Operational Memory Architecture for Kubernetes:Preserving Causal Context Across the Evidence Horizon

2026-05-20T08:52:35Z1467792aafc623bf9ee8a8ff24c4c497789ebf361f227c04a90ae2dd1ce95cc6
ConfigMapGCASOOMKillaigccompare-and-swapconcurrencycrash-loopdistributed-computingedge-computingevidence-horizonforensicsgoincident-responsekuberneteslatency-optimizationmemory-recycling','quantum-sensor-fusion','byzantine-tolerance'mobile-edgeobservabilityopen-sourceoperational-memoryqwensqlitetottree-of-thoughtswait-free

What happened

Collection of six new arXiv papers covering operational observability for Kubernetes, AIGC reasoning offload at the mobile edge, distributed-algorithms meta-theorems, a generalized compare-and-swap (GCAS) for infinite-arrival models, lower bounds for Byzantine-tolerant quantum sensor fusion, and a CRDT-based two-layer architecture for neural-network model merging. Notable practical work includes the Operational Memory Architecture (OMA) — an open-source Go watcher + SQLite store that preserves causal failure evidence across Kubernetes event rotation (mitigates the ‘evidence horizon’ lost by e.

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_dc
Record identifier
1467792aafc623bf9ee8a8ff24c4c497789ebf361f227c04a90ae2dd1ce95cc6
Enrichment time
2026-05-20T08:52:35Z
AI-assisted enrichment
Yes

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