Auto86%Harbor: pendingAgentic / Tool UseInstruction Following

Grounding Awareness

Grounding Awareness benchmark

A controlled benchmark of 160 scenarios and 800 test instances evaluating agents' ability to distinguish accepted from unacknowledged proposals in longitudinal interactions.

How to run

ltb · grounding-awareness
$ npm i -g lettokenburn-cli
$ ltb bench info grounding-awareness

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

6 sourced entries
HarnessSourceConfidenceLink
Qwen Max (2025-01-25)0.5glIndependentmediumOct 13, 2026arxiv.org
DeepSeek Chat0.4glIndependentmediumOct 13, 2026arxiv.org
Qwen Max (2025-01-25)0.2langmemIndependentmediumOct 13, 2026arxiv.org
DS0.2langmemIndependentmediumOct 13, 2026arxiv.org
GPT0.1langmemIndependentmediumOct 13, 2026arxiv.org
Gemini0.1langmemIndependentmediumOct 13, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
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About

The benchmark uses an agentic framework to generate matched conversation histories differing in proposal acceptance status. It evaluates sensitivity and contextual selectivity across memory writing, retrieval, and action selection.

Scoring focuses on whether agents correctly execute only authorized arrangements. Findings show strong memory performance does not ensure Grounding Awareness, with persistent memory often causing execution of unacknowledged proposals.