Pith Number
pith:BWAFUGXE
pith:2021:BWAFUGXEKCCULNSZGL34ZBSMDZ
not attested
not anchored
not stored
refs pending
Physics Informed Neural Networks (PINNs)for approximating nonlinear dispersive PDEs
arxiv:2104.05584 v2 · 2021-04-12 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BWAFUGXEKCCULNSZGL34ZBSMDZ}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T04:24:21.657277Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d805a1ae4508545b65932f7cc864c1e792f5c92333ae4f0ddfdb977662bfc87
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BWAFUGXEKCCULNSZGL34ZBSMDZ \
| 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: 0d805a1ae4508545b65932f7cc864c1e792f5c92333ae4f0ddfdb977662bfc87
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1f9dcc8bc514b86a6913ac002ade6f07ae417e20682187e7379ddff2a9b97e34",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2021-04-12T15:56:26Z",
"title_canon_sha256": "9161ecee89a48d511770e760d1bb2651265e0c98caf4551cce78ec1301eadad7"
},
"schema_version": "1.0",
"source": {
"id": "2104.05584",
"kind": "arxiv",
"version": 2
}
}