Pith Number
pith:4OERQWC5
pith:2021:4OERQWC5FI6M7YSU673MWYNXB5
not attested
not anchored
not stored
refs pending
Error analysis for physics informed neural networks (PINNs) approximating Kolmogorov PDEs
arxiv:2106.14473 v2 · 2021-06-28 · math.NA · cs.LG · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4OERQWC5FI6M7YSU673MWYNXB5}
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.
Receipt and verification
| First computed | 2026-07-05T02:56:40.472758Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e38918585d2a3ccfe254f7f6cb61b70f70d9a37d9972d14f3a8d27c9418df9e4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4OERQWC5FI6M7YSU673MWYNXB5 \
| 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: e38918585d2a3ccfe254f7f6cb61b70f70d9a37d9972d14f3a8d27c9418df9e4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b29351d556af15c7d10c8a7875eb35ee98983e4221c6590932770540870b9799",
"cross_cats_sorted": [
"cs.LG",
"cs.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2021-06-28T08:37:56Z",
"title_canon_sha256": "5dbf8e87a40d3c00224ca01569667bed999aab9ce64f075e25f07d853d6c165e"
},
"schema_version": "1.0",
"source": {
"id": "2106.14473",
"kind": "arxiv",
"version": 2
}
}