Pith Number
pith:LFNOWQGN
pith:2025:LFNOWQGNUA6R44YJNUH4RUSN6I
not attested
not anchored
not stored
refs pending
Temperature Estimation in Induction Motors using Machine Learning
arxiv:2504.18105 v1 · 2025-04-25 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LFNOWQGNUA6R44YJNUH4RUSN6I}
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 | 2026-07-05T10:54:01.799743Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
595aeb40cda03d1e73096d0fc8d24df2274a8fe55a60d54e62710a637aedc381
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LFNOWQGNUA6R44YJNUH4RUSN6I \
| 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: 595aeb40cda03d1e73096d0fc8d24df2274a8fe55a60d54e62710a637aedc381
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6391989312859fe4ca7a687a00990d0fd2e4d746a2959359c1257b12703ed4c7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-04-25T06:22:31Z",
"title_canon_sha256": "f6f49073b17e7f3f403f560564869f3df7bda73c8b68a379455b650a693536b9"
},
"schema_version": "1.0",
"source": {
"id": "2504.18105",
"kind": "arxiv",
"version": 1
}
}