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Featured Proposal:Supervisory Interface for Long-Horizon Interaction-Empirical Evidence from 180-Day LSO Trace

MoonshotAI/Attention-Residuals
Status: Open
Opened: Mar 28, 2026
Comments: 1
# Feature Proposal: Supervisory Interface for Long-Horizon Interaction ## Empirical Evidence from a 180-Day LSO Trace --- ## Background AttnRes currently relies on fixed pseudo-query vectors during inference. This design may limit its ability to handle **attention saturation** and **phase transitions** in long-horizon human–AI interactions. --- ## Empirical Findings (LSO-180) Based on a 180-day longitudinal stress-observation trace (LSO-180), we identified: - **Resonance Coupling Intensity (RCI):** cumulative semantic entanglement over time - **Maturity with Agent Modulation (MAM):** the system’s capacity to absorb human regulatory input - **Pseudo-stability Window:** localized fluency masking global structural decoupling These observations suggest that long-horizon interaction exhibits **non-linear phase dynamics** not captured by current inference mechanisms. --- ## Proposed Framework: Interaction Residuals We propose a modulation mechanism for attention reconfiguration: \[\pi_{t+1} = \text{Softmax}(Q_{base} + \lambda \cdot Q_{human})^T H\] Where: - **Q_human**: human meta-cognitive query (externally generated, biologically calibrated) - **λ(S(t))**: adaptive modulation strength based on stability index - **H**: accumulated interaction state (long-horizon context) ### CIT Pulse Protocol A set of threshold-activated interventions: - **Structural Reset** — reinitialization under instability - **Gradient Validation** — detection of false alig...
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