WEBVTT

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This overview explains how experimental proposals can suggest
structure or routes while exact checks and fallback retain authority.

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A useful suggestion must pass both a correctness
gate and a separately charged performance decision.

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Use zero-first row and column order.

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A proposal supplies row values zero, one and column values zero, one.

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For this factor family, reconstruct a cell by and of its row and column values.

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The proposal is only advice until that reconstruction is checked.

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The first row combines row zero with both column values and gives two zeros.

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The second row combines one with zero and one, giving zero and one.

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All four reconstructed entries match the target and matrix.

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This complete tiny check establishes exactness for this proposal.

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Keep the factors fixed but change the target to exclusive-or.

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At A zero and B one, the proposal gives zero while the target gives one.

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Reject this candidate immediately.

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A direct exact evaluator remains available; rejecting advice does not mean refusing to

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solve the original task.

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solve the original task.

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CRSE is the repository's experimental program label.

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A learned or deterministic proposal suggests structure or a route.

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An exact check admits the result, and a fallback handles rejection.

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Promotion requires a separate performance decision.

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For a conceptual example, propose that A AND B factors across A and B.

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Enumerate the four cases and reconstruct the truth outputs from the factors.

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That witness passes.

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Propose the same factors for A exclusive-or B and they fail;
the exact fallback must still return the original function.

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A correct fallback does not erase the cost of the rejected proposal.

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The initial matrix, graph, fused and retrieval
studies did not establish a promoted learned path.

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Later exact algorithms, counting and
retained lifecycles broaden the program,

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but engineering completion, exactness, transfer
and production promotion remain separate statuses.

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Do not invent an expansion of the CRSE label.

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Work a second complete case with A 1, B 0.

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Keep this assignment fixed throughout the calculation.

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Each symbol retains the meaning already introduced; a new value does not

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create a new logical rule.

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The fixed and factors return zero at one zero.

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The exclusive-or target returns one.

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This second mismatch is consistent with the earlier failed mixed cell, but the first

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mismatch was already sufficient to reject the proposal.

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We do not need a majority of mismatches to establish non-equivalence.

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This case establishes a specific contrast.

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One mismatch suffices for rejection.

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Exact fallback retains the original task.

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Keep the input, intermediate values, and conclusion together when comparing

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it with the previous case.

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The calculated answer belongs to this complete assignment under the stated rule.

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The calculated answer belongs to this complete assignment under the stated rule.

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Charge proposal, verification, construction, and execution for a complete request.

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In this fictional ledger they cost three, two, one, and one units, totaling seven.

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The correctness check passed, but its time still belongs to the caller's cost.

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A four-unit exact control beats that seven-unit candidate.

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Exact advice has not produced a runtime win here.

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Different reuse or stage costs may change the comparison, but they

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require a declared matching task.

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Keep exactness and cost as independent gates.

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This illustrative calculation explains their relationship; it does not replace the

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retained experimental results or promote any historical recognition route.

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retained experimental results or promote any historical recognition route.

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Let exact checks admit results and fallback handle rejection.

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Charge failed advice, verification, fallback work, and delivery together.
