Pith Number
pith:2H7JLOSC
pith:2025:2H7JLOSCY3MI4JP56ZXEKW7ZCG
not attested
not anchored
not stored
refs pending
Data-Parallel Neural Network Training via Nonlinearly Preconditioned Trust-Region Method
arxiv:2502.05133 v1 · 2025-02-07 · cs.LG · cs.NA · math.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2H7JLOSCY3MI4JP56ZXEKW7ZCG}
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.
Receipt and verification
| First computed | 2026-07-05T10:11:09.750497Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d1fe95ba42c6d88e25fdf66e455bf9119042929fb2462d1a9a2b240b17349637
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2H7JLOSCY3MI4JP56ZXEKW7ZCG \
| 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: d1fe95ba42c6d88e25fdf66e455bf9119042929fb2462d1a9a2b240b17349637
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "57dbfc7501f83d89e8305bc6a6291288affd4c688baf91802b5a036a1de68d3b",
"cross_cats_sorted": [
"cs.NA",
"math.NA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-07T18:11:33Z",
"title_canon_sha256": "0ed3cb8d7808ed10934a1bd3ce2b78edb4f1793a159ebae431e2e04d0ecb762b"
},
"schema_version": "1.0",
"source": {
"id": "2502.05133",
"kind": "arxiv",
"version": 1
}
}