Pith Number
pith:35IXOEAY
pith:2021:35IXOEAY4LR7XIWUZGE3ARGBNA
not attested
not anchored
not stored
refs pending
Numerical Approximation in CFD Problems Using Physics Informed Machine Learning
arxiv:2111.02987 v1 · 2021-11-01 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{35IXOEAY4LR7XIWUZGE3ARGBNA}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:29:11.230269Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
df51771018e2e3fba2d4c989b044c16833c29e0ea7bce12818734223d4265a58
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/35IXOEAY4LR7XIWUZGE3ARGBNA \
| 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: df51771018e2e3fba2d4c989b044c16833c29e0ea7bce12818734223d4265a58
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b3fa8c9e2dcdcede5893503fffc444aab66061df04244e25fa271f96703a962a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-11-01T22:54:51Z",
"title_canon_sha256": "cc0f77c17b26a73f623b7bf8da2624e33eabb477e965c181f4610ffa9d1bb319"
},
"schema_version": "1.0",
"source": {
"id": "2111.02987",
"kind": "arxiv",
"version": 1
}
}