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GBSKernels v0.2.0

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@chaofanzhougit chaofanzhougit released this 22 Jul 14:49
· 20 commits to main since this release

Changelog

0.2.0 - 2026-07-22

Distribution

  • The verified wheel and source archive are published on
    PyPI. A clean Python 3.12
    installation passed the packaged end-to-end consumer example.

Important Correction

  • Replace the legacy Jiuzhang state reconstruction with the published
    paired-source Q7 construction and the exact real xxpp threshold-torontonian
    matrix. The two v0.1 frontier JSON files remain historical artifacts and are
    rejected by the current figure tooling.

Added

  • A fail-closed Jiuzhang confirmatory-v2 workflow covering exposure-ledger
    audit, outcome-blind design, immutable public registration and beacon-derived
    selection, content-addressed evaluation, refusal recovery,
    reconstruction/calibration uncertainty, joint normalizer replicates,
    absolute predictive checks, simultaneous coherence-grid inference, and
    hash-verified release bundles.
  • Canonical registration, design, and exposure templates plus focused contract
    and regression tests for the workflow and exact xxpp construction.

Fixed

  • Harden certified recursive-torontonian bounds with directed downward
    subtraction, sound double-double magnitude bounds, and explicit
    double-double-to-FP64 collapse residual accounting, plus a dedicated
    enclosure gate.

Scope

  • This release provides code, templates, and validation contracts. It contains
    no completed v2 registration or new scientific outcome; external calibration,
    public timestamp/beacon evidence, and acquisition inputs remain required.