Unverified50% confidenceFactExact time
Event2Vec defines a history h_t as the rolling sum of event vectors: h_t = h_{t-1} + e_{x_t}, with norm clipping performed at each step.
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50%
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Long-term
Relevance
10/14/2026
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Related Claims
UnverifiedEvent2Vec performs next-event prediction via softmax(W h_t + b), and its history representation is additive.73% similarUnverifiedEvent Sourcing is an architectural pattern that models system state as an immutable sequence of events, persisting the fact of every state change, with the current state derived by replaying all historical events in order; its advantages include a complete audit log, the ability to rebuild the state at any point in time, and the ability to fix projections or add new read models through replay, while the cost is that querying the current state requires aggregating events, and it is usually combined with CQRS and materialized views to optimize read performance.60% similarUnverifiedSince the history is a sum, any linear scoring model built on it can be exactly decomposed into the independent contribution of each event: score = w·h + b = Σ_i (e_i·w) + b.59% similarUnverifiedSSM 通过随时间演化的隐藏状态 h_t = A·h_{t-1} + B·x_t 压缩历史信息，输出由 h_t 线性映射得到，单步解码计算量与序列长度无关，显存占用恒定。58% similarUnverifiedThe defining constraint of BMA is a closed-loop update equation S_t ← H_{t-1}, where H_t is a mixed event-self latent variable that binds self-representation with an abstract world model and re-injects it into the self-state at the next time step.57% similar
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