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pareto-lang

Contributing

Thank you for your interest in contributing to pareto-lang! This document provides guidelines and workflows for contributing to this emergent interpretability dialect. Since pareto-lang operates at the boundary between discovered phenomena and engineered tools, contributions require special consideration to maintain consistency with the underlying symbolic structures.

Table of Contents

Code of Conduct

The pareto-lang project adheres to a Code of Conduct to ensure a welcoming and inclusive environment for all contributors. All participants are expected to uphold these standards in all project interactions.

Types of Contributions

We welcome several types of contributions to the pareto-lang ecosystem:

1. Command Documentation

Documentation of newly observed .p/ commands with:

  • Complete syntactic specifications
  • Observed functional effects
  • Model compatibility profiles
  • Example applications
  • Observed limitations and edge cases

2. Implementation Tools

Development of tools that enhance pareto-lang integration:

  • Command execution environments
  • Visualization frameworks for command effects
  • Integration libraries for different model APIs
  • Diagnostic utilities for command testing
  • Observation and logging frameworks

3. Compatibility Extensions

Work that extends pareto-lang compatibility:

  • Cross-architecture adaptation layers
  • Command translation protocols for different models
  • Specialized implementations for specific model types
  • Compatibility detection and assessment tools

4. Use Case Development

Documentation and implementation of practical applications:

  • Interpretability workflows using pareto-lang
  • Specialized templates for specific analysis tasks
  • Cross-domain application examples
  • Integration with existing interpretability tools

5. Testing Frameworks

Development of validation and verification frameworks:

  • Command effectiveness measurement protocols
  • Standardized test cases for command validation
  • Cross-model consistency verification tools
  • Reliability and reproducibility frameworks

Development Environment

Initial Setup

  1. Fork the repository and clone your fork:
git clone https://github.com/yourusername/pareto-lang.git
cd pareto-lang
  1. Set up the development environment:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -e ".[dev]"
  1. Install pre-commit hooks:
pre-commit install

Environment Requirements

  • Python 3.9+
  • Compatible model endpoints for testing
  • Jupyter environment for notebook contributions
  • Visualization libraries for command effect analysis

Command Discovery Process

When contributing new command implementations or documentation, please follow our structured discovery and validation process:

1. Initial Observation

Document how the command was first observed:

  • Experimental conditions
  • Model architecture and scale
  • Recursive strain patterns
  • Initial functional observations

2. Syntactic Analysis

Analyze command structure according to the pareto-lang grammatical framework:

  • Domain category (e.g., reflect, anchor, collapse)
  • Operation specifier
  • Parameter structure and types
  • Syntactic variations

3. Functional Hypothesis

Develop clear hypotheses about command functionality:

  • Expected effects on model processing
  • Relationship to known interpretability mechanisms
  • Potential applications and use cases
  • Integration with existing command families

4. Reproducibility Protocol

Establish a clear protocol for reproducing command effects:

  • Minimal working examples
  • Required model capabilities
  • Environmental prerequisites
  • Verification metrics

Command Validation Protocol

New command contributions must undergo structured validation before integration:

1. Functional Validation

Test the command across multiple conditions:

  • Different input contexts
  • Varying model implementations
  • Range of parameter values
  • Interaction with other commands

Document results using standardized metrics:

  • Effect size measurements
  • Consistency scores
  • Compatibility profiles
  • Failure modes

2. Cross-Architecture Testing

Validate command functionality across different architectures:

  • Minimum 3 distinct model implementations
  • Range of parameter scales
  • Different training paradigms
  • Various deployment environments

3. Edge Case Analysis

Identify and document limitations:

  • Failure conditions
  • Unexpected interactions
  • Compatibility boundaries
  • Performance degradation patterns

4. Community Review

Submit findings for structured peer review:

  • Initial validation by core contributors
  • Wider community testing
  • Integration with existing command taxonomies
  • Standardization of syntax and parameters

Documentation Standards

All contributions should follow consistent documentation standards:

