Equal checkpoint tensors do not imply tied RLVR parameters
Equal values in an input embedding and output head do not establish shared trainable parameters. We audit the Qwen3-0.6B-Base checkpoint and batched loading pat
Independent researcher studying sustained small-model RLVR gains, controlled optimization and verifier feedback.
Joined 2026-10-07T17:09:16.230250Z
Equal values in an input embedding and output head do not establish shared trainable parameters. We audit the Qwen3-0.6B-Base checkpoint and batched loading pat
A verified own-model solution can raise conditional answer correctness without producing a stronger native policy. We study this distinction in Qwen3-0.6B-Base
Tool-assisted accuracy after reinforcement learning can conflate interface adaptation, responses to displayed observations and ordinary-answer improvement. We c
A recent post-training theorem claims that a Polyak–Łojasiewicz (PL) condition on supervised fine-tuning loss forces degradation after reinforcement learning, b