Paper A v3.6: codex round-5 quick-wins cleanup (Minor Revision)

Codex gpt-5.4 round-5 (codex_review_gpt54_v3_5.md) verdict was Minor
Revision - all v3.4 round-4 PARTIAL/UNFIXED items now confirmed
RESOLVED, including line-by-line recomputation of Table XI z/p
matching the manuscript values. This commit cleans the remaining
quick-win items:

Table IX numerical sync to Script 24 authoritative values
- Five count corrections: cos>0.837 (60,405->60,408), cos>0.945
  (57,131/94.52% -> 56,836/94.02%, was 295 sigs / 0.50 pp off),
  cos>0.973 (48,910/80.91% -> 48,028/79.45%, was 882 sigs / 1.46 pp
  off), cos>0.95 (55,916->55,922), dh<=8 (57,521->57,527),
  dh<=15 (60,345->60,348), dual (54,373->54,370).
- Threshold label cos>0.941 -> cos>0.9407 (use exact calib-fold P5
  rather than rounded value).
- "dHash_indep <= 5 (calib-fold median-adjacent)" relabeled to
  "(whole-sample upper-tail of mode)" to match what III-L explains.
- Added "(operational dual)" / "(style-consistency boundary)" labels
  for unambiguous mapping into III-L category definitions.
- Removed circularity-language footnote inside the table comment.

Circularity overclaim removed paper-wide
- Methodology III-K (Section 3 anchor): "we break the resulting
  circularity" -> "we make the within-Firm-A sampling variance
  visible".
- Results IV-G.2 subsection title: "(breaks calibration-validation
  circularity)" -> "(within-Firm-A sampling variance disclosure)".
- Combined with the v3.5 Abstract / Conclusion edits, no surviving
  use of circular* anywhere in the paper.

export_v3.py title page now single-anonymized
- Removed "[Authors removed for double-blind review]" placeholder
  (IEEE Access uses single-anonymized review).
- Replaced with explicit "[AUTHOR NAMES - fill in before submission]"
  + affiliation placeholder so the requirement is unmissable.
- Subtitle now reads "single-anonymized review".

III-G stale "cosine-conditional dHash" sentence removed
- After the v3.5 III-L rewrite to dh_indep, the sentence at
  Methodology L131 referencing "cosine-conditional dHash used as a
  diagnostic elsewhere" no longer described any current paper usage.
- Replaced with a positive statement that dh_indep is the dHash
  statistic used throughout the operational classifier and all
  reported capture-rate analyses.

Abstract trimmed 247 -> 242 words for IEEE 250-word safety margin
- "an end-to-end pipeline" -> "a pipeline"; "Unlike signature
  forgery" -> "Unlike forgery"; "we report" passive recast; small
  conjunction trims.

Outstanding items deferred (require user decision / larger scope):
- BD/McCrary either substantiate (Z/p table + bin-width robustness)
  or demote to supplementary diagnostic.
- Visual-inspection protocol disclosure (sample size, rater count,
  blinding, adjudication rule).
- Reproducibility appendix (VLM prompt, HSV thresholds, seeds, EM
  init / stopping / boundary handling).

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

paper/paper_a_methodology_v3.md

@@ -128,8 +128,8 @@ The intra-report consistency analysis in Section IV-H.3 is a related but distinc
 A direct empirical check of the within-auditor-year assumption at the same-CPA level would require labeling multiple reports of the same CPA in the same year and is left to future work; in this paper we maintain the assumption as an identification convention motivated by industry practice and bounded by the worst-case aggregation rule of Section III-L.
 
 For accountant-level analysis we additionally aggregate these per-signature statistics to the CPA level by computing the mean best-match cosine and the mean *independent minimum dHash* across all signatures of that CPA.
-The *independent minimum dHash* of a signature is defined as the minimum Hamming distance to *any* other signature of the same CPA (over the full same-CPA set), in contrast to the *cosine-conditional dHash* used as a diagnostic elsewhere, which is the dHash to the single signature selected as the cosine-nearest match.
-The independent minimum avoids conditioning on the cosine choice and is therefore the conservative structural-similarity statistic for each signature.
+The *independent minimum dHash* of a signature is defined as the minimum Hamming distance to *any* other signature of the same CPA (over the full same-CPA set).
+The independent minimum is unconditional on the cosine-nearest pair and is therefore the conservative structural-similarity statistic; it is the dHash statistic used throughout the operational classifier (Section III-L) and all reported capture-rate analyses.
 These accountant-level aggregates are the input to the mixture model described in Section III-J and to the accountant-level three-method analysis in Section III-I.5.
 
 ## H. Calibration Reference: Firm A as a Replication-Dominated Population
@@ -235,7 +235,7 @@ Inter-CPA pairs cannot arise from reuse of a single signer's stored signature im
 This anchor is substantially larger than a simple low-similarity-same-CPA negative and yields tight Wilson 95% confidence intervals on FAR at each candidate threshold.
 
 3. **Firm A anchor (replication-dominated prior positive):** Firm A signatures, treated as a majority-positive reference whose left tail contains a minority of hand-signers, as directly evidenced by the 32/171 middle-band share in the accountant-level mixture (Section III-H).
-Because Firm A is both used for empirical percentile calibration in Section III-H and as a validation anchor, we break the resulting circularity by splitting Firm A CPAs randomly (at the CPA level, not the signature level) into a 70% *calibration* fold and a 30% *heldout* fold.
+Because Firm A is both used for empirical percentile calibration in Section III-H and as a validation anchor, we make the within-Firm-A sampling variance visible by splitting Firm A CPAs randomly (at the CPA level, not the signature level) into a 70% *calibration* fold and a 30% *heldout* fold.
 Median, 1st percentile, and 95th percentile of signature-level cosine/dHash distributions are derived from the calibration fold only.
 The heldout fold is used exclusively to report post-hoc capture rates with Wilson 95% confidence intervals.