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3c2daf50d129229a6e5134150b00c2dd0ee75001
LithosAnanake/experiments/std79-doe/report-20260912/tables/cell_summary.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

326 lines
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"amd64","01",29,0.931034482758621,0.257880714777564,27.6982989946272,"vm_call_depth_max"
"amd64","02",29,0.931034482758621,0.257880714777564,27.6982989946272,"vm_call_depth_max"
"amd64","03",29,0.96551724137931,0.185695338177052,19.2327314540518,"vm_call_depth_max"
"amd64","04",32,0.96875,0.176776695296637,18.2479169338464,"vm_call_depth_max"
"amd64","05",32,0.96875,0.176776695296637,18.2479169338464,"vm_call_depth_max"
"amd64","06",34,0.970588235294118,0.171498585142509,17.6695511965009,"vm_call_depth_max"
"aarch64","zuse",23,1,0,0,"vm_call_depth_max"
"aarch64","rajames",25,0.96,0.2,20.8333333333333,"vm_call_depth_max"
"aarch64","00",26,0.961538461538462,0.196116135138184,20.3960780543711,"vm_call_depth_max"
"aarch64","01",27,0.962962962962963,0.192450089729875,19.9852016257947,"vm_call_depth_max"
"aarch64","02",28,0.964285714285714,0.188982236504614,19.5981578597377,"vm_call_depth_max"
"aarch64","03",29,0.96551724137931,0.185695338177052,19.2327314540518,"vm_call_depth_max"
"aarch64","04",33,0.96969696969697,0.174077655955698,17.9517582704313,"vm_call_depth_max"
"aarch64","05",33,0.939393939393939,0.24230584229878,25.7938477285798,"vm_call_depth_max"
"aarch64","06",32,0.96875,0.176776695296637,18.2479169338464,"vm_call_depth_max"
"riscv64","zuse",23,1,0,0,"vm_call_depth_max"
"riscv64","rajames",26,0.923076923076923,0.271746488194703,29.4392028877595,"vm_call_depth_max"
"riscv64","00",26,0.923076923076923,0.271746488194703,29.4392028877595,"vm_call_depth_max"
"riscv64","01",19,0.947368421052632,0.229415733870562,24.2161052418926,"vm_call_depth_max"
"riscv64","02",29,0.931034482758621,0.257880714777564,27.6982989946272,"vm_call_depth_max"
"riscv64","03",30,0.933333333333333,0.253708131702462,27.1830141109781,"vm_call_depth_max"
"riscv64","04",43,0.930232558139535,0.257769631113234,27.7102353446726,"vm_call_depth_max"
"riscv64","05",31,0.967741935483871,0.179605302026775,18.5592145427667,"vm_call_depth_max"
"riscv64","06",34,0.970588235294118,0.171498585142509,17.6695511965009,"vm_call_depth_max"
"amd64","zuse",22,0.639129638671875,0,0,"hera_heat"
"amd64","rajames",24,0.639129638671875,0,0,"hera_heat"
"amd64","00",27,0.639129638671875,0,0,"hera_heat"
"amd64","01",29,0.639129638671875,0,0,"hera_heat"
"amd64","02",29,0.639129638671875,0,0,"hera_heat"
"amd64","03",29,0.639129638671875,0,0,"hera_heat"
"amd64","04",32,0.639129638671875,0,0,"hera_heat"
"amd64","05",32,0.639129638671875,0,0,"hera_heat"
"amd64","06",34,0.639129638671875,0,0,"hera_heat"
"aarch64","zuse",23,0.648239135742188,0,0,"hera_heat"
"aarch64","rajames",25,0.648239135742188,0,0,"hera_heat"
"aarch64","00",26,0.648239135742188,0,0,"hera_heat"
"aarch64","01",27,0.648239135742188,0,0,"hera_heat"
"aarch64","02",28,0.648239135742188,0,0,"hera_heat"
"aarch64","03",29,0.648239135742188,0,0,"hera_heat"
"aarch64","04",33,0.648239135742188,0,0,"hera_heat"
"aarch64","05",33,0.648239135742188,0,0,"hera_heat"
"aarch64","06",32,0.648239135742188,0,0,"hera_heat"
"riscv64","zuse",23,0.658721923828125,0,0,"hera_heat"
"riscv64","rajames",26,0.658721923828125,0,0,"hera_heat"
