ESBT: A Scalable and Deterministic Sequence CRDT for Distributed Collaborative Editing
2026-07-31T08:52:11Z•6a8a0fe353ba6030a802dbde9fd5a2806cb5ee72f23ae0a46de79e4d9f0aebb5
CRDTGPU-clustersKV-cacheKubernetesLLM-inferenceacademic-researchcloud-continuumcollaborative-editingcross-chain-DeFicyber-physical-systemsdistributed-optimizationdistributed-systemsfederated-infrastructurefederated-learningliquidity-poolsmulti-tenant-schedulingperformance-metrics
What happened
A collection of new arXiv papers covering distributed systems, collaborative editing CRDTs, disaggregated LLM inference, cloud-continuum and cyber-physical experimentation, GPU cluster scheduling, federated research infrastructure allocation, performance measurement, cross-chain liquidity pools, federated image enhancement, and distributed optimization. The items are primarily academic research and do not report exploitable vulnerabilities or security incidents.
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- 6a8a0fe353ba6030a802dbde9fd5a2806cb5ee72f23ae0a46de79e4d9f0aebb5
- Enrichment time
- 2026-07-31T08:52:11Z
- AI-assisted enrichment
- Yes
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