Pith Number
pith:UIL33VZZ
pith:2018:UIL33VZZYQC3ZPVMBURIQFMCLT
not attested
not anchored
not stored
refs pending
NeuralDrop: DNN-based Simulation of Small-Scale Liquid Flows on Solids
arxiv:1811.02517 v1 · 2018-11-06 · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UIL33VZZYQC3ZPVMBURIQFMCLT}
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
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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 | 2026-05-18T00:01:24.023382Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a217bdd739c405bcbeac0d228815825cc203091d796948004d74584a99f979cd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UIL33VZZYQC3ZPVMBURIQFMCLT \
| 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: a217bdd739c405bcbeac0d228815825cc203091d796948004d74584a99f979cd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6cea9d435da8e1776e9e9dea2d47c9e273d146325fbb6defb04d9fddedec7319",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.GR",
"submitted_at": "2018-11-06T17:37:25Z",
"title_canon_sha256": "1974441a9353b731a54f2a0e3c01f251d07f34030a80a559b53530ff6a373bd0"
},
"schema_version": "1.0",
"source": {
"id": "1811.02517",
"kind": "arxiv",
"version": 1
}
}