"riscv64","00",26,0.658721923828125,0,0,"hera_heat"
"riscv64","01",19,0.658721923828125,0,0,"hera_heat"
"riscv64","02",29,0.658721923828125,0,0,"hera_heat"
"riscv64","03",30,0.658721923828125,0,0,"hera_heat"
"riscv64","04",43,0.658721923828125,0,0,"hera_heat"
"riscv64","05",31,0.658721923828125,0,0,"hera_heat"
"riscv64","06",34,0.658721923828125,0,0,"hera_heat"
"amd64","zuse",22,0.175704956054688,0,0,"hermes_heat"
"amd64","rajames",24,0.175704956054688,0,0,"hermes_heat"
"amd64","00",27,0.175704956054688,0,0,"hermes_heat"
"amd64","01",29,0.175704956054688,0,0,"hermes_heat"
"amd64","02",29,0.175704956054688,0,0,"hermes_heat"
"amd64","03",29,0.175704956054688,0,0,"hermes_heat"
"amd64","04",32,0.175704956054688,0,0,"hermes_heat"
"amd64","05",32,0.175704956054688,0,0,"hermes_heat"
"amd64","06",34,0.175704956054688,0,0,"hermes_heat"
"aarch64","zuse",23,0.171417236328125,0,0,"hermes_heat"
"aarch64","rajames",25,0.171417236328125,0,0,"hermes_heat"
"aarch64","00",26,0.171417236328125,0,0,"hermes_heat"
"aarch64","01",27,0.171417236328125,0,0,"hermes_heat"
"aarch64","02",28,0.171417236328125,0,0,"hermes_heat"
"aarch64","03",29,0.171417236328125,0,0,"hermes_heat"
"aarch64","04",33,0.171417236328125,0,0,"hermes_heat"
"aarch64","05",33,0.171417236328125,0,0,"hermes_heat"
"aarch64","06",32,0.171417236328125,0,0,"hermes_heat"
"riscv64","zuse",23,0.166717529296875,0,0,"hermes_heat"
"riscv64","rajames",26,0.166717529296875,0,0,"hermes_heat"
"riscv64","00",26,0.166717529296875,0,0,"hermes_heat"
"riscv64","01",19,0.166717529296875,0,0,"hermes_heat"
"riscv64","02",29,0.166717529296875,0,0,"hermes_heat"
"riscv64","03",30,0.166717529296875,0,0,"hermes_heat"
"riscv64","04",43,0.166717529296875,0,0,"hermes_heat"
"riscv64","05",31,0.166717529296875,0,0,"hermes_heat"
"riscv64","06",34,0.166717529296875,0,0,"hermes_heat"
"amd64","zuse",22,0.185165405273438,0,0,"artemis_heat"
"amd64","rajames",24,0.185165405273438,0,0,"artemis_heat"
"amd64","00",27,0.185165405273438,0,0,"artemis_heat"
"amd64","01",29,0.185165405273438,0,0,"artemis_heat"
"amd64","02",29,0.185165405273438,0,0,"artemis_heat"
"amd64","03",29,0.185165405273438,0,0,"artemis_heat"
"amd64","04",32,0.185165405273438,0,0,"artemis_heat"
"amd64","05",32,0.185165405273438,0,0,"artemis_heat"
"amd64","06",34,0.185165405273438,0,0,"artemis_heat"
"aarch64","zuse",23,0.180343627929688,0,0,"artemis_heat"
"aarch64","rajames",25,0.180343627929688,0,0,"artemis_heat"
"aarch64","00",26,0.180343627929688,0,0,"artemis_heat"
"aarch64","01",27,0.180343627929688,0,0,"artemis_heat"
"aarch64","02",28,0.180343627929688,0,0,"artemis_heat"
"aarch64","03",29,0.180343627929688,0,0,"artemis_heat"
"aarch64","04",33,0.180343627929688,0,0,"artemis_heat"
"aarch64","05",33,0.180343627929688,0,0,"artemis_heat"
"aarch64","06",32,0.180343627929688,0,0,"artemis_heat"
"riscv64","zuse",23,0.174560546875,0,0,"artemis_heat"
"riscv64","rajames",26,0.174560546875,0,0,"artemis_heat"
"riscv64","00",26,0.174560546875,0,0,"artemis_heat"
"riscv64","01",19,0.174560546875,0,0,"artemis_heat"
"riscv64","02",29,0.174560546875,0,0,"artemis_heat"
"riscv64","03",30,0.174560546875,0,0,"artemis_heat"
"riscv64","04",43,0.174560546875,0,0,"artemis_heat"
"riscv64","05",31,0.174560546875,0,0,"artemis_heat"
"riscv64","06",34,0.174560546875,0,0,"artemis_heat"
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