Pith Number
pith:DLNDM3AL
pith:2024:DLNDM3ALJIXPVIR5JDXB3EDAOB
not attested
not anchored
not stored
refs pending
Faster Multi-GPU Training with PPLL: A Pipeline Parallelism Framework Leveraging Local Learning
arxiv:2411.12780 v1 · 2024-11-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DLNDM3ALJIXPVIR5JDXB3EDAOB}
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
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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 | 2026-07-05T09:38:00.290099Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1ada366c0b4a2efaa23d48ee1d9060706993cbd23afe4911d22171d542357ead
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DLNDM3ALJIXPVIR5JDXB3EDAOB \
| 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: 1ada366c0b4a2efaa23d48ee1d9060706993cbd23afe4911d22171d542357ead
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c05110738d0b8f4d60d8619f6bd37b12ac3a5d4f5e0c90860eb6ea3d861aa8c1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-11-19T08:09:18Z",
"title_canon_sha256": "752a0cdcc6224a3894275629a6f1a0f4dd319b9afb527078e8e83f73c20b5e01"
},
"schema_version": "1.0",
"source": {
"id": "2411.12780",
"kind": "arxiv",
"version": 1
}
}