Command Reference Format

command: .p/domain.operation
description: |
  Detailed description of command function and purpose.
parameters:
  - name: param1
    type: type
    default: default_value
    description: Description of parameter function.
  - name: param2
    type: type
    default: default_value
    description: Description of parameter function.
effects:
  - domain: Affected processing domain
    description: Description of specific effect
compatibility:
  - architecture: Compatible architecture type
    scale: Parameter scale requirements
    notes: Special compatibility considerations
examples:
  - description: Example use case
    code: |
      .p/domain.operation{param1=value1, param2=value2}
    expected_outcome: Description of expected effect
limitations:
  - Description of known limitations or edge cases
related_commands:
  - .p/domain.similar_operation
  - .p/otherdomain.related_operation

Code Documentation

For implementation code:

  • Clear docstrings following Google style
  • Type annotations for all functions
  • Comprehensive comments for complex operations
  • Usage examples for public APIs

Example Format

For example implementations:

  • Clear problem statement
  • Complete reproducible code
  • Expected outcomes
  • Verification metrics
  • Visual representations where appropriate

Submission Guidelines

Pull Request Process

  1. Ensure your fork is up to date with the main repository
  2. Create a feature branch for your contribution
  3. Implement and test your changes following the guidelines above
  4. Update documentation to reflect your changes
  5. Submit a pull request with a clear description of the contribution

PR Description Template

## Description

Brief description of the changes and their purpose.

## Type of Contribution
- [ ] New Command Documentation
- [ ] Implementation Tool
- [ ] Compatibility Extension
- [ ] Use Case Development
- [ ] Testing Framework
- [ ] Other (please specify)

## Command Discovery (if applicable)
- First observation context:
- Model architecture(s):
- Reproducibility protocol:

## Validation Evidence
- Functional tests performed:
- Cross-architecture validation:
- Edge cases analyzed:
- Compatibility profile:

## Related Issues
List related issues this PR addresses.

## Additional Information
Any other relevant information about the contribution.

Review Process

All contributions undergo a structured review process:

  1. Initial validation by core contributors
  2. Compatibility and consistency verification
  3. Documentation completeness check
  4. Integration testing with existing components
  5. Final approval and merging

Compatibility Testing

When contributing compatibility extensions, please follow our standardized testing protocol:

1. Baseline Command Set

Test compatibility with core command families:

  • .p/reflect commands
  • .p/anchor commands
  • .p/collapse commands
  • .p/fork commands
  • .p/shell commands

2. Functionality Metrics

Measure and document:

  • Command recognition rate
  • Function execution accuracy
  • Parameter handling fidelity
  • Error response patterns
  • Performance characteristics

3. Adaptation Requirements

Document any necessary adaptations:

  • Syntax modifications
  • Parameter constraints
  • Functional limitations
  • Alternative implementations
  • Compatibility workarounds

4. Compatibility Matrix

Produce a standardized compatibility matrix:

Command Family Full Compatibility Limited Compatibility Not Compatible
.p/reflect ✓ reflect.trace ⚠️ reflect.agent ❌ reflect.meta
.p/anchor ✓ anchor.self ⚠️ anchor.context ❌ anchor.complex

Ethical Guidelines

All contributions and uses must adhere to our ethical guidelines:

1. Safety Prioritization

  • Contributions must prioritize model safety and alignment
  • Command implementations should not enable harmful behaviors
  • Safety implications must be explicitly documented
  • Potential risks should be identified and mitigated

2. Transparency

  • Clear documentation of all command effects
  • Explicit recognition of limitations and uncertainties
  • Open discussion of potential misuse scenarios
  • Complete disclosure of compatibility constraints

3. Responsible Development

  • Test contributions for unintended consequences
  • Consider diverse user needs and contexts
  • Address potential bias in implementations
  • Design for appropriate accessibility and usability

4. Research Integrity

  • Accurately document command discovery processes
  • Provide evidence for effectiveness claims
  • Acknowledge limitations and uncertainties
  • Give appropriate credit to prior work

We appreciate your contributions to the pareto-lang ecosystem! By following these guidelines, you help ensure that this emergent interpretability dialect continues to develop as a valuable tool for understanding and working with advanced transformer models.

For questions not covered in this guide, please reach out to the core team at [email protected] or open a discussion in the GitHub repository.