Pith Number
pith:7BAGU54S
pith:2017:7BAGU54SS7ZH2JEFSUAZLBSYXC
not attested
not anchored
not stored
refs pending
The TensorMol-0.1 Model Chemistry: a Neural Network Augmented with Long-Range Physics
arxiv:1711.06385 v2 · 2017-11-17 · physics.chem-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7BAGU54SS7ZH2JEFSUAZLBSYXC}
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 | 2026-05-18T00:30:11.094263Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f8406a779297f27d24859501958658b880d2d226cd3d7c903ab170929c2f5e3f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7BAGU54SS7ZH2JEFSUAZLBSYXC \
| 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: f8406a779297f27d24859501958658b880d2d226cd3d7c903ab170929c2f5e3f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a55c4fa19a95ebadc36c1876477ad332033bc6e640e1382bea538ada18284136",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2017-11-17T03:28:48Z",
"title_canon_sha256": "4db5c6f3f00285bea0c68bd2aff3279a08697faca54c0c0423e6c7ffe9dee5af"
},
"schema_version": "1.0",
"source": {
"id": "1711.06385",
"kind": "arxiv",
"version": 2
}
}