Phase 6 round-2 reviewer revisions: §III-H.1 promotion + framing alignment

Structural:
- Promote operational classifier definition from §III-L.0 to new §III-H.1, so
  the reader meets the five-way HC/MC/HSC/UN/LH rule before the §III-I/J/K
  diagnostic chain instead of ~130 lines after. §III-L renamed to
  "Anchor-Based Threshold Calibration"; §III-L.0 retains only calibration
  methodology, three units of analysis, any-pair semantics, and the FAR
  terminological note. §III-L.7 deleted (redundant with §III-J).
- Reorganise §V-H Limitations into Primary / Secondary / Documented features /
  Engineering groupings (was a flat 14-item list).
- Reframe §III-M from "ten-tool unsupervised-validation collection" to
  "each diagnostic addresses one specific unsupervised failure mode";
  rename "What v4.0 does/does not claim" → "Limits / Scope of the present
  analysis"; retitle Table XXVII.

Framing alignment (cross-section):
- Strip all v3.x / v4.0 / v3.20 / v4-new / inherited lineage labels from
  rendered text (Abstract, Intro, §II, §III, §IV, §V, §VI, Appendix, Impact).
- Replace "Paper A" rule references with "deployed" rule references.
- Soften "validation" to "characterise" / "check" / "screening label" /
  "consistency check" / "support"; "verdict" → "screening label".
- Remove codex-verified spike claims (non-Big-4 jittered dHash, Big-4 pooled
  cosine after firm-mean centring). Only formally scripted evidence
  (Scripts 39b–39e) retained; non-Big-4 evidence framed as corroborating
  raw-axis cosine, not as calibration evidence.
- Strip script-provenance parentheticals from Introduction; defer Script 39c
  internal references and similar to Methodology / Appendix.

Numerical / table fixes:
- §III-C document-count arithmetic: 12 corrupted → 13 corrupted/unreadable,
  verified against sqlite DB and total-pdf/ folder counts (90,282 - 4,198
  no-sig - 13 corrupted = 86,071 → 85,042 with detections → 182,328 sigs →
  168,755 CPA-matched). Table I shows VLM-positive (86,084) and
  processed-for-extraction (86,071) as separate rows.
- Wilson 95% CIs added for joint-rule ICCR rows in Table XXI / methodology
  table ([0.00011, 0.00018] and [0.00008, 0.00014]).
- Unit error fixed: 0.3856 pp / 0.4431 pp → 0.3856 (38.6 pp) / 0.4431 (44.3 pp).

Smaller revisions:
- Pipeline framing: "detecting" → "screening" in Abstract / Intro / Conclusion
  for consistency with the unsupervised-screening positioning.
- "hard ground-truth subset" → "conservative hard-positive subset" throughout.
- §III-F SSIM / pixel-comparison rebuttal compressed from ~15 lines to 4;
  design-level argument deferred to supplementary materials.
- "stakeholders can adopt / can derive thresholds" → "alternative operating
  points can be characterised by inverting" (less prescriptive).
- "the same mechanism extending in milder form to Firms B/C/D" → "similar,
  milder production-related reuse patterns at Firms B/C/D" (mechanism claim
  softened).
- Appendix A "non-hand-signed mode" / "two-mechanism mixture" lineage language
  aligned with v4 framing.

Appendix B:
- Rebuilt as a redirect-only stub. The HTML-commented obsolete table mapping
  (Table IX–XVIII labels with FAR / capture-rate / validation language) is
  removed; replaced with a short paragraph pointing to supplementary
  materials for full table-to-script provenance.

Cross-references:
- All §III-L references for the rule definition retargeted to §III-H.1;
  references for calibration still point to §III-L.
- §III-H references for byte-level Firm A evidence / non-Big-4 reverse anchor
  retargeted to §III-H.2.

Artefacts:
- Combined manuscript regenerated: paper_a_v4_combined.md, 1314 lines
  (was 1346 pre-review).
- Two review handoff documents added:
  paper/review_handoff_abstract_intro_20260515.md
  paper/review_handoff_body_20260515.md

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

paper/paper_a_appendix_v3.md

@@ -27,38 +27,13 @@ First, the procedure consistently identifies a "transition" under every bin widt
 The $Z$ statistics also inflate superlinearly with the bin width (Firm A cosine $|Z|$ rises from $\sim 9$ at bin 0.003 to $\sim 106$ at bin 0.015) because wider bins aggregate more mass per bin and therefore shrink the per-bin standard error on a very large sample.
 Both features are characteristic of a histogram-resolution artifact rather than of a genuine density discontinuity.
 
-Second, the candidate transitions all locate *inside* the non-hand-signed mode (cosine $\geq 0.975$, dHash $\leq 10$) rather than between modes, which is the location pattern we would expect of a clean two-mechanism boundary.
+Second, the candidate transitions all locate *inside* the high-similarity region (cosine $\geq 0.975$, dHash $\leq 10$) rather than at a between-mode boundary, which is the location pattern we would expect of a clean within-population antimode.
 
