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Finding ·

A judge from a different model family…

A judge from a different model family scores everything higher on V-para, but keeps the ranking and the near-zero win-rate.

From the record

Value
4B: raw 0.497 (0.449–0.547), floor-adjusted 0.361; deep + think 512: raw 0.667 (0.621–0.711), floor-adjusted 0.577 (0.519–0.632); deep − 4B +0.171 (+0.123…+0.219) vs +0.139 under Claude; per-item Spearman 0.88–0.92; win-rate 0.00–0.01
Caveat
Post-hoc and not pre-registered; it is the only point above 0.50 floor-adjusted on V-para and exists only under the cross-family judge; the lower-judge rule keeps the Claude number as headline.

Where this comes from

  • A judge from a different model family scores everything higher on V-para, but keeps the ranking and the near-zero win-rate.A judge from a different model family scores everything higher on V-para, but keeps the ranking and the near-zero win-rate.4B: raw 0.497 (0.449–0.547), floor-adjusted 0.361; deep + think 512: raw 0.667 (0.621–0.711), floor-adjusted 0.577 (0.519–0.632); deep − 4B +0.171 (+0.123…+0.219) vs +0.139 under Claude; per-item Spearman 0.88–0.92; win-rate 0.00–0.01SetV-paraStatusdev-styleJudgecross-family: OpenAI gpt-5.6-sol (via the Codex CLI) (post-hoc, not pre-registered)n51 (408 judge calls)Seeds2Date2026-10-16CaveatPost-hoc and not pre-registered; it is the only point above 0.50 floor-adjusted on V-para and exists only under the cross-family judge; the lower-judge rule keeps the Claude number as headline.Sourcenot in the public repositories yetOpen the data file