mirror of
https://github.com/norandom/OpenUltraSAST.git
synced 2026-10-16 03:49:26 +00:00
Marius CiepluchandClaude Fable 5.1
3b8327ee51
The hunter gets an annotation model (named, versioned facts about the push) and statistical ablation decides which annotations stay. Labels from fix sites and ordinary pushes, training set apart from the held-out pilot, compiled replayable program, train-and-holdout acceptance rule, two stages reported separately, no thresholds set in this spec. Co-Authored-By: Claude Fable 5.1 <[email protected]>
23 lines
473 B
JSON
23 lines
473 B
JSON
{
|
|
"feature_name": "hunter-learning-loop",
|
|
"created_at": "2026-10-13T09:05:00+02:00",
|
|
"updated_at": "2026-10-13T09:20:00+02:00",
|
|
"language": "en",
|
|
"phase": "requirements-generated",
|
|
"approvals": {
|
|
"requirements": {
|
|
"generated": true,
|
|
"approved": false
|
|
},
|
|
"design": {
|
|
"generated": false,
|
|
"approved": false
|
|
},
|
|
"tasks": {
|
|
"generated": false,
|
|
"approved": false
|
|
}
|
|
},
|
|
"ready_for_implementation": false
|
|
}
|