Pith Number
pith:NEF7FVSH
pith:2023:NEF7FVSHG5SC2LVM3KNOZRPQRD
not attested
not anchored
not stored
refs pending
Partitioned neural network approximation for partial differential equations enhanced with Lagrange multipliers and localized loss functions
arxiv:2312.14370 v1 · 2023-12-22 · math.NA · cs.NA · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NEF7FVSHG5SC2LVM3KNOZRPQRD}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:27:14.219858Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
690bf2d64737642d2eacda9aecc5f088e07de463bfc9eaa321556aa625eb19d0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NEF7FVSHG5SC2LVM3KNOZRPQRD \
| 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: 690bf2d64737642d2eacda9aecc5f088e07de463bfc9eaa321556aa625eb19d0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fae69d0309212e3723f94254aa92447e02fbe2ab21c6d73cead5f0d9da3a3a12",
"cross_cats_sorted": [
"cs.NA",
"physics.comp-ph"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "math.NA",
"submitted_at": "2023-12-22T01:44:57Z",
"title_canon_sha256": "8d72bff0b05d1e7a69de2f36e4b4b2b03caf87f4a3b0a5e9eac8c074f5dc8f2e"
},
"schema_version": "1.0",
"source": {
"id": "2312.14370",
"kind": "arxiv",
"version": 1
}
}