Tulane University

Quantizing SAM 3's image-encoder weights to 4 bits while keeping activations at 8 bits produces prompt-alignment drift: masks look plausible but land on the wrong object or lose the target across video frames. SPQ gives more calibration weight to parameters that affect text-concept scores, constrains feature error along low-variance residual directions, and folds a mean-error correction estimated from paired video rollouts into existing biases. Under W4A8, RefCOCO Pr@0.5 rises from 42.1 for PTQ4SAM to 72.5 while retaining 54.8 COCO mask AP, with no added inference operators.

Quantizing SAM 3's image-encoder weights to 4 bits while keeping activations at 8 bits produces prompt-alignment drift: masks look plausible but land on the wrong object or lose the target across video frames. SPQ gives more calibration weight to parameters that affect text-concept scores, constrains feature error along low-variance residual directions, and folds a mean-error correction estimated from paired video rollouts into existing biases. Under W4A8, RefCOCO Pr@0.5 rises from 42.1 for PTQ4SAM to 72.5 while retaining 54.8 COCO mask AP, with no added inference operators.

EvoBelief writes an agent's knowledge of its environment as falsifiable hypotheses, and only rules that survive independent evidence may change predictions or plans, while the language model stays frozen. On ALFWorld without actor-side transition memory it raises success over the matched Frozen World Model by 23.9% with Claude Haiku 4.5 and 31.3% with GPT-5.4; in DiscoveryWorld's Reactor Lab it completes 83.3% of Normal-tier and 58.3% of Challenge-tier instances, versus 0% for each evaluated baseline.

EvoBelief writes an agent's knowledge of its environment as falsifiable hypotheses, and only rules that survive independent evidence may change predictions or plans, while the language model stays frozen. On ALFWorld without actor-side transition memory it raises success over the matched Frozen World Model by 23.9% with Claude Haiku 4.5 and 31.3% with GPT-5.4; in DiscoveryWorld's Reactor Lab it completes 83.3% of Normal-tier and 58.3% of Challenge-tier instances, versus 0% for each evaluated baseline.