pith:7OBGGQVB
Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems
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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\usepackage{pith}
\pithnumber{7OBGGQVBT6HCDWOKZBTLMJANE7}
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Record completeness
Claims
XaaS reduces latency by 38% while maintaining high explanation quality across three real-world edge-AI deployments.
That semantic similarity reliably identifies reusable explanations without significant loss of fidelity across heterogeneous devices and tasks.
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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Cited by
Receipt and verification
| 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
· · · · ·Agent API
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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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-02-04T01:28:57Z",
"title_canon_sha256": "9d049a38ddea7d57550fdf85c8dfcbccb649f80fe22119ade25c331cefe1a621"
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"source": {
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