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pith:2026:7OBGGQVBT6HCDWOKZBTLMJANE7
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Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems

Joyjit Roy, Samaresh Kumar Singh

XaaS decouples explanation generation from inference so edge devices can cache and reuse explanations, cutting latency by 38 percent while keeping quality high.

arxiv:2602.04120 v3 · 2026-02-04 · cs.LG · cs.AI · cs.DC · cs.SE

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

XaaS reduces latency by 38% while maintaining high explanation quality across three real-world edge-AI deployments.

C2weakest assumption

That semantic similarity reliably identifies reusable explanations without significant loss of fidelity across heterogeneous devices and tasks.

C3one line summary

XaaS decouples explanation generation from model inference via a distributed cache, verification protocol, and adaptive engine, achieving 38% lower latency in three edge-AI use cases.

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1 paper in Pith

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First computed 2026-05-26T02:05:06.341139Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fb826342a19f8e21d9cac866b6240d27e6740eb46e5b7b78e8dd0e86b61377a8

Aliases

arxiv: 2602.04120 · arxiv_version: 2602.04120v3 · doi: 10.48550/arxiv.2602.04120 · pith_short_12: 7OBGGQVBT6HC · pith_short_16: 7OBGGQVBT6HCDWOK · pith_short_8: 7OBGGQVB
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7OBGGQVBT6HCDWOKZBTLMJANE7 \
  | 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: fb826342a19f8e21d9cac866b6240d27e6740eb46e5b7b78e8dd0e86b61377a8
Canonical record JSON
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    "submitted_at": "2026-02-04T01:28:57Z",
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