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ChronoSSM: Training for Temporally Aware Representations in Autoregressive State Space Models

ChronoSSM is a new autoregressive State Space Model that jointly trains on both event tokens and timestamps to improve temporal reasoning in sequence modeling, addressing a gap where timing is typically treated as secondary to event prediction.