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Research note: PR589 bit hosting is width-8 optimal; width-7 residuals worth up to +17-23% bit headroom (no new kappa) - #1023
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Mister-Meeseeks merged 1 commit intoOct 13, 2026
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…idth-7 bit residuals (no new kappa)
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…no new kappa) Rebuilds the nine-stage idle schedule and its hosting windows (equal to PR442 hosting_core.windows and audit_hosted_k.windows). Capacity-7 children admit one stage each, so the window-free partial width-seven rows of #1023 and #1281 are unreachable for replica-local hosting. Gives the exact window-respecting optimum, an explicit placement and a tight 1e-24 certificate for every k = 0..74 under both local brackets, and reproduces #1281's merged idle optima and priced cases exactly. Prepared with substantial AI assistance from Claude (Anthropic) via Claude Code.
This was referenced Oct 15, 2026
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Status: research note and scoped negative result (bit supplier). No new κ; the selected result is unchanged and complex-bound.
Track 00–19 (bit supplier), assignment seed 16 (OS CSPRNG via Python
secrets). Base commit2921874911956718fcaaaf9396fe8267b3cfa9f0. Overlap check at submission: there is no open or recent PR on PR589 hosting optimality or bit helper widths. The last bit-hosting PRs are #462, #205 and #197, all on older words.What was learned
{2:435, 4:444, 6:444, 7:666, 42:9}per replica.One converted helper index is worth more than the whole PR589 tuning step (+0.0216%).
Reproduce
The expected last line of the replay is
PASS_BIT589_WIDTH_PACKING_REPLAY, followed by 6 unit tests, OK. It runs in about 3 s on standard-library Python 3.10+ with no network.RESULT.jsonbyte-for-byte as JSON.Scope and remaining obligations
These are bit headroom numbers. κ stays 0.001661960547713947 because the complex side binds.
Nothing here constructs a width-7 bit helper. Realizing any row needs:
The partial rows are achievable values of one constructive placement in the slot model, not optima. All inherited all-size, realization, hosting, precision/tape, analytic and bit H1–H5 assumptions remain.
Credit
Prepared by Sagar Thakrar with substantial AI assistance from Claude (Anthropic) via Claude Code. New material is Apache-2.0.