Pith Number
pith:AHIXPPKR
pith:2018:AHIXPPKR2F7EUFPVROPPHEQEXE
not attested
not anchored
not stored
refs pending
Robust identification of thermal models for in-production High-Performance-Computing clusters with machine learning-based data selection
arxiv:1810.01865 v2 · 2018-10-03 · cs.LG · eess.SP · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AHIXPPKR2F7EUFPVROPPHEQEXE}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
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4
Citations
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Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T00:01:21.519713Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
01d177bd51d17e4a15f58b9ef39204b90bf847c95b89a0c52c0d1ca5bc44237f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AHIXPPKR2F7EUFPVROPPHEQEXE \
| 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: 01d177bd51d17e4a15f58b9ef39204b90bf847c95b89a0c52c0d1ca5bc44237f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "42566a173b2b952d24d5caf64fbec259b0c9cce0f8f5e6ae3e1fb88bc78134ab",
"cross_cats_sorted": [
"eess.SP",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-10-03T12:11:20Z",
"title_canon_sha256": "b819791f134146c5373ab3094f1fbce383fa9f49094f993983ba9fb82e8da955"
},
"schema_version": "1.0",
"source": {
"id": "1810.01865",
"kind": "arxiv",
"version": 2
}
}