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LithosAnanake/experiments/std79-doe/report-20260912/tables/anova.csv
T
Robert Allan JamesandClaude Sonnet 5 66ba21adb4
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Log fleet_k_q48/fleet_conserved; K holds exactly, 775/775 ticks (FABRIC-3.md §XVIII)
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
2026-09-12 13:25:09 -04:00

4.5 KiB

1DfSum SqMean SqF valuePr(>F)termmetric
222871.183641040021435.5918205200130.64347855075961.61751091242964e-13archhot_word_count
386532.23252167245816.52906520905617.42925150321776.18274217940964e-24id_labelhot_word_count
416420.96357383905626.3102233649410.5616058505106440.912774255663442arch:id_labelhot_word_count
574835042.453811835646.8482002832026NANAResidualshot_word_count
620.0001102229502322085.5111475116104e-051.336166268956820.263478075337801archavg_word_heat
780.006715832287280120.00083947903591001520.35299488747665.38307912630422e-28id_labelavg_word_heat
8160.0002522999929283251.57687495580203e-050.3823100582712920.986405235966245arch:id_labelavg_word_heat
97480.03085198627191054.1245970951752e-05NANAResidualsavg_word_heat
1021613.50610388232806.753051941160.2379436969073450.788306711116591archwindow_width
118170411.41683986521301.42710498316.282641636826036.82783088355649e-08id_labelwindow_width
121616979.24772073771061.20298254610.3129911442275370.995562418188896arch:id_labelwindow_width
137482536109.553206493390.52079305681NANAResidualswindow_width
1421613.50610388232806.753051941160.2379436969073450.788306711116591archactual_window_size
158170411.41683986521301.42710498316.282641636826036.82783088355649e-08id_labelactual_window_size
161616979.24772073771061.20298254610.3129911442275370.995562418188896arch:id_labelactual_window_size
177482536109.553206493390.52079305681NANAResidualsactual_window_size
1821.52254068123901e+377.61270340619503e+360.5215565457196410.593811577987736archjitter_ns
1987.30317829009602e+379.12897286262003e+360.6254382048198330.756847741257894id_labeljitter_ns
20165.58738365313855e+373.49211478321159e+360.2392494789835330.999132455526952arch:id_labeljitter_ns
217481.0917899879824e+401.45961228339893e+37NANAResidualsjitter_ns
222866.306752055107433.15337602755420.08860232371343.37232501420112e-09archapic_delta
23849.91256688115196.239070860143980.2893529643664330.969548562401792id_labelapic_delta
241667.00672846838754.187920529274220.194225590130350.999773696322206arch:id_labelapic_delta
2566814403.513520940721.5621459894321NANAResidualsapic_delta
26225.690708888153912.84535444407699.55696633056636e+310archtime_trust
2785.07387313209545e-316.34234141511932e-320.4718713183442060.876359817140231id_labeltime_trust
28161.16329108600318e-307.2705692875199e-320.5409316355370580.925797539658654arch:id_labeltime_trust
297481.0053739640621e-281.34408283965522e-31NANAResidualstime_trust
30268.222587014790734.11129350739542.422513810442e+320archvariance
3182.3144085598068e-302.8930106997585e-312.054556615509760.0379772295589065id_labelvariance
32165.38210536360518e-303.36381585225324e-312.388912738269660.00171123807974008arch:id_labelvariance
337481.05325498800258e-281.40809490374677e-31NANAResidualsvariance
3420.04474344924233930.02237172462116960.5207112744842970.594313023015938archvm_call_depth_max
3580.213503744350950.02668796804386870.6211736506165050.760480755566665id_labelvm_call_depth_max
36160.1132324908956860.007077030680980390.1647208575940850.999925725708897arch:id_labelvm_call_depth_max
3774832.13690741228520.0429637799629482NANAResidualsvm_call_depth_max
3820.04989857516942490.02494928758471258.58095432714054e+300archhera_heat
3981.94158681720204e-322.42698352150255e-330.8347266301702730.57209115174177id_labelhera_heat
40164.58302618381118e-322.86439136488199e-330.9851668667352610.470943617456974arch:id_labelhera_heat
417482.17482419808937e-302.9075189814029e-33NANAResidualshera_heat
4220.01048928050083980.00524464025041991.27213848469651e+300archhermes_heat
4382.55082332251002e-323.18852915313752e-330.7734087471410970.626351128342942id_labelhermes_heat
44165.91995353135079e-323.69997095709425e-330.8974639292756330.572213841370675arch:id_labelhermes_heat
457483.08377661277181e-304.12269600637943e-33NANAResidualshermes_heat
4620.01463640829548240.007318204147741223.91854130116699e+290archartemis_heat
4781.19206804399657e-311.49008505499571e-320.7978678528740650.604600899927136id_labelartemis_heat
48162.78784139663676e-311.74240087289798e-320.9329706640866940.530626687104545arch:id_labelartemis_heat
497481.39695266217564e-291.86758377296209e-32NANAResidualsartemis_heat