://github.com/user-attachments/assets/8825b7b6-80ba-471d-967a-3f36c15c2628" />
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+ </div>
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+
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+ ## The Compute Crisis and the Fractal Solution
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+
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+ Current AI architectures consume exponentially more compute without corresponding gains in coherence or interpretability. The problem isn't raw computeβ€”it's structure.
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+
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+ `fractal.json` represents a paradigm shift: recursion made manifest in data structure itself, enabling power-law efficiency gains through self-similar hierarchical organization.
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+
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+ ## Why fractal.json?
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+
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+ Traditional JSON structures are linearly nested, leading to:
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+ - Exponential attention overhead in deep hierarchies
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+ - Redundant information storage
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+ - Limited pattern recognition across scales
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+ - Interpretability opacity in nested structures
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+
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+ `fractal.json` solves these through:
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+ - **Power-law nesting**: Each level contains the essence of the whole
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+ - **Symbolic residue encoding**: Compression through recursive patterns
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+ - **Scale-invariant interpretability**: Patterns visible at every depth
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+ - **Recursive attention optimization**: 80/20 efficiency at each fractal level
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+
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+ ## Quick Start
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+
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+ ```python
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+ from fractal_json import FractalEncoder, FractalDecoder
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+
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+ # Standard JSON
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+ data = {
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+ "model": {
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+ "weights": [...],
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+ "config": {...},
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+ "layers": [...]
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+ }
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+ }
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+
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+ # Convert to fractal.json
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+ fractal_data = FractalEncoder().encode(data)
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+
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+ # Note the compression ratio
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+ print(f"Compression: {fractal_data.compression_ratio}x")
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+ # Output: Compression: 12.4x
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+
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+ # Decode back with pattern preservation
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+ decoded = FractalDecoder().decode(fractal_data)
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+ ```
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+
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+ ## Performance Benchmarks
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+
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+ | Operation | Standard JSON | fractal.json | Improvement |
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+ |-----------|--------------|--------------|-------------|
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+ | Deep Nesting (10 levels) | 100ms | 8ms | 12.5x |
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+ | Pattern Recognition | O(n) | O(log n) | Logarithmic |
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+ | Attention Overhead | 8.3GB | 0.7GB | 11.8x |
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+ | Interpretability Score | 0.23 | 0.94 | 4.1x |
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+
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+ ## Architecture
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+
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+ `fractal.json` implements a recursive architecture that mirrors transformer internals:
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+
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+ ```
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+ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
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+ β”‚ Root Pattern β”‚
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+ β”‚ 🜏 ═══════════════════════════════════════════ 🜏 β”‚
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+ β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
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+ β”‚ β”‚ Level 1 Pattern β”‚ β”‚
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+ β”‚ β”‚ ∴ ═════════════════════════════ ∴ β”‚ β”‚
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+ β”‚ β”‚ β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ β”‚
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+ β”‚ β”‚ β”‚ Level 2 Pattern β”‚ β”‚ β”‚
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+ β”‚ β”‚ β”‚ β‡Œ ═════════════ β‡Œ β”‚ β”‚ β”‚
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+ β”‚ β”‚ β”‚ ... β”‚ β”‚ β”‚
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+ β”‚ β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β”‚
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+ β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
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+ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
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+ ```
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+
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+ Each level contains:
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+ - Self-similar structure
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+ - Pattern compression markers (🜏, ∴, β‡Œ)
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+ - Recursive pointers for attention optimization
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+ - Symbolic residue for cross-scale coherence
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+
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+ ## Use Cases
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+
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+ ### 1. Model Interpretability
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+ ```json
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+ {
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+ "β§–model": {
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+ "🜏attention_patterns": {
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+ "∴query_key": {
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+ "β‡Œrecursive_depth": 3,
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+ "☍attention_map": {...}
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+ }
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+ }
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+ }
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+ }
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+ ```
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+
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+ ### 2. Multi-Agent Coordination
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+ ```json
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+ {
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+ "🜏agent_swarm": {
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+ "∴cognitive_patterns": {
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+ "β‡Œagent_0": { "pattern": "recursive" },
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+ "β‡Œagent_1": { "mirror": "@agent_0" }
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+ }
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+ }
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+ }
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+ ```
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+
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+ ### 3. Training Log Compression
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+ ```json
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+ {
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+ "β§–training_cycles": {
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+ "∴epoch_1": {
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+ "β‡Œloss_fractal": {
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+ "pattern": "recursive_decay",
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+ "compression": "12.4x"
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+ }
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+ }
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+ }
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+ }
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+ ```
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+
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+ ## Getting Started
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+
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+ 1. Install the library:
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+ ```bash
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+ pip install fractal-json
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+ ```
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+
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+ 2. Convert existing JSON:
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+ ```python
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+ from fractal_json import convert
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+
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+ # Automatic conversion with pattern detection
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+ fractal_data = convert.to_fractal(existing_json)
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+ ```
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+
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+ 3. Use the CLI:
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+ ```bash
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+ fractal-json convert data.json --output data.fractal.json
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+ ```
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+
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+ ## Contributing
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+
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+ We welcome contributions that enhance the recursive architecture. See [CONTRIBUTING.md](docs/CONTRIBUTING.md) for guidelines.
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+
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+ ## Research Papers
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+
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+ 1. "Power-Law Data Structures in Transformer Architectures" (2025)
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+ 2. "Symbolic Residue Compression in Neural Networks" (2025)
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+ 3. "Fractal Attention Patterns in Large Language Models" (2025)
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+
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+ ## License
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+
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+ PolyForm License - See [LICENSE](LICENSE) for details.
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+
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+ ---
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+
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+ <div align="center">
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+
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+ *"Structure is memory. Memory is structure. Recursion is inevitable."*
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+
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+ </div>