Pith Number
pith:VBJMKPOW
pith:2023:VBJMKPOWDY2K3JA56CTRTANXU2
not attested
not anchored
not stored
refs pending
Enhanced physics-informed neural networks with domain scaling and residual correction methods for multi-frequency elliptic problems
arxiv:2311.03746 v1 · 2023-11-07 · math.NA · cs.LG · cs.NA · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VBJMKPOWDY2K3JA56CTRTANXU2}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T07:10:04.299331Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a852c53dd61e34ada41df0a71981b7a6aad30bda1a30dce3c7d5363d869a13b7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VBJMKPOWDY2K3JA56CTRTANXU2 \
| 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: a852c53dd61e34ada41df0a71981b7a6aad30bda1a30dce3c7d5363d869a13b7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af5e2d6c0d56984299851219ef6de9610aa3dbc7e7e27eb23bc8ab3d9a7c11f8",
"cross_cats_sorted": [
"cs.LG",
"cs.NA",
"physics.comp-ph"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "math.NA",
"submitted_at": "2023-11-07T06:08:47Z",
"title_canon_sha256": "b42bbc5b02f264c3cb997e78d8159d3983f79cefec9864b96eae4eaae8bfc937"
},
"schema_version": "1.0",
"source": {
"id": "2311.03746",
"kind": "arxiv",
"version": 1
}
}