Pith Number
pith:JS5HPNEC
pith:2026:JS5HPNECYL7W5J5KXYRFX42IF6
not attested
not anchored
not stored
refs pending
Are Machine Learning Interatomic Potentials Truly Practical? A Benchmark of 23 Mainstream Models
arxiv:2607.07647 v1 · 2026-07-08 · cond-mat.mtrl-sci · cs.CE · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JS5HPNECYL7W5J5KXYRFX42IF6}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-09T01:20:37.927753Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4cba77b482c2ff6ea7aabe225bf3482f82ae70b5493264d38d1e18be655d8b1b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JS5HPNECYL7W5J5KXYRFX42IF6 \
| 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: 4cba77b482c2ff6ea7aabe225bf3482f82ae70b5493264d38d1e18be655d8b1b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "570f7d3992a4adce7ccc57eccca9591bcead57de02c59d06d001c95659e08aec",
"cross_cats_sorted": [
"cs.CE",
"physics.comp-ph"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2026-07-08T17:04:42Z",
"title_canon_sha256": "42d66daac34c0ca72b866c679388b5f558d6eb8890274e2fc84c483a397df3dc"
},
"schema_version": "1.0",
"source": {
"id": "2607.07647",
"kind": "arxiv",
"version": 1
}
}