cs.LGMay 13, 2026

Reliability-Gated Source Anchoring for Continual Test-Time Adaptation

Authors: Vikash SinghDebargha GangulyWeicong ChenSabyasachi SahooSreehari SankarBiyao ZhangMohsen HaririShouren Wang+3 more

Organizations: 1Case Western Reserve University · 2Université Laval · 3Mila - Québec AI Institute

Abstract

Continual test-time adaptation (CTTA) updates a pretrained model online on an unlabeled, non-stationary stream while anchoring it to a frozen source checkpoint. This anchor is useful only when the source remains reliable. On CCC-Hard, however, a ResNet-50 source falls to approximately 1.3%1.3\% top-11 accuracy, while existing source-anchored CTTA methods continue applying the same anchor strength. We call this failure mode blind anchoring and propose RMemSafe, a reliability-gated extension of ROID that uses the frozen source's normalized predictive entropy to attenuate all explicit source-coupled uses in the objective. When the source posterior approaches uniformity, the gate closes: the source anchor and agreement filter vanish, and the objective reduces to a source-agnostic fallback comprising ROID's base losses plus marginal calibration. Combined with ASR, RMemSafe achieves the lowest error on 88 of 99 matched-split continual-corruption cells and is the best reset-based method on all 99, improving ROID+ASR by 1.051.05~pp on ResNet-50 and 0.480.48~pp on ViT-B/16. A controlled source-degradation sweep shows a 1.13×1.13{\times} shallower harm slope than ROID+ASR, consistent with the graceful-decay prediction. The entropy gate detects high-entropy source collapse, not confidently wrong low-entropy sources; this scope is explicitly evaluated and discussed.

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