Pith Number
pith:AXFCUDNG
pith:2023:AXFCUDNGSCG5W633OY2OIU2F5B
not attested
not anchored
not stored
refs pending
Can Physics-Informed Neural Networks beat the Finite Element Method?
arxiv:2302.04107 v1 · 2023-02-08 · math.NA · cs.LG · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AXFCUDNGSCG5W633OY2OIU2F5B}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:40:01.137272Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
05ca2a0da6908ddb7b7b7634e45345e8514c698c0a2cedc02c99850562cebaca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AXFCUDNGSCG5W633OY2OIU2F5B \
| 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: 05ca2a0da6908ddb7b7b7634e45345e8514c698c0a2cedc02c99850562cebaca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "271ab2d24b69838b44dbb2241935f774ff4507daf551cba2df070b47695c4fad",
"cross_cats_sorted": [
"cs.LG",
"cs.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2023-02-08T15:01:21Z",
"title_canon_sha256": "2a01519b5ca333a8019614cb8cd86be6b1d053ba2fec22c920e023ad41767d1e"
},
"schema_version": "1.0",
"source": {
"id": "2302.04107",
"kind": "arxiv",
"version": 1
}
}