Pith Number
pith:SKJOCAPF
pith:2025:SKJOCAPFFX3QJ3TB4C5TCVNKDZ
not attested
not anchored
not stored
refs pending
Data-Efficient Machine Learning Potentials via Difference Vectors Based on Local Atomic Environments
arxiv:2501.16398 v2 · 2025-01-27 · cs.LG · physics.atom-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SKJOCAPFFX3QJ3TB4C5TCVNKDZ}
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 | 2026-07-05T11:13:19.396866Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9292e101e52df704ee61e0bb3155aa1e6117b200e44f47c28bd0a0e7741b7247
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SKJOCAPFFX3QJ3TB4C5TCVNKDZ \
| 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: 9292e101e52df704ee61e0bb3155aa1e6117b200e44f47c28bd0a0e7741b7247
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "066e2e95fc8e0819881fbacca2e500c19f16204de312b021a1ee36bd9a010e82",
"cross_cats_sorted": [
"physics.atom-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-27T04:08:37Z",
"title_canon_sha256": "1933ea33245599b347d5dc62951404c797acd3f06f1be3bc53f32c717df79b04"
},
"schema_version": "1.0",
"source": {
"id": "2501.16398",
"kind": "arxiv",
"version": 2
}
}