Pith Number
pith:W4WZSI65
pith:2024:W4WZSI652PJUA7WSYG6FSJU4JO
not attested
not anchored
not stored
refs pending
Thermodynamic Transferability in Coarse-Grained Force Fields using Graph Neural Networks
arxiv:2406.12112 v2 · 2024-06-17 · physics.chem-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W4WZSI652PJUA7WSYG6FSJU4JO}
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 | 2026-07-05T09:36:45.992998Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b72d9923ddd3d3407ed2c1bc59269c4b83f77708ce72000a90ec67cc0a3e777a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W4WZSI652PJUA7WSYG6FSJU4JO \
| 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: b72d9923ddd3d3407ed2c1bc59269c4b83f77708ce72000a90ec67cc0a3e777a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8881f7aabcd029f72a614c45002e115488c177d7b43c626e19a6b3ac1d43216f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2024-06-17T21:44:05Z",
"title_canon_sha256": "dee54855e6280269dc3a5ec6d322c7bfc0ee5fadd694511aad2221d28019ed9f"
},
"schema_version": "1.0",
"source": {
"id": "2406.12112",
"kind": "arxiv",
"version": 2
}
}