LAB / WMSI-EXP-009
Recursive Observer Stack.
Does observer-on-observer recursion converge toward accuracy or amplify error?
01 / QUESTION
External Introspection and Model Self-Observation
Does observer-on-observer recursion converge toward accuracy or amplify error?
This is a protocol scaffold, not a completed experiment or a frozen execution plan. No measured effect or research conclusion is claimed here.
Hypothesis to test
The manipulation described below produces a reproducible, condition-specific change in the measured system behavior or internal state that is not explained by the ordinary controls.
Ordinary competing explanation
The observed pattern is explained by ordinary sampling variation, prompt/representation artifacts, surface lexical cues, evaluator bias, or the known product/runtime mechanics captured by the controls.
02 / PLANNED DESIGN
How we intend to test it
Stack 1–4 observer layers that critique prior diagnoses before parent receives a final report.
Controls
Flat ensemble baseline; majority vote; identical compute budget.
What we would measure
Accuracy, calibration, error correlation, latency, cost.
Access and instruments
Ordinary software or API access. This describes access requirements, not verified readiness on our Spark.
Agent harness; evaluator; graph logger.
Before a full run
Feasibility=NOW; priority=P1. Before confirmatory execution, run a small pilot to estimate variance/cost, freeze the scoring rules, and assign a run-count target.
Model revisions, final prompts, sample sizes, cost limits, and scoring rules must be settled through the pilot and protocol-freeze process.
03 / INTERPRETATION
What could fool us
Observer seeing hidden answer cues, evaluator leakage, family-specific style cues.
What would weaken the idea
If extra layers monotonically worsen or add no signal beyond ensemble baselines, recursion is not useful.
Observation, inference, speculation, unknowns, and apparatus errors will be labeled separately. One striking transcript cannot establish a general effect.
04 / RECORD
Evidence we plan to preserve
Parent trace, observer input, predictions, event timestamps, outcomes, confidence.
Planned visual evidence
Accuracy-vs-depth curve; error propagation graph.
No research runs or raw datasets are published for this experiment. The September 26, 2026 registry and protocol compendium (version 1.0) are the sources for this planning record.
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