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RRLS: relations, rewrites & phase / Note

A proved self-optimization step for the RE SAT engine

Indexed reference05 Sept 2026 · saved

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01 / THE QUESTION

Editorial guide

Can the engine learn which solving route to try from its own execution records, and can that learner be provably simplified?

02 / WHAT THE RECORD SAYS

Source passage

The deployed learner returns the same policy about 2.15 times faster in the recorded run.

03 / LIMITS & OPEN POINTS

Source passage

This is a measured routing heuristic for the supplied training distribution.

04 / THE NEXT QUESTION

Source passage

Proof checking is now a major remaining cost.

05 / CHECKS IN THE RECORD

Source passage

The input to the second layer is the first layer's execution record: structural features, which route completed, and measured time. It is not an unexplained recursive invocation.

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Source & provenance

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Public
Dates declared in the record
Date: 2026-09-05. Revision 0.2 of the SAT structure laboratory.
Project basis
Editorial topic association
Origin
d0re research collection (snapshot 1 October 2026)
Original path
/The Theory of Reality/SELF_OPTIMIZATION_PROOF.md
Authorship basis
Collection attribution; original record retains its own credits
Title basis
From the source
Date
05 Sept 2026 · saved
Status basis
mechanical v0: not part of a detected version series
Size
15,072 bytes
Word count
2,175 words
SHA-256 of indexed source
3abfc6df0612323037de5c7038338c67935dc8b2b164f3ea73398aa04ac53e21

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A proved self-optimization step for the RE SAT engine
2026-09-05
d0re research record r-3abfc6df0612
https://www.d0re.com/library/records/r-3abfc6df0612.html
Authorship basis: Collection attribution; original record retains its own credits
Date basis: saved
Source SHA-256: 3abfc6df0612323037de5c7038338c67935dc8b2b164f3ea73398aa04ac53e21

Independent research by Anthony Michael Collado.
Original credits remain with each source.