Pith Number
pith:T465Z3ZG
pith:2022:T465Z3ZGD2PPIS4G7U6L2NSGNW
not attested
not anchored
not stored
refs pending
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism
arxiv:2211.13878 v1 · 2022-11-25 · cs.LG · cs.DB · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T465Z3ZGD2PPIS4G7U6L2NSGNW}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:19:27.326284Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9f3ddcef261e9ef44b86fd3cbd36466d9cd98a765ec7fe63f8c9eac16a7fa888
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T465Z3ZGD2PPIS4G7U6L2NSGNW \
| 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: 9f3ddcef261e9ef44b86fd3cbd36466d9cd98a765ec7fe63f8c9eac16a7fa888
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4cb796705831551840479bb02b596ae440a1f03e9c0e45851d735c51075dc974",
"cross_cats_sorted": [
"cs.DB",
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-11-25T03:45:31Z",
"title_canon_sha256": "3d833bd157113665f11023d3d5ab87046635aa9dd331356f93859b059a8591c5"
},
"schema_version": "1.0",
"source": {
"id": "2211.13878",
"kind": "arxiv",
"version": 1
}
}