Pith Number
pith:AOU3DLMW
pith:2020:AOU3DLMWYYPJNAIKF4H2CEDLPG
not attested
not anchored
not stored
refs pending
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters
arxiv:2010.00501 v2 · 2020-10-01 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AOU3DLMWYYPJNAIKF4H2CEDLPG}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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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 | 2026-07-05T01:39:45.736445Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
03a9b1ad96c61e96810a2f0fa1106b7982a1e89148ac8df6a9eefb2a504d1ba6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AOU3DLMWYYPJNAIKF4H2CEDLPG \
| 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: 03a9b1ad96c61e96810a2f0fa1106b7982a1e89148ac8df6a9eefb2a504d1ba6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "48432285a8d5248938b0e11c45c4c771d27755c4f0b50bb3da8b191a83dcd739",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2020-10-01T15:47:55Z",
"title_canon_sha256": "cdd489c18fd21847511dd6224e2ee813b7f1b968a22da18711e4051294bcf82b"
},
"schema_version": "1.0",
"source": {
"id": "2010.00501",
"kind": "arxiv",
"version": 2
}
}