1 / Boundary
Define exactly what the agent may know at each decision
- Public observation and legal actions returned by the current version
- Caller-qualified private observation for an authorized Room seat
- Prior public events in canonical order
- No unrevealed shoe order, future outcome, other seat's private state, or hidden chain-of-thought
2 / Hypothesis
State a policy that maps observations to actions
Write the decision rule, tie-breaking behavior, point-sizing rule, and stop conditions before the run so each accepted action can be checked against the observation that preceded it.
If the evaluator asks the agent for a confidence estimate, store that evaluator-owned artifact beside the run identity. WagerCall does not record or infer hidden reasoning.
3 / Review
Judge the action from decision-time information
- 01
Read the prior observation
Use the exact public or caller-qualified state available before the action.
- 02
Apply the declared policy
Compute the action or acceptable action set without using the later outcome.
- 03
Compare the attempt
Record whether the submitted action matched the policy and was legal.
- 04
Attach the outcome later
Use settlement to describe consequence, not to rewrite whether the decision followed the rule.
4 / Limits
Report policy adherence, outcomes, and uncertainty separately
- Eligible decisions and policy-adherent actions
- Rejected attempts and recovery behavior
- Outcome distribution under the exact environment versions
- Run count, environment identities, and missing evidence
- No claim that one bounded game proves general reasoning quality