Weight Space Programming - Held-out - SciBench: leaderboard

Weight Space Programming v1 Table2 held-out test percentages, Qwen3.5-0.8B and Qwen3.5-9B base versus exact task-specific edited candidates. Starred edits were discarded and remain explicitly labeled, never substituted for the final original checkpoint. Thinking enabled, T0.6, top_p0.95, top_k20, presence penalty1.5, 32768 output cap, seed0. Source Table4 fixes test populations 500/198/2450/12032/271/580/65 chains (288 steps) by named task. Do not admit development scores, gains or search traces as capability outcomes.

Metric: Accuracy / task score (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 4 models tracked.

Top models

#ModelScoreOverall rank
1Qwen3.5-9B (WSP Run: task=SciBench;candidate=edited-retained;thinking=enabled;temperature=0.6;top_p=0.95;top_k=20;max_new_tokens=32768;seed=0)75.49
2Qwen3.5-9B (WSP Run: task=SciBench;candidate=base;thinking=enabled;temperature=0.6;top_p=0.95;top_k=20;max_new_tokens=32768;seed=0)72.46
3Qwen3.5-0.8B (WSP Run: task=SciBench;candidate=edited-retained;thinking=enabled;temperature=0.6;top_p=0.95;top_k=20;max_new_tokens=32768;seed=0)18.49
4Qwen3.5-0.8B (WSP Run: task=SciBench;candidate=base;thinking=enabled;temperature=0.6;top_p=0.95;top_k=20;max_new_tokens=32768;seed=0)1.38

Interactive version: theaggregate.ai/benchmark?slug=weight-space-programming-held-out-scibench · How It Works · Data refreshed daily, snapshot 2026-11-12.