Pith Number
pith:RSFPWD3S
pith:2019:RSFPWD3SUD2M22BAIXLRWBX3KR
not attested
not anchored
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refs pending
Symmetry-Adapted High Dimensional Neural Network Representation of Electronic Friction Tensor of Adsorbates on Metals
arxiv:1910.09774 v2 · 2019-10-22 · physics.chem-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RSFPWD3SUD2M22BAIXLRWBX3KR}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T00:27:19.411427Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8c8afb0f72a0f4cd682045d71b06fb5465a2e4e28b6ac6c242a0c651f8c25da8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RSFPWD3SUD2M22BAIXLRWBX3KR \
| 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: 8c8afb0f72a0f4cd682045d71b06fb5465a2e4e28b6ac6c242a0c651f8c25da8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "34fdd3cd8a6745f81799897c170efde66b526d983399ee58e930af52c83e22ee",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2019-10-22T05:40:08Z",
"title_canon_sha256": "05e4ac2289b788a9ec449769d01213f567c6186b155f4c4ef4675eaedc61914c"
},
"schema_version": "1.0",
"source": {
"id": "1910.09774",
"kind": "arxiv",
"version": 2
}
}