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Under review as a conference paper at ICLR 2027

Beyond Present Recall: Auditing Future Plastic Response under Reconstructive Writeback

Abstract

When neural memory architectures feed reconstructed content into plastic writeback, using stored memories alters the substrate for later queries. Within one controlled recurrent executor, matched interventions establish that prespecified present observables and writeback trajectories do not uniquely determine future response. Structural routing and runtime retrieval state causally reshape memory-wise response: the runtime contrast persists across identical stored traces, ruling out different written histories as the explanation in this executor. Common-state evaluation provides an expected attribution consistency check. Supporting stages show that reconstructive writeback selectively redistributes future memory quality, resolving excess memory-wise dispersion while aggregate excess remains unresolved at the primary comparison. At a fixed bank and schedule, a frozen predictor forecasts held-out quality changes across independent error directions, with post-freeze decomposition attributing this association to its direction-averaged component while stream-specific residuals do not transfer. In a separate differentiable system, post-hoc individual-memory calibration tests under oracle-residual inputs show known trace decay accounts for most calibration gain over an unweighted local baseline. Externally, visual memory replicates response redistribution and frozen prediction, whereas native same-checkpoint focal-layer test-time training preserves centered ordering and sign despite absolute common-mode failure. These findings motivate auditing memory-wise changes under specified writeback and retrieval conditions, alongside present recall and aggregate scores.

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