Pith Number
pith:7HQHIIKO
pith:2025:7HQHIIKOLIINIFHJ3BJTOINUAA
not attested
not anchored
not stored
refs pending
Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism
arxiv:2507.05753 v1 · 2025-07-08 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7HQHIIKOLIINIFHJ3BJTOINUAA}
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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claim
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 | 2026-07-05T11:33:35.822125Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f9e074214e5a10d414e9d8533721b4003187eaf11547591f43e8f4248c3cb392
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7HQHIIKOLIINIFHJ3BJTOINUAA \
| 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: f9e074214e5a10d414e9d8533721b4003187eaf11547591f43e8f4248c3cb392
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4513fe9d058443f4955bc4f8b12644052e9ea4be2609aff565ed538f36736a3a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-08T07:57:08Z",
"title_canon_sha256": "b0b4e3d15bab05bcc9dc11b24270e637f694a4d3c519d83cef7a39d71241d253"
},
"schema_version": "1.0",
"source": {
"id": "2507.05753",
"kind": "arxiv",
"version": 1
}
}