3a Block-bootstrap surrogates (B=804 bins≈11 yr, n=5000): raw r(+15d)
p=0.022 — marginally significant on undetrended series, driven by
the shared solar-cycle trend not a causal signal.
3b Partial correlation (sunspot-regressed, no filter): r(+15d) drops
from 0.079 to 0.029 (63%) — confirms solar-cycle confounding without
preprocessing circularity.
3c Spectral coherence in solar-cycle band = 0.840 (>0.776 threshold);
kNN mutual information at τ=+15d = 0.000 nats (p=1.000) — no
nonlinear dependence at the claimed lag.
3d Missing-data impact: 0% NaN at station thresholds 2/3/5; r(+15d)
unchanged — missing data is not a confound.
3e Bin-size sensitivity: dominant peak at τ≈-520d for 1/5/27-day bins;
r at +15d scales with bin size (solar-cycle leakage, not physical).
3f GK declustering removes 28.4% of events as aftershocks; r(+15d)
changes by only Δ=0.014 — aftershock clustering not a confound.
3g Per-solar-cycle analysis (cycles 21–24): r(+15d) all positive
(0.018–0.073) but dominant peak lags scattered (-65/-125/+125/-125d)
— phase-drifting solar-cycle artefact, not physical precursor.
Script fixes: vectorised block bootstrap (401×5000 → NumPy matmul),
kNN MI with sorted searchsorted (O(N log N), no inflated values),
coherence nperseg 512→2048 (resolves solar-cycle band), axhspan→axvspan.
Paper: new Methods subsections (block bootstrap, partial correlation,
nonlinear dependence); new Results subsections for each check; updated
Conclusions with 7-item robustness summary; Kraskov2004 and
GardnerKnopoff1974 added to refs.bib; Homola2023 updated to arXiv
preprint 2204.12310; eq:energy duplicate label fixed. PDF: 35 pages.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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\newlabel{fig:blockbootstrap}{{9}{21}{Block-bootstrap null distributions for the raw CR--seismic pair ($B = 804$ bins $\approx 11$~yr, $S = 5{,}000$ surrogates). \textbf {Left}: distribution of $r(+15\,\text {d})$ under the CBB null; observed value $r = 0.079$ (red) lies at the $p = 0.022$ tail. \textbf {Right}: distribution of the peak $|r|$; observed peak $0.135$ at $\tau = -525$~d lies at $p = 0.008$. Grey dashed lines mark the 95\% CI of the null.\relax }{figure.caption.18}{}}
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\newlabel{fig:partialcorr}{{10}{22}{Cross-correlation $r(\tau )$ for the raw seismic metric (blue) and the sunspot-regressed seismic residual (orange), both against the CR index, on the raw (unfiltered) in-sample series. The claimed $\tau = +15$~d (grey dashed line) shows $r_\text {raw} = 0.079$ vs.\ $r_\text {partial} = 0.029$, a 63\% reduction once the shared solar-cycle component is regressed out.\relax }{figure.caption.19}{}}
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\@writefile{lof}{\contentsline {figure}{\numberline {11}{\ignorespaces \textbf {Left}: Magnitude-squared coherence between the CR index and seismic metric (blue), with the solar-cycle band shaded (orange, 0.08--0.115 cycles\nobreakspace {}yr$^{-1}$) and the 95\% significance level (red dashed). The mean coherence in the SC band is 0.840, confirming a strong shared solar-cycle component. \textbf {Right}: kNN mutual information ($k = 5$) at lag $\tau = 0$ (blue) and $\tau = +15$\nobreakspace {}d (orange) vs.\ their respective shuffle-null distributions. Both observed MI values are indistinguishable from zero; $p(+15\,\text {d}) = 1.000$.\relax }}{23}{figure.caption.22}\protected@file@percent }
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\newlabel{fig:coherence}{{11}{23}{\textbf {Left}: Magnitude-squared coherence between the CR index and seismic metric (blue), with the solar-cycle band shaded (orange, 0.08--0.115 cycles~yr$^{-1}$) and the 95\% significance level (red dashed). The mean coherence in the SC band is 0.840, confirming a strong shared solar-cycle component. \textbf {Right}: kNN mutual information ($k = 5$) at lag $\tau = 0$ (blue) and $\tau = +15$~d (orange) vs.\ their respective shuffle-null distributions. Both observed MI values are indistinguishable from zero; $p(+15\,\text {d}) = 1.000$.\relax }{figure.caption.22}{}}
