Date: 2026-08-29 Issue: #13
The project owner asked multiple agents to work professionally in parallel on distinct open issues, solve what can be supported, and integrate through the repository’s pull-request safeguards. This workstream was assigned issue #13.
Before changing code, inspect live assignees, pull requests, branches, and the current main branch. Claim the issue publicly only if no other active owner is visible. Audit the merged R1/R2/R3/R4 and E-series artifacts against issue #13, then implement the highest-value bounded missing experiment or synthesis.
The work must not describe synthetic probabilities as real coding-agent evidence. Issue #13 may close only if every minimum configuration, deliverable, metric, and success criterion has actual support.
R1 already provided a one-size diversity experiment, a help/hurt assumption sweep, and a conservative adapter for future real ResultManifest and VerificationResult corpora. R2, R3, R4, and the E-series provide separate scheduling, orchestration, routing, and verification evidence.
The missing bounded layer was an explicit R1 curve over N with marginal success, resource deltas, repeated difficulty assumptions, and a durable audit of which issue #13 arms remain unmeasured. The adjacent experiments cannot honestly be combined as if they shared one held-out coding-task corpus.
Add a deterministic synthetic scaling runner over N = 1, 2, 5, and 10 for homogeneous, structurally diverse, and diverse-verifier families. Preserve raw seed trials, equal-attempt comparisons, uncertainty intervals, negative or saturated returns, cost deltas, and an explicit evidence-coverage ledger.
Publish a frozen 10-seed reference result and reproducibility command. Keep the evidence label at synthetic mechanism and use Advances #13 in the pull request.
The contribution makes the next work legible: contributors can see exactly which experiment cells exist, which are synthetic proxies, and which real observations are still needed. It avoids converting a large collection of unrelated green experiments into a false scaling-law claim.