Pith Number
pith:SC23DYPS
pith:2025:SC23DYPSKYAMBU4DIXHTPAFE46
not attested
not anchored
not stored
refs pending
Efficient Long-Range Machine Learning Force Fields for Liquid and Materials Properties
arxiv:2505.06462 v2 · 2025-05-09 · physics.chem-ph · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SC23DYPSKYAMBU4DIXHTPAFE46}
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 | 2026-07-05T11:47:22.809519Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
90b5b1e1f25600c0d38345cf3780a4e7aaa1eb967bc0e1a1fdce97116d4ae9ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SC23DYPSKYAMBU4DIXHTPAFE46 \
| 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: 90b5b1e1f25600c0d38345cf3780a4e7aaa1eb967bc0e1a1fdce97116d4ae9ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "78f188899dc4b4dcd7296d9983607422a5916ada1eb4a019add1992197e2c611",
"cross_cats_sorted": [
"cond-mat.mtrl-sci"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2025-05-09T23:06:55Z",
"title_canon_sha256": "75789e2a71b83f1e5671703ca3a9e649d7b04ddd532b45048646f2beb6af3241"
},
"schema_version": "1.0",
"source": {
"id": "2505.06462",
"kind": "arxiv",
"version": 2
}
}