Pith Number
pith:JMDVECHS
pith:2018:JMDVECHS5KMDX6STIXTYREAVMZ
not attested
not anchored
not stored
refs pending
Efficient prediction of 3D electron densities using machine learning
arxiv:1811.06255 v1 · 2018-11-15 · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JMDVECHS5KMDX6STIXTYREAVMZ}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:00:38.209266Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4b075208f2ea983bfa5345e7889015665d6a4f235f313592432cf33944590f55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JMDVECHS5KMDX6STIXTYREAVMZ \
| 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: 4b075208f2ea983bfa5345e7889015665d6a4f235f313592432cf33944590f55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0419c8225cd5ec508838db3ede170aab80250e4e50ee7a7e2708ab689fc42990",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2018-11-15T09:39:49Z",
"title_canon_sha256": "66bc441eba64c1f0b8bf8ab0ce62af560a73a42f4302aa930abc1dfa091da41c"
},
"schema_version": "1.0",
"source": {
"id": "1811.06255",
"kind": "arxiv",
"version": 1
}
}