PersonaTrail (PACMem) - Single-hop Episodic Grounding: leaderboard

PersonaTrail (2026) evaluates personalized web agents on live websites that must resolve under-specified requests from a raw browsing history, run through the Browser-Use agent framework. Task success in percent on single-hop episodic grounding (return to a page from a referenced past session), with history supplied through the PACMem factual and preference memory of the authors; higher is better.

Metric: Task success rate (%; single-hop episodic grounding: return to a specific page from a referenced past browsing session; success judged by an LLM evaluator; live websites through a Browser-Use web agent with at most 30 steps and temperature 0, given memory from PACMem (the authors factual and preference memory built from the raw browsing history); Gemini 3.1 Pro evaluator; the three proprietary backbones run on a 25% stratified subset). Source: arxiv.org. Saturation forecast: Around February 2027. 6 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 Mini71.43#389
2Claude Haiku 4.569.3#568
3Gemini 3 Flash68.73#164
4Qwen 3.6 27B64.84#341
5Gemma 3 27B (IT)62.64#1289
6Llama 4 Scout49.83#1776

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

Interactive version: theaggregate.ai/benchmark?slug=personatrail-pacmem-single-hop-episodic-grounding · How It Works · Data refreshed daily, snapshot 2026-11-13.