Pith Number
pith:FUDNNAAZ
pith:2019:FUDNNAAZEAQO6UIGYVRR32LAMA
not attested
not anchored
not stored
refs pending
Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices
arxiv:1905.00968 v1 · 2019-05-02 · cs.DC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FUDNNAAZEAQO6UIGYVRR32LAMA}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
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 | 2026-05-17T23:47:08.108401Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2d06d680192020ef5106c5631de960601ef4ffccacfc320dd110760bade4d733
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FUDNNAAZEAQO6UIGYVRR32LAMA \
| 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: 2d06d680192020ef5106c5631de960601ef4ffccacfc320dd110760bade4d733
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "38f72cc2d8c5e0a173a7113422ee3bd13d199719147710b1167a6d006bb38fdd",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2019-05-02T21:25:56Z",
"title_canon_sha256": "a9a4fba5cdc28b70f8446f77152719ef82bbc43b7c84aa4009ecee9fd91db083"
},
"schema_version": "1.0",
"source": {
"id": "1905.00968",
"kind": "arxiv",
"version": 1
}
}