Research deep dive

Phase One evidence program

Can coherence make recorded multimodal manipulation data more useful for offline learning, and does the effect survive beyond the first model?

DESIGNED AND DOCUMENTED

Last updated · August 23, 2026

01 · Simple explanation

The question in plain language.

Phase One is the current evidence spine: compatibility first, then curation, measurement, and required portability before a core claim can be supported.

02 · Visual walkthrough

Follow the mechanism.

FIG. 01Phase One evidence program
Phase One evidence program. Candidate records pass a compatibility gate, then action-level and sensor-level evidence are tested in matched training conditions.

O0, O1, O3, and O4A form the core proof. O2 can strengthen the case, while O4B remains separately gated.

03 · Full narrative

What the idea means and what it does not.

The program begins by asking whether an experiment can honestly be run with the available data, permissions, labels, timing, actions, outcomes, and environment. Only compatible protocols move forward.

Curation then tests whether some complete demonstrations, windows, or trajectory segments have greater learning value. The measurement layer defines admissible metrics, matched comparisons, provenance, and stopping rules before results are interpreted.

The core selection effect must survive in a second compatible architecture. An OpenVLA path proceeds only if observations, actions, embodiment, tactile inputs, evaluation, licensing, and compute all pass a separate compatibility gate.

04 · Technical detail

A falsifiable path forward.

Experiment design

Run matched offline-learning comparisons using identical models, budgets, and seeds while changing only the curated data condition.

Baselines

Unfiltered data, random matched subsets, heuristic filters, and a second compatible architecture for portability.

Metrics

Task-level outcome, data efficiency, robustness, calibration, uncertainty, and reproducibility records defined before confirmation.

Dependencies

Dataset permissions and schema, aligned timestamps, actions and outcomes, compatible policy code, and sealed confirmation data.

Continue exploring

Place this idea in the larger program.