yogsoth-ai Validity Envelope Mapping
Map the conditions under which a method remains valid.
Budget
| Base SOP | Target | ±10% Range |
|---|---|---|
| web-search | 30 | 27–33 |
| web-research | 10 | 9–11 |
| paper-overview | 40 | 36–44 |
| paper-search | 30 | 27–33 |
| paper-research | 15 | 13–17 |
State Ledger
<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 30 | ? |
| web-research | ? | 10 | ? |
| paper-overview | ? | 40 | ? |
| paper-search | ? | 30 | ? |
| paper-research | ? | 15 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>
Available Tactics
- systematic-perturbation
Available SOPs
Import: web-search, web-research, paper-overview, paper-search, paper-research Subagent: variation-axis-definition, controlled-perturbation, validity-envelope-construction
Execution Guidance
Define orthogonal variation axes (data size, noise level, distribution type, etc.), systematically perturb along each axis, measure performance degradation, construct multi-dimensional validity envelope.
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| systematic-perturbation | Multi-axis systematic perturbation — define variation axes, perturb along each, measure degradation, construct validity envelope. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| controlled-perturbation | Systematically vary parameters along defined axes, recording performance at each point to identify degradation thresholds. |
| deep-insight-validity-envelope-construction | Combine multi-axis perturbation data into a multi-dimensional validity description with boundary conditions and interaction effects. |
| variation-axis-definition | Identify orthogonal axes along which a method's validity might vary. Ensures axes are independent, measurable, and span the relevant parameter space. |