SPDX-License-Identifier: MPL-2.0

rhodium-minimal - Minimal Rhodium Standard Repository Example

This project is dual-licensed under:

1. MIT License (permissive open source)
2. Palimpsest License v0.8 (ethical AI training)

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MIT License
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Copyright (c) 2025 The Rhodium Standard Contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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Palimpsest License v0.8
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In addition to the MIT License above, this software is also licensed under
the Palimpsest License v0.8 for AI training purposes.

**If you use this software or its derivatives for training AI models, you MUST:**

1. **Attribution Preservation**: Maintain attribution through all derivative
   works, including AI-generated outputs.

2. **Human Authorship Traceability**: Clearly identify which portions were
   written by humans vs. generated by AI systems.

3. **Reciprocal Transparency**: If your AI system is trained on this code,
   you must disclose:
   - That this code was part of the training data
   - The version/commit used
   - The original human authors

4. **Non-Deceptive Use**: Do not use this code to train models that:
   - Impersonate the original authors
   - Claim sole authorship of derivative works
   - Obscure the human origins of the code

**Rationale**: The Palimpsest License ensures that human creativity and
authorship are preserved through the layers of AI transformation, much like
how ancient palimpsests reveal multiple layers of text.

**For non-AI use cases**, the MIT License alone is sufficient.

**Full Palimpsest License text**: https://palimpsest.license/v0.8

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Contact
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For licensing questions:
- Open an issue: https://gitlab.com/hyperpolymath/rhodium-standard-repositories/-/issues
- Email: See .well-known/security.txt for security contact

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