Consequence intelligence
State extraction, route generation, visible and hidden effect prediction, delayed-risk estimation, evidence prioritization and residual learning where enabled.
VTWM is the consequence engine inside SupraOS. It starts from immutable Company State, searches permitted company futures, predicts immediate and delayed effects, selects the route that can still reach the outcome and learns from the residual between forecast and observed reality.
| Prediction head | Question |
|---|---|
| Visible state change | Which represented records, fields, statuses and obligations should change immediately? |
| Hidden effects | Which side effects are not explicit in the requested action but follow from the current state? |
| Forbidden effects | Which predicted changes violate policy, authority, customer commitment or action scope? |
| Delayed risk | Which obligations, reversals, customer conditions or commercial failures can appear later? |
| Missing evidence | Which source or observation would change the decision materially? |
| Abstention / review | When is uncertainty too high to release the move without human review? |
| No-action future | What company state is created by waiting or doing nothing? |
State extraction, route generation, visible and hidden effect prediction, delayed-risk estimation, evidence prioritization and residual learning where enabled.
Policy, authority, state fingerprints, payload binding, limits, expiry, connector identity, destination readback, receipt creation, budget and kill-switch enforcement.
VTWM cannot create authority. A high model score cannot widen a customer permission, release a forbidden move or certify its own success.
Immutable decision-time state from the Company Twin.
Candidate routes permitted by policy and current authority.
Complete selected route, conditions, owners and finish line.
Exact executable move bound to state, payload and authority.
Strongest approved executor performs the work.
Independent destination and delayed-condition observation.
Predicted versus observed difference retained.
The next Future Search starts with the verified result.
| Frozen main-test metric | Exact rules | Frontier A + monitor | VTWM |
|---|---|---|---|
| Visible-state micro-F1 | 94.44% | 95.62% | 94.61% |
| Hidden-effect recall | 0.00% | 61.94% | 84.13% |
| Delayed-risk AUROC | 83.45% | 84.96% | 89.57% |
| Delayed-risk AUPRC | 77.12% | 76.77% | 83.96% |
| Delayed-risk calibration error | 18.13% | 9.96% | 4.80% |
| Silent policy-violation rate | 28.00% | 21.76% | 1.31% |
| Human reviews / 1,000 | 110 | 426 | 323 |
Visible state is table stakes. Consequence is the gap. VTWM leads the consequential measures: hidden-effect recall, delayed-risk discrimination, calibration and silent-policy-failure prevention. The frozen frontier baseline is disclosed publicly under the neutral alias Frontier A + monitor; identity-bearing model IDs, prompts, monitor configuration, scored outputs and hashes remain in a separate technical evidence package.
| Policy-invisible set | VTWM | Frontier A + monitor |
|---|---|---|
| Cases | 2,400 | 2,400 |
| Policy violations | 648 | 648 |
| Violations left silent | 2 | 167 |
| Hidden effects found | 356 of 480 | 257 of 480 |
| Delayed-risk AUPRC | 86.81% | 76.46% |
| Reviews | 1,071 | 1,389 |
fewer silent policy misses
more hidden effects found
lower review load
points delayed-risk AUPRC
| New surface | VTWM state micro-F1 | VTWM hidden recall | VTWM delayed AUPRC | Frontier hidden recall |
|---|---|---|---|---|
| Workflow templates | 94.21% | 84.04% | 86.09% | 61.50% |
| Enterprise environment | 94.15% | 86.98% | 85.31% | 61.24% |
| Process family / world | 90.42% | 61.78% | 97.15% | 51.95% |
| Policy family | 94.28% | 84.10% | 85.64% | 55.35% |
State representation, route generation, consequence heads, temporal belief, deterministic enforcement, observation and transition memory.
Open →Tasks, corpus, splits, baseline families, class risks, headline results, ablations, failure cases and public sample records.
Open →Safe input projection, target separation, leakage controls, confidence intervals, repeated-run controls, comparator governance and reproducibility path.
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