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\citation{GardnerKnopoff1974}
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\@writefile{lof}{\contentsline {figure}{\numberline {12}{\ignorespaces Cross-correlation $r(\tau )$ for three bin sizes: 1-day (left), 5-day (centre), 27-day (right). The dominant peak (red dotted) consistently falls near $\tau \approx -520$\nobreakspace {}days across all bin sizes. The correlation at the claimed $\tau = +15$\nobreakspace {}days (grey dashed) increases from 0.036 to 0.123 as bin size increases, consistent with increasing solar-cycle leakage rather than a physical short-lag signal.\relax }}{24}{figure.caption.24}\protected@file@percent }
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\newlabel{fig:binsize}{{12}{24}{Cross-correlation $r(\tau )$ for three bin sizes: 1-day (left), 5-day (centre), 27-day (right). The dominant peak (red dotted) consistently falls near $\tau \approx -520$~days across all bin sizes. The correlation at the claimed $\tau = +15$~days (grey dashed) increases from 0.036 to 0.123 as bin size increases, consistent with increasing solar-cycle leakage rather than a physical short-lag signal.\relax }{figure.caption.24}{}}
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\newlabel{sec:res:decluster}{{4.13}{24}{Earthquake Declustering (Gardner--Knopoff)}{subsection.4.13}{}}
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\@writefile{lof}{\contentsline {figure}{\numberline {13}{\ignorespaces Cross-correlation for the full catalogue ($n = 232{,}043$ events, blue) and the Gardner--Knopoff declustered catalogue ($n = 166{,}169$ mainshocks, orange), in-sample 1976--2019. Removing 28.4\% of events as aftershocks changes $r(+15\,\text {d})$ by only $\Delta r = 0.014$, confirming the result is not driven by aftershock swarms.\relax }}{25}{figure.caption.25}\protected@file@percent }
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\newlabel{fig:decluster}{{13}{25}{Cross-correlation for the full catalogue ($n = 232{,}043$ events, blue) and the Gardner--Knopoff declustered catalogue ($n = 166{,}169$ mainshocks, orange), in-sample 1976--2019. Removing 28.4\% of events as aftershocks changes $r(+15\,\text {d})$ by only $\Delta r = 0.014$, confirming the result is not driven by aftershock swarms.\relax }{figure.caption.25}{}}
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\newlabel{tab:subcycles}{{5}{25}{Per-solar-cycle cross-correlation at $\tau = +15$~days and the within-cycle dominant peak.\relax }{table.caption.26}{}}
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\@writefile{lof}{\contentsline {figure}{\numberline {14}{\ignorespaces Cross-correlation $r(\tau )$ within each of the four complete solar cycles (21--24) of the in-sample period (1976--2019). The claimed lag $\tau = +15$\nobreakspace {}days (grey dashed) shows modest positive correlations (0.018--0.073), but the dominant peak lag (red dotted) is inconsistent across cycles ($-65$, $-125$, $+125$, $-125$\nobreakspace {}days), pointing to a drift in the relative solar-cycle phase rather than a physical mechanism.\relax }}{26}{figure.caption.27}\protected@file@percent }
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\newlabel{fig:subcycles}{{14}{26}{Cross-correlation $r(\tau )$ within each of the four complete solar cycles (21--24) of the in-sample period (1976--2019). The claimed lag $\tau = +15$~days (grey dashed) shows modest positive correlations (0.018--0.073), but the dominant peak lag (red dotted) is inconsistent across cycles ($-65$, $-125$, $+125$, $-125$~days), pointing to a drift in the relative solar-cycle phase rather than a physical mechanism.\relax }{figure.caption.27}{}}
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\@writefile{lof}{\contentsline {figure}{\numberline {15}{\ignorespaces Heatmap of BH-significant station--grid-cell pairs ($q = 0.05$). Each row is an NMDB station; each column is a $10° \times 10°$ seismic grid cell. Significant pairs (455/7{,}037) are scattered without obvious geographic clustering, inconsistent with a local coupling mechanism.\relax }}{27}{figure.caption.28}\protected@file@percent }
