ReproWeave v0.4.2

What's Changed

• Fix deep Windows workspace paths by @CAOShurong in #13

Full Changelog: v0.4.1...v0.4.2

ReproWeave v0.4.1

What's Changed

• Support deep Windows artifact paths by @CAOShurong in #11

Full Changelog: v0.4.0...v0.4.1

ReproWeave v0.4.0

What's Changed

• Preflight bibliography imports and flag duplicates by @CAOShurong in #9

Full Changelog: v0.3.0...v0.4.0

ReproWeave v0.3.0

What's Changed

• Require explicit reviewer consensus and strict workspace integrity by @CAOShurong in #6

Full Changelog: v0.2.1...v0.3.0

ReproWeave v0.2.1

What's Changed

• Refine README visual explanations by @CAOShurong in #4
• Prepare verified PyPI release 0.2.1 by @CAOShurong in #5

New Contributors

• @CAOShurong made their first contribution in #4

Full Changelog: v0.2.0...v0.2.1

ReproWeave v0.2.0

Full Changelog: v0.1.0...v0.2.0

ReproWeave v0.1.0 — paper-to-replication evidence maps

ReproWeave v0.1.0 is the first public release of a local-first, zero-runtime-dependency toolkit for turning engineering and AI papers into auditable evidence maps and dependency-aware replication plans.

Highlights:

• Seven file-native artifact types with published JSON Schemas
• Offline BibTeX and CSL JSON import
• Eight-dimension evidence-anchored reconstructability rubric
• Typed evidence graph, gap backlog, and replication DAG planning
• Cross-reference audits and SHA-256 evidence seals
• Self-contained interactive HTML, CSV, Markdown, and JSON reports
• Fully synthetic 55-artifact EE/AI demonstration
• 75 tests across Windows and Ubuntu on Python 3.11 and 3.13

Interpretation boundary: scores describe documented reconstructability, not scientific quality, correctness, novelty, or integrity. The bundled demonstration is entirely fictional.

Wheel SHA-256: 465e7ed408e2ad878c04528464dab0d79016b1b0a27ed0ad15e135b1fe5ca078
Source distribution SHA-256: a425d8f020aa50328d701cc9d06a1ba0eb6b04cb4b7a276a1153ef51e19d2489