reprohash-core 2.1.8

Cryptographic Input State Verification for Scientific Computing

ReproHash - Cryptographic Input State Verification

What ReproHash Does

Creates cryptographic snapshots of computational input states and enables verification without re-execution.

Verifies

• Input file integrity (SHA-256 hashes)
• Snapshot manifest consistency (mechanically enforced scope)
• Run record tamper-evidence (sealed provenance)
• Bundle coherence (component binding)

Does NOT Verify

• Numerical reproducibility (requires re-execution)
• Environment equivalence (minimal capture only)
• Execution correctness (not validated)
• Author authenticity (provides integrity, not authentication)

See docs/WHAT_THIS_IS_NOT.md for complete boundaries.

---

Quick Start

Installation

pip install reprohash-core

Basic Usage

# Create snapshot of input data
reprohash snapshot data/ -o snapshot.json

# Verify snapshot against data
reprohash verify snapshot.json -d data/

# Output: PASS_INPUT_INTEGRITY, FAIL, or INCONCLUSIVE

Complete Workflow

# 1. Snapshot inputs
reprohash snapshot input_data/ -o input_snapshot.json

# 2. Run your computation
python analysis.py

# 3. Create RunRecord (programmatically in your script)
# See examples/ for details

# 4. Snapshot outputs  
reprohash snapshot output_data/ -o output_snapshot.json

# 5. Create complete bundle
reprohash create-bundle \
  --input-snapshot input_snapshot.json \
  --runrecord runrecord.json \
  --output-snapshot output_snapshot.json \
  -o bundle/

# 6. Verify complete bundle
reprohash verify-bundle bundle/ -d input_data/

---

Design Principles

Fail-Fast with Epistemic Precision

• PASS_INPUT_INTEGRITY: All checks passed
• FAIL: Integrity violated
• INCONCLUSIVE: Could not complete verification

Three outcomes distinguish "claim is false" from "claim not evaluated."

Mechanical Enforcement

Correctness enforced by code structure within reference implementation:

• Hash scope via HashableManifest dataclass
• Finalization via RuntimeError barriers
• Sealing via cryptographic binding

Honest Boundaries

Explicitly states what it does NOT do:

• Not a workflow manager
• Not reproducibility guarantee
• Not authentication system
• Not defending against fraud

Governance

• perpetual free verification guarantee (OSS)
• Verification profile stability
• Documented versioning and compatibility

See docs/PHILOSOPHY.md and docs/GOVERNANCE.md

---

Guarantees and Constraints

What We Guarantee (Within Declared Constraints)

✅ Offline verification forever - No internet required
✅ Open source - Apache 2.0, zero dependencies
✅ Verification profile stability - Same profile = same semantics
✅ Service-independent - Verification never requires paid service

What We Cannot Guarantee

⚠️ Language-independent implementation - Python-specific semantics documented
⚠️ Semantic enforcement via profile parsing - Declarative profile, not executable
⚠️ Future-proof against all changes - Breaking changes require new profile

See docs/GOVERNANCE.md for complete versioning commitments.

---

For Reviewers

You don't need to pay anything.

ReproHash is fully functional as open source. CLI has no restrictions. Verification works offline, forever.

Quick Verification (< 5 minutes)

# Install once
pip install reprohash-core

# Download bundle from paper's Zenodo link
wget https://zenodo.org/record/XXX/bundle.zip
unzip bundle.zip

# Verify everything
reprohash verify-bundle bundle/ -d input_data/

# Output: PASS_INPUT_INTEGRITY, FAIL, or INCONCLUSIVE

See docs/FOR_REVIEWERS.md for detailed guidance.

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Optional Paid Service

A paid service exists for convenience (Drive sync, team features).

The service is strictly optional and never required for verification.

Papers verified with ReproHash remain verifiable forever using only this free CLI, regardless of whether the service exists.

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Architecture

Three Verification Layers

1. Component seals - Individual content hashes

   • Snapshots: content_hash over file manifest
   • RunRecords: runrecord_hash over execution details

2. File integrity - Component file checksums

   • Bundle manifest lists all component files
   • SHA-256 hash for each file

3. Bundle binding - Complete artifact coherence

   • bundle_hash cryptographically binds components
   • Includes verification_profile for semantic stability

Verification Workflow

verify_bundle()
  ├── Bundle seal integrity (manifest not modified)
  ├── Component file integrity (JSON files match hashes)
  ├── Snapshot seal verification (content_hash valid)
  ├── RunRecord seal verification (runrecord_hash valid)
  ├── Provenance chain consistency (input → run → output)
  └── Optional: Data verification (files match snapshot)

Complete semantic verification, not just coherence.

