prime-grokking.git - Prime Grokking — can minimal architectures grok next-prime? Pre-registered negative-class experiment (weight-tied RNN vs transformer).

Age	Commit message (Collapse)	Author
41 hours	refine Addendum 8: expand Arm D into D1 (learned), D2 (frozen), and D3 ↵	CaptainJack2491
	(dynamic noise)
41 hours	preregister Addendum 8: 4-arm token-space recurrence & decomposition test (E8)	CaptainJack2491

14 days	public release prep: full preregistration mirror (addenda 1-6), public ↵	Void Agent
	README, track per-phase summary CSVs
2026-08-16	phase3: task_mode (is_prime), train_frac, lr_decay flags + tests (41 green); ↵	Void Agent
	Addendum 5 locked; 11-job batch
2026-08-15	speedup: batched eval (46x, sieve-stub verified), run_sweep orchestrator ↵	Void Agent
	(2-way parallel, idempotent, summaries), E1 jobs; 36 tests
2026-08-14	eval: P1 diagnostic prediction-based (flagged set +209), classifier ↵	Void Agent
	regression suite (10 tests, stub ground truth); 34 tests green
2026-08-14	fix codex BLOCKERs: global fixed layout invariance, min_steps off-by-one, ↵	Void Agent
	integers EOS alias, rerun guard, eval prereg-literal codes + dual-checkpoint honesty; +7 regression tests
2026-08-14	rnn: fully-tied cell (read-in+compute+decode), lambda ramp, ACT regression ↵	Void Agent
	test; design: prior art + review
2026-08-14	implement Experiment 1: data pipeline, tied-RNN w/ ACT halting, transformer ↵	Void Agent
	baseline, train/eval/plot, 16 tests
2026-08-14	scaffold: README, LICENSE, design docs (spec + prereg from research repo ↵	Void Agent
	00c696d)