NextTerm-2 evaluation results (released bf16 weights; greedy decoding).
NextTerm-440M / NextTerm-47M / Naive2 rows are from the NextTerm-440M model card.

OEIS-Eval-Neo:
NextTerm-2-440M - 36.25%
NextTerm-2-50M - 31.56%
NextTerm-2-5M - 23.38%
NextTerm-440M - 34.43%
NextTerm-47M - 29.49%

Ryskina & Knight (2021):
NextTerm-2-440M - 66.67%
NextTerm-2-50M - 66.67%
NextTerm-2-5M - 42.11%
NextTerm-440M - 52.63%
NextTerm-47M - 70.18%

M1 Competition 111 MAPE (macro; canonical greedy; lower is better):
Naive2 - 17.7987
NextTerm-2-440M - 17.1105
NextTerm-2-50M - 18.3615
NextTerm-2-5M - 20.8527
NextTerm-440M - 17.6239
NextTerm-47M - 18.7621

M1 Competition 111 by frequency (macro MAPE):
Naive2 - monthly 17.3871 / quarterly 19.5958 / yearly 17.1314
NextTerm-2-440M - monthly 18.5442 / quarterly 16.6647 / yearly 12.7485
NextTerm-2-50M - monthly 20.7720 / quarterly 16.6578 / yearly 12.1251
NextTerm-2-5M - monthly 22.3369 / quarterly 23.4687 / yearly 12.7977
NextTerm-440M - monthly 18.3407 / quarterly 19.0475 / yearly 13.5498
NextTerm-47M - monthly 21.2719 / quarterly 16.0270 / yearly 13.3741

Polynomial continuation evals (accuracy; 200 samples per k):
Arithmetic (k=2-25): NextTerm-2-440M - 96.15%; NextTerm-2-50M - 96.31%; NextTerm-2-5M - 78.21%; NextTerm-440M - 94.38%; NextTerm-47M - 94.15%
Quadratic (k=3-25): NextTerm-2-440M - 94.39%; NextTerm-2-50M - 84.11%; NextTerm-2-5M - 23.87%; NextTerm-440M - 86.39%; NextTerm-47M - 81.07%
Cubic (k=4-25): NextTerm-2-440M - 88.70%; NextTerm-2-50M - 63.95%; NextTerm-2-5M - 1.89%; NextTerm-440M - 75.20%; NextTerm-47M - 37.43%
Quartic (k=5-25): NextTerm-2-440M - 83.74%; NextTerm-2-50M - 47.86%; NextTerm-2-5M - 0.50%; NextTerm-440M - 67.83%; NextTerm-47M - 15.17%