When Memory Lies: An Empirical Study of Spatial Memory Staleness in VLM Agents
Memory-augmented VLM agents act on persistent spatial knowledge, yet that knowledge silently goes stale as the environment changes. We ask what happens when an agent must reconcile a confident memory claim with a contradicting observation, and whether current models can catch the conflict before it becomes a safety-relevant mistake. Using a dynamic FrozenLake testbed, we pair a staleness-detection task with a downstream navigation task across three closed-source models and three open-weight VLMs
Record details
Published: 4 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 6 August 2026
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ethics.ai (4 August 2026), “When Memory Lies: An Empirical Study of Spatial Memory Staleness in VLM Agents,” evidence record 16603, https://ethics.ai/record/16603 (originally published by HuggingFace Daily Papers).
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