# RCIG K3STOCH Stochastic Budget Admission Kernel v0.41

K3STOCH prices theorem flexibility under uncertain future proof budgets.

Reference model:

```text
stage 1 budget: 504

stage 2:
  low  = 504
  high = 816
  P(high) = 1/2
```

Nominal optimal first state:

```text
macro_alpha_both_v0.1
expected value = 340
```

Immediate static trap:

```text
P + A + PA
value = 336
```

Break-even probability:

```text
5/11
```

Perfect-information value:

```text
360
EVPI = 20
```

Under probability ambiguity `[0.4, 0.6]`, robust minimax reverses to the trap policy with worst-case value `336`.

Current suite: 13 / 13.

## Windows / PowerShell

```powershell
py -m pip install jsonschema
py .\rcig_k3stoch_budget_admission_kernel_v0_41.py .\samples\two_stage_budget_option.json --schema .\RCIG_CDIR_v0.41.schema.json
py .\test_rcig_k3stoch_budget_admission_kernel_v0_41.py
```