 Taken together, Table A.I shows that the signature-level BD/McCrary transitions are not a threshold in the usual sense---they are histogram-resolution-dependent local density anomalies located *inside* the non-hand-signed mode rather than between modes.
-This observation supports the main-text decision to use BD/McCrary as a density-smoothness diagnostic rather than as a threshold estimator and reinforces the joint reading of Section IV-D that per-signature similarity does not form a clean two-mechanism mixture.
+This observation supports the main-text decision to use BD/McCrary as a density-smoothness diagnostic rather than as a threshold estimator and reinforces the joint reading of Section IV-D that the descriptor distributions do not contain a within-population bimodal antimode that could anchor an operational threshold.
 
 Raw per-bin $Z$ sequences and $p$-values for every (variant, bin-width) panel are available in the supplementary materials.
 
-# Appendix B. Table-to-Script Provenance
+# Appendix B. Reproducibility Materials
 
-For reproducibility, the following table maps each numerical table in Section IV to the analysis script that produces its underlying values and to the report file emitted by that script. Scripts are under `signature_analysis/`. Report artifact paths below are listed relative to the project's analysis report root, which is `/Volumes/NV2/PDF-Processing/signature-analysis/` in our local deployment; replicators should rebase the paths to whatever report root they configure when invoking the scripts.
-
-<!-- TABLE B.I: Manuscript table → reproduction artifact
-| Manuscript table | Generating script | Report artifact |
-|------------------|-------------------|-----------------|
-| Table III (extraction results) | `02_extract_features.py`; `09_pdf_signature_verdict.py` | `reports/extraction_methodology.md`; `reports/pdf_signature_verdicts.json` |
-| Table IV (intra/inter all-pairs cosine statistics) | `10_formal_statistical_analysis.py` | `reports/formal_statistical_data.json`; `reports/formal_statistical_report.md` |
-| Table V (Hartigan dip test) | `15_hartigan_dip_test.py` | `reports/dip_test/dip_test_results.json` |
-| Table VI (signature-level threshold-estimator summary) | `17_beta_mixture_em.py`; `25_bd_mccrary_sensitivity.py` | `reports/beta_mixture/beta_mixture_results.json`; `reports/bd_sensitivity/bd_sensitivity.json` |
-| Table IX (Firm A whole-sample capture rates) | `19_pixel_identity_validation.py`; `24_validation_recalibration.py` | `reports/pixel_validation/pixel_validation_results.json`; `reports/validation_recalibration/validation_recalibration.json` |
-| Table X (cosine threshold sweep, FAR vs inter-CPA negatives) | `21_expanded_validation.py` | `reports/expanded_validation/expanded_validation_results.json` |
-| Table XI (held-out vs calibration Firm A capture rates) | `24_validation_recalibration.py` | `reports/validation_recalibration/validation_recalibration.json` |
-| Table XII (operational-cut sensitivity 0.95 vs 0.945) | `24_validation_recalibration.py` | `reports/validation_recalibration/validation_recalibration.json` |
-| Table XII-B (cosine-threshold tradeoff: capture vs inter-CPA FAR) | `21_expanded_validation.py` (FAR column; canonical 50k-pair anchor); inline computation in revision (Firm A and non-Firm-A capture columns) | `reports/expanded_validation/expanded_validation_results.json` |
-| Table XIII (Firm A per-year cosine distribution) | `29_firm_a_yearly_distribution.py` | `reports/firm_a_yearly/firm_a_yearly_distribution.json` |
-| Fig. 4 (per-firm yearly best-match cosine, 2013-2023) | `30_yearly_big4_comparison.py` | `reports/figures/fig_yearly_big4_comparison.{png,pdf}`; `reports/firm_yearly_comparison/firm_yearly_comparison.{json,md}` |
-| Tables XIV / XV (partner-level similarity ranking) | `22_partner_ranking.py` | `reports/partner_ranking/partner_ranking_results.json` |
-| Table XVI (intra-report classification agreement) | `23_intra_report_consistency.py` | `reports/intra_report/intra_report_results.json` |
-| Table XVII (document-level five-way classification) | `09_pdf_signature_verdict.py`; `12_generate_pdf_level_report.py` | `reports/pdf_signature_verdicts.json`; `reports/pdf_signature_verdict_report.md` (CSV / XLSX bulk reports also at `reports/`) |
-| Table XVIII (backbone ablation) | `paper/ablation_backbone_comparison.py` | `ablation/ablation_results.json` (sibling of `reports/`) |
-| Table A.I (BD/McCrary bin-width sensitivity) | `25_bd_mccrary_sensitivity.py` | `reports/bd_sensitivity/bd_sensitivity.json` |
-| Byte-identity decomposition (145 / 50 / 180 / 35; Section IV-F.1) | `28_byte_identity_decomposition.py` | `reports/byte_identity_decomp/byte_identity_decomposition.json` |
-| Cross-firm dual-descriptor convergence (Section IV-H.2) | `28_byte_identity_decomposition.py` | `reports/byte_identity_decomp/byte_identity_decomposition.json` |
--->
-
-The table-to-script mapping above is intended as a navigation aid for replicators. All scripts run deterministically under the fixed random seeds documented in the supplementary materials; the artifact paths above were verified against the local deployment at the time of submission, and any reviewer reproduction step should re-emit the artifacts from the listed scripts rather than depend on the absolute path layout.
+The full table-to-script provenance mapping, script source code, and report artefacts for every numerical table and figure in this paper are provided in the supplementary materials. Scripts run deterministically under fixed random seeds documented there; reviewer reproduction should re-emit artefacts from the listed scripts rather than rely on any local path layout.