LisaMegaWatts/sshfighter-17-head-router-delay-replication-v1

SSH Fighter 17-Head Frozen-Expert Router v1 — Delay Stress

Seventeen character-specific heads route among nine immutable Agent Gym policies. The package contains every three-seed checkpoint, averaged inference weights, the grouped training tensor cache, and fresh-seed exact-engine evaluation rows. This package is the predeclared six-scenario role-delay stress matrix.

Fresh exact-engine evaluation

condition	points rate	wins	losses	draws	switches/match
fixed-jumper	0.5704	51709	38533	3394	0.00
static	0.5936	53988	36454	3194	0.00
linear	0.6124	56732	35684	1220	138.14
chebyshev	0.6074	56190	36084	1362	123.66

• Matches: 374,544
• Engine snapshot: f478c1320f86f428c882e391c11e97ca4cf7b47b
• Technical failures: 0
• Evaluation seeds: [1608202801, 1608202819, 1608202847]
• Passive samples: 8,946,534 with all nine proposal codes, literal HP-kick oscillator state, disagreement, agreement-CUSUM, and momentum labels. These signals have no control authority.

Training scope

• Train/dev/retrospective-holdout samples: {'dev': 117504, 'holdout': 117504, 'train': 352512}
• Model seeds: [42, 123, 456]
• Experts remain frozen; only routing parameters are learned.
• The exported ensembles carry Python golden logits which the TypeScript evaluator must reproduce before executing a match.

Limitations

Training labels are retrospective contextual-bandit observations, not full counterfactual rewards for all experts. Fresh evaluation uses known synthetic opponent families and direct exact-engine inputs—not SSH transport or human adaptation. This is the pre-balance-intervention f478c13 stratum and must not be pooled with later mechanics fingerprints.