Pith Number
pith:DLZLPKPW
pith:2020:DLZLPKPWI5QELTEMCBMB6GCLEF
not attested
not anchored
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refs pending
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations
arxiv:2006.06154 v3 · 2020-06-11 · physics.comp-ph · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DLZLPKPWI5QELTEMCBMB6GCLEF}
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Record completeness
1
Bitcoin timestamp
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Internet Archive
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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 | 2026-07-05T02:58:22.155845Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1af2b7a9f6476045cc8c10581f184b2150fe3aaf8fc886a94284a8746ba58ccd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DLZLPKPWI5QELTEMCBMB6GCLEF \
| 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: 1af2b7a9f6476045cc8c10581f184b2150fe3aaf8fc886a94284a8746ba58ccd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e648e49e7817224b4facf9eede5af8c0a8d8744911362388a86c2fb489906a0f",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2020-06-11T02:19:34Z",
"title_canon_sha256": "363786543f536c738ec0c36201c2f0dd400e3894321fcbdba3b86512420be25a"
},
"schema_version": "1.0",
"source": {
"id": "2006.06154",
"kind": "arxiv",
"version": 3
}
}