H3LIX TIME (HTX): A Relativistic, Unified Temporal Architecture for Human–AI Symbiosis
Authors/Creators
- 1. AMOTHO Research Institute
- 2. Wrocław University of Science and Technology
Description
Time is commonly treated as a neutral coordination signal, represented by timestamps and maintained through clock synchronization. While sufficient for measurement, such approaches do not encode causal precedence, provenance, uncertainty, or execution authority, and therefore cannot support accountable coordination in distributed human–AI systems. As artificial agents increasingly compress and accelerate decision-making beyond human interpretive capacity, this limitation enables “shadow timelines” in which actions become effectively authoritative without shared oversight.
This paper introduces H3LIX TIME (HTX), a governance-native, event-centric temporal substrate that treats time as structured, verifiable information rather than scalar measurement. HTX replaces timestamps with information-rich Chronons, organizes committed events on a canonical append-only spine, supports multi-frame temporal projections for heterogeneous agents, models uncertainty and temporal density explicitly, and gates execution through provenance-bound authority rules. Together, these mechanisms make temporal progression auditable, prevent hidden acceleration, and enable policy-enforceable action legitimacy.
By integrating ordering, meaning, and governance within a unified temporal infrastructure, HTX reframes time from a background assumption into an operational control surface for safe and accountable human–AI symbiosis.
Files
2026 Mathiesen & Tworek HTX.pdf
Files
(310.0 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:e02b1fa72b0d39df9fb0aba837963380
|
310.0 kB | Preview Download |
Additional details
References
- 1. Amodei, D., Olah, C., Steinhardt, J., Christiano, P., Schulman, J., & Mané, D. (2016). Concrete problems in AI safety. arXiv preprint arXiv:1606.06565. 2. Belhajjame, K., B'Far, R., Cheney, J., Coppens, S., Cresswell, S., Gil, Y., ... & Tilmes, C. (2013). Prov-dm: The prov data model. W3C Recommendation, 14, 15-16. 3. Birman, K. P. (2012). Guide to reliable distributed systems: building high-assurance applications and cloud-hosted services. Springer Science & Business Media. 4. Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., ... & Anderljung, M. (2020). Toward trustworthy AI development: mechanisms for supporting verifiable claims. arXiv preprint arXiv:2004.07213. 5. Chandy, K. M., & Lamport, L. (1985). Distributed snapshots: Determining global states of distributed systems. ACM Transactions on Computer Systems (TOCS), 3(1), 63-75. 6. Cheney, J., Chiticariu, L., & Tan, W. C. (2009). Provenance in databases: Why, how, and where. Foundations and Trends® in Databases, 1(4), 379-474. 7. Corbett, J. C. (2012). Spanner: Google's globally distributed database. Published in Proceedings of the 10th Symposium on Operating System Design and Implementation. 8. Crosby, S. A., & Wallach, D. S. (2009, August). Efficient data structures for tamper-evident logging. In USENIX security symposium (pp. 317-334). 9. Eagleman, D. M. (2008). Human time perception and its illusions. Current opinion in neurobiology, 18(2), 131-136. 10. Eidson, J. C., Fischer, M., & White, J. (2002, December). IEEE-1588™ Standard for a precision clock synchronization protocol for networked measurement and control systems. In Proceedings of the 34th annual precise time and time interval systems and applications meeting (pp. 243-254). 11. Fidge, C. J. (1987). Timestamps in message-passing systems that preserve the partial ordering. 12. Flaherty, M. G. (2011). The textures of time: Agency and temporal experience. Temple University Press. 13. Horvath, S. (2013). DNA methylation age of human tissues and cell types. Genome biology, 14(10), 3156. 14. Lamport, L. (2001). Paxos made simple. ACM SIGACT News (Distributed Computing Column) 32, 4 (Whole Number 121, December 2001), 51-58. 15. Lamport, L. (2019). Time, clocks, and the ordering of events in a distributed system. In Concurrency: the Works of Leslie Lamport(pp. 179-196). 16. Laurie, B., Langley, A., & Kasper, E. (2013). Certificate transparency (RFC 6962). IETF RCFs. 17. Mathiesen-Ohman, A. (2025a), H3LIX: AI–human symbiotic integration process. U.S. Provisional Patent Application No. 63/910,500. United States Patent and Trademark Office. 18. Mathiesen-Ohman, A. (2025b), Quantum-inspired rogue variable modelling, human-in-the-loop decoherence, and collective cognitive inference. U.S. Provisional Patent Application No. 63/941,301. United States Patent and Trademark Office. 19. Mathiesen-Ohman, A. (2025b), Quantum-inspired rogue variable modelling, human-in-the-loop decoherence, and collective cognitive inference. U.S. Provisional Patent Application No. 63/941,301. United States Patent and Trademark Office. 2025. 20. Mathiesen-Ohman, A. (2025c), H3LIX TIME (HTX): A Relativistic, Unified Temporal Architecture for Human–AI Symbiosis. U.S. Provisional Patent Application. 21. Mattern, F. (1988). Virtual time and global states of distributed systems (pp. 215-226). Univ., Department of Computer Science. 22. Mills, D., Burbank, J., & Kasch, W. (2010). RFC 5905: Network time protocol version 4: Protocol and algorithms specification. 23. Moreau, L., Missier, P., Cheney, J., & Soiland-Reyes, S. (2013). PROV-N: The provenance notation. 24. Ongaro, D., & Ousterhout, J. (2014). In search of an understandable consensus algorithm. In 2014 USENIX annual technical conference (USENIX ATC 14) (pp. 305-319). 25. Russell, S. (2019). Human compatible: AI and the problem of control. Penguin Uk.