Pith Number
pith:PMFV2DU2
pith:2025:PMFV2DU26T6YLVUTL2P7OYUKDN
not attested
not anchored
not stored
refs pending
SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading
arxiv:2503.10377 v1 · 2025-03-13 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PMFV2DU26T6YLVUTL2P7OYUKDN}
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 | 2026-07-05T10:30:44.106194Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7b0b5d0e9af4fd85d6935e9ff7628a1b5a4d97990d5248f4f29e68463e8d1c48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PMFV2DU26T6YLVUTL2P7OYUKDN \
| 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: 7b0b5d0e9af4fd85d6935e9ff7628a1b5a4d97990d5248f4f29e68463e8d1c48
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d52f504b882c3263e5afcff4d9b5f6c5dfb15766440a01e3b325f4457b9ea238",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2025-03-13T13:55:22Z",
"title_canon_sha256": "72d26bf3debf7dfd8ef15b3d17434280d9380cf584ec9d02bc480c6ab02f6359"
},
"schema_version": "1.0",
"source": {
"id": "2503.10377",
"kind": "arxiv",
"version": 1
}
}