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peltier.io/Cargo.toml
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Claude b7297ad31f phase5: learned class-selection policy (SPEC §13) — rank classes by ledger evidence
crates/policy: reads the append-only ledger and ranks playbook classes by
the Wilson score lower bound of their machine-verified win rate — the same
'quote the lower bound' discipline the rest of the project uses. A class
that won 1/1 does not outrank one that won 8/10 (wider interval); untried
classes fall back to the cheapest-first prior; tried-and-failed classes
rank last. Advisory only — the gates still decide every verdict.

On the current 33-row ledger it ranks class 5 (algorithmic) first, then
class 3, then class 1 — the proven winners — with class 7 (untried) above
the evidence-against classes. Wins count only machine-sanitizer-verified
accepts (conservatively excluding pre-gate accepts and the overturned
comrak-010): the policy trusts the ledger's machine record, not narrative.
4 unit tests (Wilson monotonicity, small-sample penalty, ranking order).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EcKPWQ3MQD4NdEHwar96u2
2026-07-12 00:24:00 +00:00

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TOML

[workspace]
resolver = "2"
# Vendored target checkouts are their own workspaces, never part of ours.
exclude = ["targets"]
members = [
"crates/bench-runner",
"crates/diff-test",
"crates/ledger",
"crates/report",
"crates/verdict",
"crates/harnessd",
"crates/policy",
]
[workspace.package]
version = "0.1.0"
edition = "2021"
license = "GPL-3.0-or-later"
repository = "https://github.com/bdbrown4/peltier.io"
[workspace.dependencies]
anyhow = "1"
clap = { version = "4", features = ["derive"] }
serde = { version = "1", features = ["derive"] }
serde_json = "1"
sha2 = "0.10"
thiserror = "2"
toml = "0.8"
rusqlite = { version = "0.32", features = ["bundled"] }