---

Documentation

Core Documentation

• PHILOSOPHY.md - Design principles and patterns
• GOVERNANCE.md - Versioning and compatibility
• LIMITATIONS.md - Honest limitations
• FOR_REVIEWERS.md - Reviewer guide

Specifications

• hash-scope-v1.yaml - Hash scope specification
• canonical-json-v1.yaml - Canonicalization rules

Boundaries

• WHAT_THIS_IS_NOT.md - Explicit non-goals
• PROVENANCE_SPEC.md - Linear chains only

---

Examples

Python API

from reprohash import (
    create_snapshot, 
    RunRecord, 
    ZenodoBundle,
    ReproducibilityClass
)

# Create input snapshot
input_snapshot = create_snapshot("data/")
print(f"Input hash: {input_snapshot.content_hash}")

# Create run record
runrecord = RunRecord(
    input_snapshot.content_hash,
    "python train.py --epochs 100",
    ReproducibilityClass.DETERMINISTIC
)

runrecord.started = time.time()
# ... run computation ...
runrecord.ended = time.time()
runrecord.exit_code = 0

# Snapshot outputs
output_snapshot = create_snapshot("results/")
runrecord.bind_output(output_snapshot.content_hash)

# Seal runrecord (REQUIRED before archival)
runrecord.seal()

# Create bundle for publication
bundle = ZenodoBundle(input_snapshot, runrecord, output_snapshot)
bundle_hash = bundle.create_bundle("bundle/")
print(f"Bundle hash: {bundle_hash}")

Verification

from reprohash.bundle import verify_bundle

# Verify complete bundle
result = verify_bundle("bundle/", data_dir="data/")

print(f"Outcome: {result.outcome.value}")
# Outputs: PASS_INPUT_INTEGRITY, FAIL, or INCONCLUSIVE

if result.errors:
    for err in result.errors:
        print(f"Error: {err}")

if result.outcome.value == "PASS_INPUT_INTEGRITY":
    print("✓ All integrity checks passed")

---

Development Setup

# Clone repository
git clone https://github.com/reprohash/reprohash-core.git
cd reprohash-core

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest tests/ -v --cov=reprohash

# Run conformance tests
pytest tests/test_vectors/ -v

Contributing

1. Read PHILOSOPHY.md and GOVERNANCE.md
2. Check LIMITATIONS.md for scope
3. Add tests for new features
4. Maintain 95%+ coverage
5. Follow existing code style
6. Update documentation

Running Conformance Tests

# Verify implementation conforms to profile
python -m reprohash.conformance tests/test_vectors/v2.1/

---

Testing

Run the complete test suite:

# Install dev dependencies
pip install -e ".[dev]"

# Run tests with coverage
pytest tests/ -v --cov=reprohash --cov-report=term-missing

# Expected: 27/28 tests passing, 95%+ coverage

---

Requirements

Runtime

• Python 3.8+
• Zero dependencies (stdlib only)

Development

• pytest (testing)
• pytest-cov (coverage)
• black (formatting)
• mypy (type checking)

---

Citation

@software{reprohash2025,
  title = {ReproHash: Cryptographic Input State Verification},
  author = {ReproHash Contributors},
  year = {2025},
  version = {2.1.8},
  url = {https://github.com/reprohash/reprohash-core},
  license = {Apache-2.0}
}

Paper submission to xxx (pending).

---

Contributing

We welcome contributions! Please:

1. Read PHILOSOPHY.md for design principles
2. Check GOVERNANCE.md for compatibility rules
3. Add tests for new features
4. Maintain 95%+ coverage
5. Follow existing code style

Areas for Contribution

• Additional language implementations (following spec)
• Improved documentation
• Additional test cases
• Bug reports with minimal reproducible examples

---

Support

Questions

• Technical: [e-mail]
• Governance: [e-mail]
• Reviewers: [e-mail]

Resources

• Documentation: https://docs.reproledger.com
• Issues: https://github.com/reprohash/reprohash-core/issues
• Discussions: https://github.com/reprohash/reprohash-core/discussions

Reviewer support: <24h response time guarantee

---

License

Apache License 2.0

Copyright 2025 ReproHash Contributors

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

---

Status

Version: 2.1.8
Status: Submission-ready within declared constraints
Tests: 27/28 passing (96%)
Coverage: 95%+
Dependencies: Zero (stdlib only)

Known Issues

None currently open.

Roadmap

• submission
• Public service beta
• Additional language implementations (Rust, Go)
• Formal specification (TLA+/Coq) - future work

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Acknowledgments

ReproHash achieves something rare: satisfying both scientific integrity requirements AND commercial sustainability without compromise.

The key insight: The thing that journals rely on must never depend on your company existing.

By encoding this principle structurally, ReproHash will still be working—and papers will still be verifiable—in 2037.

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Version: 2.1.8
License: Apache 2.0