pith:IDTMCYZQ
Self-Evolving Distributed Memory Architecture for Scalable AI Systems
A self-evolving three-layer memory architecture unifies computation, communication, and deployment management in distributed AI systems.
arxiv:2601.05569 v2 · 2026-01-09 · cs.DC
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\pithnumber{IDTMCYZQQD7EIJ4DPZQD5GJVQU}
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Record completeness
Claims
The framework maintains dual memory systems tracking both long term performance patterns and short term workload statistics and achieves 87.3 percent memory utilization efficiency and 142.5 operations per second compared to Ray Distributed at 72.1 percent and 98.7 operations per second, while reducing communication latency by 30.2 percent to 171.2 milliseconds and improving resource utilization to 82.7 percent.
The assumption that dynamic partitioning based on device characteristics, memory aware peer selection, and continuous reconfiguration can be effectively implemented and will lead to the reported performance gains without additional overheads or complexities in real-world NAT-constrained networks.
A unified three-layer memory management framework for distributed AI achieves 87.3% memory utilization and 142.5 ops/sec on benchmarks, outperforming Ray Distributed.
Receipt and verification
| First computed | 2026-05-17T23:39:00.295449Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
40e6c1633080fe4427837e603e99358529daf23d57f87f49db9ba7ff6864c440
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IDTMCYZQQD7EIJ4DPZQD5GJVQU \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 40e6c1633080fe4427837e603e99358529daf23d57f87f49db9ba7ff6864c440
Canonical record JSON
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