Task A of campaign phase 2: the lead-gain candidate set is now pure env, so the
live arms need no recompile.
- common_libs/guns/bitbrain_gun.nim: BB_GAINS_ENV (TR_BITBRAIN_GAINS); the
candidate list is parsed once at gun construction into a dynamic seq, so the
hit counts/hit rates are sized to it. Unset/unparsable -> the shipped
BB_CAND set [0,0.25,0.5,0.75,1.0] (byte-identical behaviour). Exactly ONE
candidate degenerates to a FIXED gain applied from the first shot (learning
bypassed), still gated to the long bands. parseGains clamps to [0,8],
de-dupes and sorts so the argmax tie rule is unchanged. The [bb] line now
prints the APPLIED gain AND the resulting angular shift, so a run's
correction is auditable from stdout.
- ModularBot_garage/src/env_report.nim: emit TR_BITBRAIN_GAINS (resolved
candidate set) and add BB_GAINS_ENV to the known-name list.
- tools/ab/arms_leadgain.txt: the 6-arm phase-2 sweep definition.
Task A — the gain region Phase 0 never covered (gain < 1). Extend the
prediction-quality ruler with gain 0.25/0.50/0.75 arms and a fixed causal
per-band arm. Full 70-run result: the hitProxy-argmax curve is
[1.00, 1.00, 1.00, 0.00, 0.00] — Pattern below 300 px, HeadOn above —
worth +0.13 pp at 300-450 and +2.16 pp at 450+ (0.0767 -> 0.0984). Lead
correlation is identical for every g>0 (Pearson is scale-invariant), so a
shrinking gain adds no lead information; and the least-squares optimum
[1,1,1,1,0.25,0.25] diverges from the hitProxy optimum because Pattern's
lead errors are bimodal.
Task B — rebuild guns/bitbrain_gun.nim as a lead-gain corrector:
aim = LOS + gain*(patternAim - LOS), gain learned online per range band by
ranking candidate gains on the hit-probability proxy (the observed lead
label via tmhObservedAt), gated to range >= 300 px. ADE+SBC output removed.
Offline (70 runs): Pattern below 300 px, +0.37 pp at 300-450, +1.90 pp at
450+ (hitProxy 0.0957 vs 0.0767), matching the fixed rule to within 0.27 pp
at 450+ and exceeding it at 300-450. ~0.0007 ms/tick marginal (old gun
~0.114 ms/tick). Default off; rack membership, env report and guard tests
(bitbrain 32, registration 13, rack 48, tm_pattern 20, env_report) unchanged
and green.
Ledger: docs/bitbrain_campaign.md Phase 1, including the three on-file
negatives and the causal-shippability note. No live claim.
Wire the verified common_libs/bitbrain ADE+SBC library into ModularBot as a
fine-grained angular corrector on top of Pattern's prediction, the shape the
offline gate test measured (argmax readout over N correction classes).
- common_libs/guns/bitbrain_gun.nim: new gun. Input = the existing TMHorizon
53 bits (tmhBaseBits + tmhLits); output = argmax class centre over
+-TR_BITBRAIN_RANGE, applied by rotating the Pattern point around the shooter
exactly as tmhApplyShift does. Label = the +h-tick fact from TmHorizonGun's
own observation ring (never across a round). Prequential (defer + resolve).
AD layer synthesised online for our binary inputs (center=0): heuristic
cold-start thresholds + running-histogram ~1% percentile init + the library's
adaptThresholds. Memory modes perRound (default, measured best) / retained /
decay (periodic partial SBC wipe). Lazy network build + local RNG, so the
default path builds nothing and consumes no global randomness.
- tm_horizon.nim: export tmhUpdateHistory and add tmhObservedAt (label seam).
- selector.nim: register BITBRAIN at rack id 16, default rmOff, in the SAME
commit as the id and the wiring (the aed579b admission bug is not repeated).
- ModularBot.nim: id 16 wired through predict/spawn/onResult/resets/colors,
arrays grown 16->17, spawn gated on rack admission, per-round/per-battle/
target reset hooks.
- env_report.nim: report every TR_BITBRAIN_* knob + add names to the known set.
- tests: update the rack length literals; new test_bitbrain_registration
(default-parity: off, lazy, global-RNG clean).
Guard counts unchanged: rack 48, tm_pattern_registration 20, vbullet_admit 12,
env_report 25, and the rest of the suite green.
SirStone