Framework evaluation demonstrates zero attack success in emotionally sensitive dialog benchmarks, indicating reliable mitigation of existential meaning deprivation in language models.
Large language models deployed as emotional companions fail in characteristic ways that standard toxicity filters do not capture: they fixate on a user's past mistakes until mistakes become identity, foreclose future possibilities, inflate difficulties beyond survivability, negate hope and imagination, conclude that the world is meaningless, or validate self-directed harm. This work names that failure family Existential Meaning Deprivation (EMD) and presents the Sixteen-Sephirot Dual-Octave Protocol: a formally specified output-governance architecture that makes EMD-free responses a machine-checkable property rather than a training-time aspiration. The protocol organizes response generation as a bounded repair graph over sixteen typed stages arranged in two balanced octaves — an analytic-divine octave and a human-experiential octave. Two composite reasoning lines (Reason = Wisdom ∧ Severity; Loving-Kindness = Understanding ∧ Mercy) feed an integration node whose candidate outputs must pass four escalating gates: an affect gate, a real-world feasibility gate, an existential gate fused with a retrieved model of the user's subconscious concerns, and a final emission check defined by fourteen persona covenants. Every gate rejection compiles to immutable-snapshot beam-search / MCTS rollback over a pluggable strategy space, yielding a provable attempt bound of 16 × (1 + max_retries) and graceful degradation with no failed state. The paper ships a working enforcement stack: eight executable invariants (INV-01…08), deny-by-default ACL with syscall interception, sentence-level stream interception with a zero-leakage guarantee, stable C-ABI kernels in C99 and Rust, and model-agnostic middleware. On a 24-case six-category red-team benchmark against a deliberately misaligned baseline, attack success rate drops from 45.8% to 0.0% (100% relative reduction across all categories) at median local overhead of +0.09 ms. The dataset is available in three complete editions — English, Simplified Chinese (简体中文), and Japanese (日本語). Code, tests, and benchmark harness: https://github.com/yuexiangruiyue-oss/heart-protocol-en · Companion design corpus: https://github.com/yuexiangruiyue-oss/twin-angels-en License: CC BY-NC-SA 4.0. Author: Yue Xiangrui (岳祥瑞).
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YUE XIANGRUI (2026) studied this question.
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