Pith Number
pith:UDUGISQY
pith:2022:UDUGISQYLM3WXB54PNV6FUSYTC
not attested
not anchored
not stored
refs pending
A Method for Computing Inverse Parametric PDE Problems with Random-Weight Neural Networks
arxiv:2210.04338 v1 · 2022-10-09 · math.NA · cs.LG · cs.NA · physics.comp-ph · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UDUGISQYLM3WXB54PNV6FUSYTC}
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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 | 2026-07-05T06:25:13.963394Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a0e8644a185b376b87bc7b6be2d2589888eaf32041f43456fd7b70d965db7b38
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UDUGISQYLM3WXB54PNV6FUSYTC \
| 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: a0e8644a185b376b87bc7b6be2d2589888eaf32041f43456fd7b70d965db7b38
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "276bf17636fe3bf76fe278691ef5e586fcc8ee87012cb744973c5712c31279c7",
"cross_cats_sorted": [
"cs.LG",
"cs.NA",
"physics.comp-ph",
"physics.flu-dyn"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2022-10-09T20:06:08Z",
"title_canon_sha256": "6e2944c13d8b066e91668d1afb2f5d6f6f63ec06f96238f9769ea06c2cfc4794"
},
"schema_version": "1.0",
"source": {
"id": "2210.04338",
"kind": "arxiv",
"version": 1
}
}