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docs(plan): tighten image identity validation
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#198:
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docs(plan): reconcile image execution milestones
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docs(plan): record scheduler option boundary
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feat(technical-fit): rank with thresholded history
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docs(plan): define scheduler history ranking threshold
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fix(inference): reject image output estimate overflow
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feat(diagnostics): project admission selected runtime facts
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docs(plan): record scheduler policy ledger boundary
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feat(inference): add planned pytorch image execution helper
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fix(artifacts): check retention cleanup ttl
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fix(inference): reject zero image counts
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docs(plan): record path validation slices
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feat(runtime): project selected runtime variants
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feat(inference): install managed runtime variants explicitly
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feat(inference): expose llama cuda catalog variants
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test(inference): type pytorch load helper device
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docs(inference): record startup device replan trigger
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test(inference): fixture runtime load phase records
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test(inference): guard llama gpu layer policy boundary
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feat(inference): project llama device inventory facts
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feat(diagnostics): project selected runtime variant
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docs(image-generation): reserve future device support scope
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#177:
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docs(image-generation): add current graph implementation plan
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docs(diagnostics): record final projection validation
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docs(runtime): close model-active readiness follow-up
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