Judge walkthrough / validation evidence

Follow the graph’s
training decision.

FalkorDB connects each failed test to the checkpoint, its training origin and the experiment that followed. Follow the measured attempts below, then try a new run yourself.

Earlier study. The newer checkpoint passed fresh confirmation. See the current result →

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  1. Loading the recorded lineage…

Recorded attempts / seed fixed before training

Every rejection stays in the record.

Each candidate was saved, reloaded and evaluated on all four validation suites. Training completion and promotion are separate decisions.

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Live query / FalkorDB

Why this training origin?

The planner ranks compatible checkpoints with complete validation by failed-suite count, worst deficit, then total deficit. Failures determine which untried training intervention to attempt. These priorities are authored rules; the evidence comes from the graph.

Ready to query the running graph.

Exact parameters, records and query receipt

What the verdict means

A simulator result, with limits.

A validation pass allows one held-out evaluation. It does not establish safety on a real robot or prove that graph selection beats other methods. Final-test results are excluded from the planning graph.

Read the diagnosis and preregistered protocol · Recorded evidence index