Recursive-Play / improvement-pathway.svg
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<svg xmlns="http://www.w3.org/2000/svg" width="936" height="510" viewBox="0 0 936 510" role="img" aria-label="Observed task construction and proposed learning loop"><rect width="936" height="510" fill="#ffffff"/><defs><marker id="arrow" markerWidth="9" markerHeight="8" refX="8" refY="4" orient="auto"><path d="M0 0L8 4L0 8Z" fill="#668092"/></marker></defs>
<text x="223" y="32" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="20" font-weight="700" fill="#17304A">OBSERVED: TASK BANK</text>
<text x="713" y="32" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="20" font-weight="700" fill="#147D86">PROPOSED: LEARNING LOOP</text>
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<text x="223" y="89" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="700" fill="#17304A">1 Generate mechanics</text>
<text x="223" y="124" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">AI agents construct the environments.</text>
<text x="223" y="152" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">Each task has six repeatable levels.</text>
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<text x="223" y="225" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="700" fill="#17304A">2 Verify the challenge</text>
<text x="223" y="260" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">A rule verifier checks each witness.</text>
<text x="223" y="288" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">Players cannot see the rules or witnesses.</text>
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<text x="223" y="361" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="700" fill="#17304A">3 Measure blind solving</text>
<text x="223" y="396" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">Matched trials allow 512 actions and 720 s.</text>
<text x="223" y="424" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">Results retain every completion depth.</text>
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<text x="713" y="89" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="700" fill="#147D86">4 Select candidate learning cases</text>
<text x="713" y="124" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">Independent review selects unfinished trials.</text>
<text x="713" y="152" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">Engineering faults are handled separately.</text>
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<text x="713" y="225" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="700" fill="#147D86">5 Build a candidate solver update</text>
<text x="713" y="260" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">Experts supply data for a training trial.</text>
<text x="713" y="288" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">The hidden test set is frozen before training.</text>
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<text x="713" y="361" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="700" fill="#147D86">6 Test, promote or retain</text>
<text x="713" y="396" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">Held-out tests check gains and anchor cases.</text>
<text x="713" y="424" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#17304A">Versioned updates are rolled back if they fail.</text>
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<text x="468" y="494" text-anchor="middle" font-family="Arial, Helvetica, sans-serif" font-size="18" font-weight="400" fill="#5D7280">The learning loop is proposed, and no training gain has been measured.</text>
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