Probes test spatial state in ten visual foundation models
Strong visible-scene readout does not ensure object persistence, future-feature retrieval or reliable action utility.
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Strong visible-scene readout does not ensure object persistence, future-feature retrieval or reliable action utility.
On HardMatch, where VGGT fails on 35% of 1,000 pairs, a frozen-feature probe reaches 93.5% ROC-AUC.
Depth-as-time analysis shows one-step diffusion models reorganize temporal denoising across network depth, enabling 16.6x compression of MeanFlow SiT-L/2.
Belief Self-Distillation reads and rewrites an LLM's user beliefs, changing refusals with the request fixed.

Attackers probed unauthenticated WordPress LFI CVE-2026-87902 within hours of the 7.1.2 patch.
PIR reads internal model states to detect concealed knowledge, distinguishing sandbagging from genuine ignorance across Gemma, Qwen, Llama, Mistral and Phi models.
Probing six open-source LLMs on HMM-generated data shows belief states are linearly decodable (R² 0.83–0.99), suggesting in-context learning approximates Bayesian prediction.
Gavel reads native skill-routing signals from a frozen LLM's forward passes with two linear maps, beating retrieve-and-rerank pipelines by up to 21.9 points on Qwen3-32B.
Probing study shows vision encoders make canonical color linearly decodable from grayscale images and tie it to object identity.
Probing finds transformers represent an inferred dialogue partner's expertise in early layers long before it causally influences output.
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