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#15: bounded outcome dataset classification filters #53

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lost-rob0t commented 2026-09-01 04:16:17 +00:00 (Migrated from github.com)
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Issue #15. Canonical design: research/LLM-LOG-RESEARCH-051-outcome-dataset-classification.org.

RED/GREEN slice for restart-durable exact classification dimension/value/state selection over stored #12 assertions, with classifier assertion/rule/evidence provenance. Accepted RED: 241b7d10f9d6fbfa72713a423ce98eb2393684dd / run 33469398054. Implementation GREEN: e1f71731da231f700ce46272667454624db69b4d / run 33469561648. Evidence-only exact head fd6f50a265bab174eb97abfc3a18dd17f7c3696a / run 33469628408 is GREEN in all three required lanes.

No Tek9 or dotfiles mutation. SWI-Prolog remains inference owner; dataset export reads stored assertions through bounded Tek9 joins only.

Issue #15. Canonical design: `research/LLM-LOG-RESEARCH-051-outcome-dataset-classification.org`. RED/GREEN slice for restart-durable exact classification dimension/value/state selection over stored #12 assertions, with classifier assertion/rule/evidence provenance. Accepted RED: `241b7d10f9d6fbfa72713a423ce98eb2393684dd` / run 33469398054. Implementation GREEN: `e1f71731da231f700ce46272667454624db69b4d` / run 33469561648. Evidence-only exact head `fd6f50a265bab174eb97abfc3a18dd17f7c3696a` / run 33469628408 is GREEN in all three required lanes. No Tek9 or dotfiles mutation. SWI-Prolog remains inference owner; dataset export reads stored assertions through bounded Tek9 joins only.
nsaspy changed title from WIP: #15: bounded outcome dataset classification filters to #15: bounded outcome dataset classification filters 2026-09-04 14:35:46 +00:00

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