TIDE (Evolving Documents, Gold Context) - Perturbation Detection: leaderboard

Part of TIDE (Sobhani et al., 2026) on temporally evolving Bangladesh customs instruments, with the governing instrument supplied in the prompt: the model decides whether a statement about an instrument has been altered, over 498 perturbed and unperturbed statements. Accuracy in percent, higher is better.

Metric: Strict accuracy (%; true-or-altered verdicts on 498 statements, perturbed and unperturbed together; TIDE, 3,050 expert-verified questions over 644 Bangladesh customs instruments (1969-2025); free-form answers are judged by a council of Claude Opus 4.6, Gemini 3.5 Flash and GPT-5.1 by majority vote with a hard date gate, deterministic tasks by exact match; strict accuracy without the partial-rubric credit; thinking enabled, temperature 0; gold context: the governing instrument text is supplied in the prompt). Source: arxiv.org. Saturation forecast: Around February 2027. 9 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.5 Flash81.33#101
2GPT-5.2 (Thinking)80.32#176 (GPT-5.2)
3Claude Sonnet 4.5 (Thinking)80#250 (Claude Sonnet 4.5)
4Gemma 4 31B (Reasoning)79.52#394 (Gemma 4 31B)
5Qwen 3.6 35B A3B77.31#462
6Kimi K2.5 (Thinking)77.11#256 (Kimi K2.5)
7GPT-OSS-120B74.5#700
8GLM-4.673.9#486

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

Interactive version: theaggregate.ai/benchmark?slug=tide-evolving-documents-gold-context-perturbation-detection · How It Works · Data refreshed daily, snapshot 2026-11-13.