DATASET_DIG_IN_GIT_WITNESS: Reproducible Hardware and Mirror-Test Runs for the DIG-in-GIT Framework (Raw Counts, Audit-Fixed Evaluation)

This dataset provides the complete, audit-fixed experimental material for the DIG-in-GIT witness analysis.

It contains:

All hardware run packs (ibm_fez, ibm_torino)

Raw count files (no mitigation, no post-selection)

Reference packs used during evaluation

Twin-sign reports

Sector fallback reports (where applicable)

Runner scripts used to generate the hardware jobs

Mirror-test run material

README documentation describing the evaluation protocol

Evaluation discipline:

Raw-count basis only

No error mitigation

No post-selection

Fixed reference pack per run

Fixed evaluator logic

No parameter tuning after data acquisition

The dataset allows full third-party reproduction of the reported DIG-in-GIT witness results, including twin-sign classification and dimensional consistency checks.

All materials are provided exactly as used in the reported analysis.A SHA256 checksum file accompanies the archive to ensure integrity verification.

Scope:

This dataset documents the operational layer of the DIG-in-GIT framework.It makes no ontological claims and introduces no new dynamical laws.It provides reproducible evidence regarding directional consistency structure under audit-fixed evaluation conditions.

Correspondence regarding this work may be directed to:[e-mail]