docs(quartz): record live-negentropy-index A/B results — shipped

Two relayBench runs (50k corpus, both geode variants side by side, then
order-reversed): identical-set reconcile 56/57 ms with the index vs
110/130 ms without in both orders (~2.2x, the post-write NEG-OPEN the
old cache always missed); ingest and first-ever reconcile deltas flip
with relay order, i.e. run-order noise — no regression. Also records
the run-order-bias protocol note for future A/Bs.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TtDNpayEYvJH7QuPswND3A
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# Incremental live negentropy storage
**Status: planned** — backlog item 3 of the relay performance campaign
(PR #3466 follow-up).
**Status: shipped** — backlog item 3 of the relay performance campaign
(PR #3466 follow-up). All four milestones landed on this branch.
**Measured results.** Micro (LiveNegentropyBenchmark, 50k events,
in-container): scan+seal cold path 80100 ms per open; index post-write
open 916 ms (~510×); first open ~70 ms (pays the one-time rebuild).
relayBench A/B (both variants in ONE run — geode with index vs geode
with `[negentropy].live_index = false` — 50k corpus, then repeated with
the relay order reversed to control for run-order bias):
- **identical-set reconcile: 56/57 ms with the index vs 110/130 ms
without, in both orders — the real ~2.2× win.** This phase runs
after the delta transfer wrote events, so the old single-slot cache
always misses — the exact gap the index closes.
- initial (first-ever) reconcile and ingest throughput: whichever
relay ran first won/lost respectively in BOTH runs — pure run-order
effect, i.e. no ingest regression and (as designed) no win on the
very first open, which pays the lazy rebuild.
Measurement note for future A/Bs: putting both variants in one
relayBench run controls container noise better than alternating runs,
but per-phase run-order bias is real (~100 ms on initial reconcile,
~10% on ingest) — always repeat with the order reversed.
## Problem