Issue Summary

Ringkasan Isu

🔴 Blocker Issues

🔴 Isu Blocker

B1 Table 11 "Fixed 4" and "Fixed 6" rows — fabricated labelsTable 11 baris "Fixed 4" dan "Fixed 6" — label palsu

Location:Lokasi: Section V.A, Table 11, lines 378–389. Bagian V.A, Tabel 11, baris 378–389.

• Row "Fixed | 4" values (0.7181 / 0.8595 / 0.8073 / 0.7916) exactly match Fixed PTW 5 s in benchmark_results_fixed.csv. The CSV contains only PTW ∈ {2, 3, 5, 8, 10}; there is no row for PTW = 4.
• Nilai baris "Fixed | 4" (0,7181 / 0,8595 / 0,8073 / 0,7916) persis sama dengan Fixed PTW 5 s di benchmark_results_fixed.csv. CSV hanya berisi PTW ∈ {2, 3, 5, 8, 10}; tidak ada baris untuk PTW = 4.
• Row "Fixed | 6" shows only composite 0.7808 with per-period cells as "—". No CSV evidence.
• Baris "Fixed | 6" hanya menampilkan nilai komposit 0,7808 dengan sel per-periode "—". Tidak ada bukti CSV.

B2 Table 11 "IDA-PTW Operational" row — no CSV sourceTable 11 baris "IDA-PTW Operational" — tanpa sumber CSV

Claimed values: 0.6464 / 0.6252 / 0.6746 / 0.7531 / composite 0.7309. These numbers appear only in the manuscript; no CSV in reports/ contains them.

Nilai yang diklaim: 0,6464 / 0,6252 / 0,6746 / 0,7531 / komposit 0,7309. Angka-angka ini hanya muncul di manuskrip; tidak ada CSV di reports/ yang memuatnya.

B3 Table 12 Post-P Full-Wave & Total MiniSEED — no CSV artifactTable 12 Post-P Full-Wave & Total MiniSEED — tanpa artefak CSV

Post-P Full-Wave Avg R² = 0.947, Total MiniSEED = 0.957. These values are quoted in validation_evidence_report.md as coming from "run c7a50193" and "run c3399cac" respectively — but no CSV files for these runs exist in reports/. Only the scalar numbers are cited.

Post-P Full-Wave Avg R² = 0,947, Total MiniSEED = 0,957. Nilai ini dikutip di validation_evidence_report.md sebagai hasil "run c7a50193" dan "run c3399cac" — namun tidak ada file CSV untuk run tersebut di reports/. Hanya angka skalar yang dikutip.

B4 Abstract + Conclusion "composite R² = 0.731"Abstract + Kesimpulan "composite R² = 0,731"

Abstract and Table 17 quote "operational composite R² = 0.731" — this matches Table 11's "IDA-PTW Operational" composite 0.7309, which has no CSV provenance (see B2). Meanwhile validation_evidence_report.md quotes IDA-PTW Avg R² = 0.832 — a 10 p.p. difference.

Abstract dan Table 17 mengutip "operational composite R² = 0,731" — cocok dengan komposit "IDA-PTW Operational" 0,7309 di Table 11 yang tidak memiliki provenance CSV (lihat B2). Sementara itu validation_evidence_report.md mengutip IDA-PTW Avg R² = 0,832 — selisih 10 p.p.

🟠 Major Issues

🟠 Isu Major

M1 Abstract N consistencyKonsistensi N di Abstract

Claim is consistent throughout ("25,058 traces from 336 events") — but intensity_correlation_metrics.csv sums to 28,266 traces across 4 intensity bins. If this file underpins any per-intensity R² in the paper, the N is inflated.

Klaim konsisten di seluruh manuskrip ("25.058 trace dari 336 event") — namun intensity_correlation_metrics.csv berjumlah total 28.266 trace di 4 bin intensitas. Jika file ini menjadi dasar R² per-intensitas mana pun, N tersebut menggelembung.

M2 Stage 1 "Damaging Recall = 91.09%" — no CSV confirmationStage 1 "Damaging Recall = 91,09%" — tanpa konfirmasi CSV

91.09% recall is stated multiple times but no Stage 1 confusion matrix or classifier metrics CSV is found in reports/.

Recall 91,09% disebut beberapa kali namun tidak ditemukan matriks konfusi Stage 1 atau CSV metrik classifier di reports/.

M3 Sigma decomposition Table 15 — no CSV sourceDekomposisi Sigma Table 15 — tanpa sumber CSV

All τ, φ, σ_total values per period (0.324, 0.619, 0.698, etc.) are in the manuscript but no sigma CSV is found. This is the core Al Atik et al. [44] result.

Semua nilai τ, φ, σ_total per-periode (0,324, 0,619, 0,698, dll) ada di manuskrip namun tidak ada CSV sigma. Ini adalah hasil inti framework Al Atik et al. [44].

