PAL-Bench (PAL-TRACE) - Person Identity Resolution: leaderboard

PAL-Bench (Yan et al., 2026) asks a system to reconstruct a person's profile from a synthetic longitudinal photo album seen only through perception outputs (captions, OCR, entities, face clusters, timestamps and coarse metadata), over 50 users and 2,799 hidden targets. Runs use the authors' PAL-TRACE framework with the listed LLM as backbone and a fixed Qwen3.6-35B-A3B judge; this board is person identity resolution, the harmonic mean of the share of recurring people the profile names and the share of those bound to the right face cluster, from 0 to 1 averaged over users, higher is better.

Metric: Person identity resolution (0-1; harmonic mean of the share of a user's hidden social persons, 653 in all, that the profile names and the share of those bound to the correct face cluster; PAL-TRACE framework with the listed LLM as reconstruction backbone; 50 synthetic users, macro-averaged over users; Qwen3.6-35B-A3B semantic judge). Source: arxiv.org. Saturation forecast: Around March 2027. 9 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)0.56#91
2DeepSeek V4 Flash0.48#254
3GPT-5.40.48#121
4Claude Sonnet 4.50.45#244
5Qwen 3.6 35B A3B0.44#461
6Gemini 3.1 Flash Lite0.44#363
7GPT-5.4 Mini0.42#389
8Gemma 4 26B A4B (IT)0.4#545

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=pal-bench-pal-trace-person-identity-resolution · How It Works · Data refreshed daily, snapshot 2026-11-12.