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\newlabel{fig:geoheatmap}{{15}{27}{Heatmap of BH-significant station--grid-cell pairs ($q = 0.05$). Each row is an NMDB station; each column is a $10° \times 10°$ seismic grid cell. Significant pairs (455/7{,}037) are scattered without obvious geographic clustering, inconsistent with a local coupling mechanism.\relax }{figure.caption.28}{}}
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\@writefile{lof}{\contentsline {figure}{\numberline {16}{\ignorespaces Optimal lag $\tau ^*(s,g)$ vs.\ great-circle distance $d(s,g)$ for all 7{,}037 station--cell pairs (grey) and BH-significant pairs (coloured by peak $|r|$). The OLS regression line (red) has slope $\beta = -0.45$\nobreakspace {}days/1000\,km ($p=0.21$), consistent with zero. A local propagation mechanism would predict a positive slope.\relax }}{27}{figure.caption.29}\protected@file@percent }
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\newlabel{fig:geodistlag}{{16}{27}{Optimal lag $\tau ^*(s,g)$ vs.\ great-circle distance $d(s,g)$ for all 7{,}037 station--cell pairs (grey) and BH-significant pairs (coloured by peak $|r|$). The OLS regression line (red) has slope $\beta = -0.45$~days/1000\,km ($p=0.21$), consistent with zero. A local propagation mechanism would predict a positive slope.\relax }{figure.caption.29}{}}
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\@writefile{lof}{\contentsline {figure}{\numberline {17}{\ignorespaces Out-of-sample cross-correlation function (2020--2025, $T=390$ bins, $10^5$ phase surrogates). The observed $r(\tau )$ (black) lies within the surrogate 95th-percentile envelope (grey shading). The claimed signal at $\tau = +15$\nobreakspace {}d (vertical line) is $r = 0.030$ --- below the surrogate 95th percentile of 0.101.\relax }}{28}{figure.caption.30}\protected@file@percent }
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\newlabel{fig:oosxcorr}{{17}{28}{Out-of-sample cross-correlation function (2020--2025, $T=390$ bins, $10^5$ phase surrogates). The observed $r(\tau )$ (black) lies within the surrogate 95th-percentile envelope (grey shading). The claimed signal at $\tau = +15$~d (vertical line) is $r = 0.030$ --- below the surrogate 95th percentile of 0.101.\relax }{figure.caption.30}{}}
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\@writefile{lot}{\contentsline {table}{\numberline {6}{\ignorespaces Pre-registered prediction scorecard for the out-of-sample window.\relax }}{28}{table.caption.31}\protected@file@percent }
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\newlabel{tab:prereg}{{6}{28}{Pre-registered prediction scorecard for the out-of-sample window.\relax }{table.caption.31}{}}
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\@writefile{lof}{\contentsline {figure}{\numberline {18}{\ignorespaces Rolling $r(+15\,\text {d})$ in 18-month overlapping windows across the out-of-sample period. Error bars are bootstrap 95\% confidence intervals. The grey horizontal band shows the surrogate 95th percentile. The signal shows no consistent sign or trend.\relax }}{29}{figure.caption.32}\protected@file@percent }
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\newlabel{fig:rolling}{{18}{29}{Rolling $r(+15\,\text {d})$ in 18-month overlapping windows across the out-of-sample period. Error bars are bootstrap 95\% confidence intervals. The grey horizontal band shows the surrogate 95th percentile. The signal shows no consistent sign or trend.\relax }{figure.caption.32}{}}
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\@writefile{toc}{\contentsline {subsection}{\numberline {4.17}Combined 1976--2025 Analysis: Sinusoidal Modulation}{29}{subsection.4.17}\protected@file@percent }
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\newlabel{sec:res:combined}{{4.17}{29}{Combined 1976--2025 Analysis: Sinusoidal Modulation}{subsection.4.17}{}}