🟡 Minor Issues

🟡 Isu Minor

• Table 9 "PTW Selection Distribution" N numbers don't sum to 25,058: 24,027 + 14,452 + 26 = 38,505. Three labeled rows don't represent a partition of the dataset — likely a copy-paste error.
• N pada "PTW Selection Distribution" di Table 9 tidak berjumlah 25.058: 24.027 + 14.452 + 26 = 38.505. Tiga baris berlabel tidak merepresentasikan partisi dataset — kemungkinan error copy-paste.
• Section III.C intensity class distribution shows 32,572 total: ~30,540 + ~1,931 + ~101. Sum ≠ 25,058. Recompute class counts on the 25,058 dataset so they sum exactly.
• Distribusi kelas intensitas di Section III.C berjumlah 32.572: ~30.540 + ~1.931 + ~101. Jumlah ≠ 25.058. Hitung ulang agar persis 25.058.
• Stage 0 AUC = 0.988 — consistent in abstract and Table 4 but no Stage 0 metrics CSV. Same kind of issue as M2.
• Stage 0 AUC = 0,988 — konsisten di abstract dan Table 4 namun tidak ada CSV metrik Stage 0. Isu sejenis dengan M2.

🟢 Verified OK

🟢 Terverifikasi OK

The manuscript is strongly supported by data for Evidence C (Saturation), Evidence D (P-arrival sensitivity), and the Fixed PTW benchmark — these tables (13, 14, and parts of 11) exactly match their authoritative CSVs. These sections can be submitted as-is.

Manuskrip didukung kuat oleh data untuk Evidence C (Saturation), Evidence D (P-arrival sensitivity), dan benchmark Fixed PTW — tabel-tabel ini (13, 14, dan sebagian 11) persis cocok dengan CSV otoritatifnya. Seksi-seksi ini bisa dikirim apa adanya.

The manuscript's structural logic and reference list are excellent (89 references, IEEE-complete, including the key Minson, Meier, Cremen & Galasso, Dai et al. citations). No citation issues found.

Logika struktural dan daftar referensi manuskrip sangat baik (89 referensi, lengkap untuk format IEEE, termasuk sitasi kunci Minson, Meier, Cremen & Galasso, Dai et al.). Tidak ada isu sitasi.

Priority Fix List for Publication-Readiness

Daftar Prioritas Perbaikan untuk Kesiapan Publikasi

1. [BLOCKER] Resolve Table 11 "Fixed 4/6" labels — either rename or regenerate.
2. [BLOCKER] Selesaikan label "Fixed 4/6" pada Table 11 — rename atau regenerasi.
3. [BLOCKER] Produce CSV artifact for IDA-PTW end-to-end operational metrics (composite 0.7309 and per-period values).
4. [BLOCKER] Buat artefak CSV untuk metrik end-to-end operational IDA-PTW (komposit 0,7309 dan nilai per-periode).
5. [BLOCKER] Re-run or document the Full-Wave 341 s and Total MiniSEED 430 s experiments with CSV output.
6. [BLOCKER] Re-run atau dokumentasikan eksperimen Full-Wave 341 s dan Total MiniSEED 430 s dengan output CSV.
7. [MAJOR] Save Stage 0 URPD classifier metrics CSV (AUC, FAR, Recall at 3 operating points).
8. [MAJOR] Simpan CSV metrik classifier Stage 0 URPD (AUC, FAR, Recall pada 3 operating point).
9. [MAJOR] Save Stage 1 classifier metrics CSV (confusion matrix, per-class P/R/F1).
10. [MAJOR] Simpan CSV metrik classifier Stage 1 (matriks konfusi, P/R/F1 per-kelas).
11. [MAJOR] Save sigma decomposition CSV (Table 15 τ/φ/σ per period).
12. [MAJOR] Simpan CSV dekomposisi sigma (Table 15: τ/φ/σ per-periode).
13. [MAJOR] Reconcile intensity class distribution N (30,540 + 1,931 + 101 ≠ 25,058).
14. [MAJOR] Rekonsiliasi N distribusi kelas intensitas (30.540 + 1.931 + 101 ≠ 25.058).
15. [MAJOR] Reconcile Table 9 PTW distribution N (38,505 ≠ 25,058).
16. [MAJOR] Rekonsiliasi N distribusi PTW Table 9 (38.505 ≠ 25.058).
17. [MINOR] Resolve "end-to-end vs Stage-2-oracle" semantic consistently throughout the paper.
18. [MINOR] Selesaikan ambiguitas semantik "end-to-end vs Stage-2-oracle" secara konsisten di seluruh paper.
19. [MINOR] Add a PROVENANCE.md mapping every number in every table to its producing CSV.
20. [MINOR] Tambahkan PROVENANCE.md yang memetakan setiap angka di setiap tabel ke CSV produsennya.