Pith Number
pith:D4PGJ6XI
pith:2025:D4PGJ6XIBHB7KTGZOCYOG2TO2U
not attested
not anchored
not stored
refs pending
Scaling of hardware-compatible perturbative training algorithms
arxiv:2501.15403 v1 · 2025-01-26 · cs.LG · cs.NE · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D4PGJ6XIBHB7KTGZOCYOG2TO2U}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:56:13.875223Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1f1e64fae809c3f54cd970b0e36a6ed502581c696243cfe92cc9a37541e334b7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D4PGJ6XIBHB7KTGZOCYOG2TO2U \
| 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: 1f1e64fae809c3f54cd970b0e36a6ed502581c696243cfe92cc9a37541e334b7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "71bf502f8dbb963b9f1540a3c8a209ecc4c43547ed97ad645ce3c493cb5f9474",
"cross_cats_sorted": [
"cs.NE",
"math.OC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-26T05:11:42Z",
"title_canon_sha256": "dc98a4578ad667c74f536dde5019ab732eee11f0300ade7754706bd400d31e69"
},
"schema_version": "1.0",
"source": {
"id": "2501.15403",
"kind": "arxiv",
"version": 1
}
}