Pith Number
pith:ITNKW42J
pith:2026:ITNKW42JMB24XRIWYS25W57SSR
not attested
not anchored
not stored
refs pending
Introduction to optimization methods for training SciML models
arxiv:2601.10222 v2 · 2026-01-15 · math.NA · cs.AI · cs.NA · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ITNKW42JMB24XRIWYS25W57SSR}
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 | 2026-06-03T01:05:47.786196Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
44daab73496075cbc516c4b5db77f2945118b6940c3ef0025e3a4b3b5b773d20
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ITNKW42JMB24XRIWYS25W57SSR \
| 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: 44daab73496075cbc516c4b5db77f2945118b6940c3ef0025e3a4b3b5b773d20
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d633a49e5be3940afef6230bc8b5c2898648148eff29c72fa2c26c1cedca9b93",
"cross_cats_sorted": [
"cs.AI",
"cs.NA",
"math.OC"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "math.NA",
"submitted_at": "2026-01-15T09:36:15Z",
"title_canon_sha256": "be21cec51bba1e8c98fdeeb72f5b160de3b890939c127451ec701f87111feb23"
},
"schema_version": "1.0",
"source": {
"id": "2601.10222",
"kind": "arxiv",
"version": 2
}
}