Robert Allan JamesandClaude Sonnet 5
66ba21adb4
doe_log.c's per-heartbeat-tick CSV gains two columns: fleet_k_q48 (vm_physics_fleet_heat_sum() over ALL live VMs -- the genuine fleet-wide conservation invariant K, not reconstructable from the 3 named-Tripod- member heat columns already logged, which omit every identity VM's own heat) and fleet_conserved (vm_physics_conserved() as 0/1). Requested explicitly after the first heartbeat-telemetry analysis pass (analysis-20260912/) omitted K entirely. Kernel rebuilt on all three architectures, full 3x9x3 campaign rerun (results-20260912-with-k/). K = 1.0000000000 (Q48.16 raw 65536) on every one of 775 heartbeat-tick observations, sd(K) = 0, 100% fleet_conserved, across amd64/aarch64/riscv64, nine identities, three replicates -- zero deviation. Also a free regression check on both recent Stadium fixes (§XVI/§XVII): neither disturbed the reservoir-transfer accounting K depends on. Found and fixed a tooling wrinkle along the way: fleet_conserved, being the CSV row's very last field with nothing after it to bound a regex match, can have a resumed trial digit merge into it with zero separator on the wire -- combine.py now derives it from fleet_k_q48 directly (same epsilon vm_physics_conserved() uses) instead of trusting the raw field. fleet_k_q48 itself is unaffected either way. Full analysis, discussion, and light/dark SVG->PDF figures written up as a proper LaTeX report (report-20260912/report/std79_doe_report.pdf), following experiments/bare_metal/analysis/report/bare_metal_doe_report.tex's established style -- supersedes analysis-20260912/'s markdown-only first pass as the primary deliverable for this dataset (kept, not discarded). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EXieurDfDSsDFdnSyusuWo
50 lines
4.5 KiB
CSV
50 lines
4.5 KiB
CSV
"Df","Sum Sq","Mean Sq","F value","Pr(>F)","term","metric"
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2,2871.18364104002,1435.59182052001,30.6434785507596,1.61751091242964e-13,"arch","hot_word_count"
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8,6532.23252167245,816.529065209056,17.4292515032177,6.18274217940964e-24,"id_label","hot_word_count"
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16,420.963573839056,26.310223364941,0.561605850510644,0.912774255663442,"arch:id_label","hot_word_count"
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748,35042.4538118356,46.8482002832026,NA,NA,"Residuals","hot_word_count"
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2,0.000110222950232208,5.5111475116104e-05,1.33616626895682,0.263478075337801,"arch","avg_word_heat"
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8,0.00671583228728012,0.000839479035910015,20.3529948874766,5.38307912630422e-28,"id_label","avg_word_heat"
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16,0.000252299992928325,1.57687495580203e-05,0.382310058271292,0.986405235966245,"arch:id_label","avg_word_heat"
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748,0.0308519862719105,4.1245970951752e-05,NA,NA,"Residuals","avg_word_heat"
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2,1613.50610388232,806.75305194116,0.237943696907345,0.788306711116591,"arch","window_width"
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8,170411.416839865,21301.4271049831,6.28264163682603,6.82783088355649e-08,"id_label","window_width"
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16,16979.2477207377,1061.2029825461,0.312991144227537,0.995562418188896,"arch:id_label","window_width"
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748,2536109.55320649,3390.52079305681,NA,NA,"Residuals","window_width"
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2,1613.50610388232,806.75305194116,0.237943696907345,0.788306711116591,"arch","actual_window_size"
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8,170411.416839865,21301.4271049831,6.28264163682603,6.82783088355649e-08,"id_label","actual_window_size"
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16,16979.2477207377,1061.2029825461,0.312991144227537,0.995562418188896,"arch:id_label","actual_window_size"
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748,2536109.55320649,3390.52079305681,NA,NA,"Residuals","actual_window_size"
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2,1.52254068123901e+37,7.61270340619503e+36,0.521556545719641,0.593811577987736,"arch","jitter_ns"
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8,7.30317829009602e+37,9.12897286262003e+36,0.625438204819833,0.756847741257894,"id_label","jitter_ns"
