Pith Number
pith:6DNXNHQF
pith:2018:6DNXNHQFL4SPQICJTPQ26YWORV
not attested
not anchored
not stored
refs pending
Approximating the solution to wave propagation using deep neural networks
arxiv:1812.01609 v1 · 2018-12-04 · physics.comp-ph · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6DNXNHQFL4SPQICJTPQ26YWORV}
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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 | 2026-05-17T23:59:01.056886Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0db769e055f24f820499be1af62ce8d46e046c7cece5e07178cf055ff94866a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6DNXNHQFL4SPQICJTPQ26YWORV \
| 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: f0db769e055f24f820499be1af62ce8d46e046c7cece5e07178cf055ff94866a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6447391aec508806cef5c77e82ebb86a67979dfc7aa98072a4b505128227a5d9",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2018-12-04T16:32:01Z",
"title_canon_sha256": "ace2ef80c511a1f382f6d01ee903ade2d15ce7a9f49a7ed22d2156b259967b03"
},
"schema_version": "1.0",
"source": {
"id": "1812.01609",
"kind": "arxiv",
"version": 1
}
}