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\@writefile{lof}{\contentsline {figure}{\numberline {19}{\ignorespaces Annual rolling $r(+15\,\text {d})$ across the full 1976--2025 period (grey points with 95\% bootstrap CI). The sinusoidal best-fit (red curve, $P = 13.0$\nobreakspace {}yr) and the constant-mean model (dashed) are nearly indistinguishable; BIC comparison slightly favours the constant model ($\text {BF} = 0.75$). The vertical dashed line marks the in-sample/out-of-sample split (2020).\relax }}{29}{figure.caption.33}\protected@file@percent }
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\newlabel{fig:combined}{{19}{29}{Annual rolling $r(+15\,\text {d})$ across the full 1976--2025 period (grey points with 95\% bootstrap CI). The sinusoidal best-fit (red curve, $P = 13.0$~yr) and the constant-mean model (dashed) are nearly indistinguishable; BIC comparison slightly favours the constant model ($\text {BF} = 0.75$). The vertical dashed line marks the in-sample/out-of-sample split (2020).\relax }{figure.caption.33}{}}
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\citation{Homola2023}
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\citation{Odintsov2006}
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\citation{Urata2018}
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\citation{Homola2023}
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\citation{Homola2023}
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\bibstyle{plainnat}
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\bibdata{refs}
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\bibcite{Aplin2005}{{1}{2006}{{Aplin}}{{}}}
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\bibcite{Bartlett1946}{{2}{1946}{{Bartlett}}{{}}}
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\bibcite{Benjamini1995}{{3}{1995}{{Benjamini and Hochberg}}{{}}}
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\bibcite{Bretherton1999}{{4}{1999}{{Bretherton et~al.}}{{Bretherton, Widmann, Dymnikov, Wallace, and Blade}}}
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\bibcite{Cleveland1990}{{5}{1990}{{Cleveland et~al.}}{{Cleveland, Cleveland, McRae, and Terpenning}}}
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\bibcite{GardnerKnopoff1974}{{6}{1974}{{Gardner and Knopoff}}{{}}}
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\bibcite{HP1997}{{7}{1997}{{Hodrick and Prescott}}{{}}}
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\bibcite{Homola2023}{{8}{2022}{{Homola et~al.}}{{}}}
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\bibcite{Kanamori1977}{{9}{1977}{{Kanamori}}{{}}}
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\bibcite{Kraskov2004}{{10}{2004}{{Kraskov et~al.}}{{Kraskov, St{\"o}gbauer, and Grassberger}}}
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\bibcite{Odintsov2006}{{11}{2006}{{Odintsov et~al.}}{{Odintsov, Boyarchuk, Georgieva, Kirov, and Atanasov}}}
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\bibcite{Potgieter2013}{{12}{2013}{{Potgieter}}{{}}}
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\bibcite{Pulinets2004}{{13}{2004}{{Pulinets and Boyarchuk}}{{}}}
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\bibcite{RahnUhlig2002}{{14}{2002}{{Ravn and Uhlig}}{{}}}
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\bibcite{Schreiber2000}{{15}{2000}{{Schreiber and Schmitz}}{{}}}
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\bibcite{SIDC2024}{{16}{2024}{{SILSO World Data Center}}{{}}}
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\bibcite{Stoupel1990}{{17}{1990}{{Stoupel}}{{}}}
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\bibcite{Tavares2011}{{18}{2011}{{Tavares and Azevedo}}{{}}}
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\bibcite{Theiler1992}{{19}{1992}{{Theiler et~al.}}{{Theiler, Eubank, Longtin, Galdrikian, and Farmer}}}
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\bibcite{Urata2018}{{20}{2018}{{Urata and Tanimoto}}{{}}}
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\bibcite{USGS2024}{{21}{2024}{{USGS Earthquake Hazards Program}}{{}}}
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\gdef \@abspage@last{35}
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