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16,5.58738365313855e+37,3.49211478321159e+36,0.239249478983533,0.999132455526952,"arch:id_label","jitter_ns"
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748,1.0917899879824e+40,1.45961228339893e+37,NA,NA,"Residuals","jitter_ns"
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2,866.306752055107,433.153376027554,20.0886023237134,3.37232501420112e-09,"arch","apic_delta"
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8,49.9125668811519,6.23907086014398,0.289352964366433,0.969548562401792,"id_label","apic_delta"
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16,67.0067284683875,4.18792052927422,0.19422559013035,0.999773696322206,"arch:id_label","apic_delta"
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668,14403.5135209407,21.5621459894321,NA,NA,"Residuals","apic_delta"
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2,25.6907088881539,12.8453544440769,9.55696633056636e+31,0,"arch","time_trust"
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8,5.07387313209545e-31,6.34234141511932e-32,0.471871318344206,0.876359817140231,"id_label","time_trust"
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16,1.16329108600318e-30,7.2705692875199e-32,0.540931635537058,0.925797539658654,"arch:id_label","time_trust"
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748,1.0053739640621e-28,1.34408283965522e-31,NA,NA,"Residuals","time_trust"
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2,68.2225870147907,34.1112935073954,2.422513810442e+32,0,"arch","variance"
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8,2.3144085598068e-30,2.8930106997585e-31,2.05455661550976,0.0379772295589065,"id_label","variance"
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16,5.38210536360518e-30,3.36381585225324e-31,2.38891273826966,0.00171123807974008,"arch:id_label","variance"
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748,1.05325498800258e-28,1.40809490374677e-31,NA,NA,"Residuals","variance"
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2,0.0447434492423393,0.0223717246211696,0.520711274484297,0.594313023015938,"arch","vm_call_depth_max"
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8,0.21350374435095,0.0266879680438687,0.621173650616505,0.760480755566665,"id_label","vm_call_depth_max"
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16,0.113232490895686,0.00707703068098039,0.164720857594085,0.999925725708897,"arch:id_label","vm_call_depth_max"
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748,32.1369074122852,0.0429637799629482,NA,NA,"Residuals","vm_call_depth_max"
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2,0.0498985751694249,0.0249492875847125,8.58095432714054e+30,0,"arch","hera_heat"
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8,1.94158681720204e-32,2.42698352150255e-33,0.834726630170273,0.57209115174177,"id_label","hera_heat"
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16,4.58302618381118e-32,2.86439136488199e-33,0.985166866735261,0.470943617456974,"arch:id_label","hera_heat"
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748,2.17482419808937e-30,2.9075189814029e-33,NA,NA,"Residuals","hera_heat"
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2,0.0104892805008398,0.0052446402504199,1.27213848469651e+30,0,"arch","hermes_heat"
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8,2.55082332251002e-32,3.18852915313752e-33,0.773408747141097,0.626351128342942,"id_label","hermes_heat"
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16,5.91995353135079e-32,3.69997095709425e-33,0.897463929275633,0.572213841370675,"arch:id_label","hermes_heat"
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748,3.08377661277181e-30,4.12269600637943e-33,NA,NA,"Residuals","hermes_heat"
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2,0.0146364082954824,0.00731820414774122,3.91854130116699e+29,0,"arch","artemis_heat"
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8,1.19206804399657e-31,1.49008505499571e-32,0.797867852874065,0.604600899927136,"id_label","artemis_heat"
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16,2.78784139663676e-31,1.74240087289798e-32,0.932970664086694,0.530626687104545,"arch:id_label","artemis_heat"
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748,1.39695266217564e-29,1.86758377296209e-32,NA,NA,"Residuals","artemis_heat"
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