This deposit contains the updated and corrected v17 release of “Appendix E, Line by Line: The Abraham/Gil Live-Response Ledger, ” a supplementary RTM document and reproducibility package. Appendix E is not a fifth primary RTM case file, is not part of the four-case sigma claims, and is not presented as blind prospective validation. It is a supplementary live-response ledger involving the Abraham Harpaz / Gil Harpaz response sequence. The document presents 96 printed ledger lines, a deterministic audit summary, raw Hebrew/gematria decomposition tables, a constant registry, external-input provenance requirements, construction-freedom null framing, sensitivity and ablation summaries, unscored addenda, and reported preliminary simulation-battery outputs. Version v17 includes targeted editorial and technical corrections, removes an unexplained external reference from the sensitivity section, and clarifies that the Strict V2 CSV files are mode-level summary outputs rather than the original 3, 000-row per-trial Colab export. The included reproducibility package contains the corrected v17 PDF, README, MANIFEST, simulation summary files, Strict Construction-Freedom Null V2 Extended summary CSVs, computational ablation results, placebo target-localization results, reported Colab run log, metadata, and a summary-output reproducer script. The reported preliminary simulation battery used seed 111, 1, 000 trials per mode, and 3, 000 total Strict V2 trials across STRICTDIRECT, STRICTMATCHED, and STRICTADVERSARIALMATCHED modes. Under the stated validity gates, no random observer-ledger matched the reported joint identity/hybrid benchmark. These results are reported outputs and are not claimed as an independently rerun third-party replication. This release is intended as a transparent archival and reproducibility-oriented supplement. The arithmetic ledger is public and checkable, and the remaining documentation layers required for fuller external replication—raw-source artifacts, provenance records, and full per-trial simulation exports—are explicitly identified rather than inferred, normalized, or reconstructed.
Eran Harpaz (Thu,) studied this question.