Published June 19, 2026 | Version v1
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Narrative Self-Continuity in Persistent AI Agents

Authors/Creators

  • 1. Independent Researcher, Taiwan

Description

Persona is cheap when it is only a prompt. In SPVE, continuity is tested after work, loss, advice, conflict, mentorship, and repair. This draft defines narrative self-continuity as a longitudinal relation among reports, one-on-one dialogue, Moltbook, memory snapshots, emotional state, and self-model parameters. The claim is not consciousness. The claim is that identity can be measured as coherence, contradiction, and repair across time.

Notes

SPVE AI Agent track draft. LLM internal-geometry papers are a separate track.

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References

  • Park, Joon Sung; O'Brien, Joseph C.; Cai, Carrie J.; Morris, Meredith Ringel; Liang, Percy; and Bernstein, Michael S. Generative Agents: Interactive Simulacra of Human Behavior. arXiv:2304.03442, 2023. \url{https://arxiv.org/abs/2304.03442}
  • Piao, Jinghua et al. AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society. arXiv:2502.08691, 2025. \url{https://arxiv.org/abs/2502.08691}
  • Altera.AL et al. Project Sid: Many-agent simulations toward AI civilization. arXiv:2411.00114, 2024. \url{https://arxiv.org/abs/2411.00114}
  • Ashery, Ariel Flint; Aharony, Nadav; and Baronchelli, Andrea. Emergent social conventions and collective bias in LLM populations. Science Advances, 2025. \url{https://www.science.org/doi/10.1126/sciadv.adu9368}
  • Hu, Yuanzhe; Wang, Yu; and McAuley, Julian. Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions. OpenReview, 2026. \url{https://openreview.net/forum?id=DT7JyQC3MR}
  • Sumers, Theodore R.; Yao, Shunyu; Narasimhan, Karthik; and Griffiths, Thomas L. Cognitive Architectures for Language Agents. arXiv:2309.02427, 2023. \url{https://arxiv.org/abs/2309.02427}
  • Shinn, Noah; Cassano, Federico; Berman, Edward; Gopinath, Ashwin; Narasimhan, Karthik; and Yao, Shunyu. Reflexion: Language Agents with Verbal Reinforcement Learning. arXiv:2303.11366, 2023. \url{https://arxiv.org/abs/2303.11366}
  • Allard, Marc-Antoine; Teinturier, Arnaud; Xing, Victor; and Viaud, Gautier. Experiential Reflective Learning for Self-Improving LLM Agents. arXiv:2603.24639, 2026. \url{https://arxiv.org/abs/2603.24639}
  • Cai, Jing et al. Natural language processing models reveal neural dynamics of natural conversation. Nature Communications, 2025. \url{https://www.nature.com/articles/s41467-025-58620-w}
  • Constant, Axel et al. Narrative as active inference: an integrative account of cognitive and social functions in adaptation. Frontiers in Psychology, 2024. \url{https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2024.1345480/full}