Pith Number
pith:EKLKYHOC
pith:2018:EKLKYHOCM5BGG4NKDCM2IJ35FI
not attested
not anchored
not stored
refs pending
Recognition of an obstacle in a flow using artificial neural networks
arxiv:1812.04569 v1 · 2018-12-11 · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EKLKYHOCM5BGG4NKDCM2IJ35FI}
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
✓
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 | 2026-05-17T23:58:31.698423Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2296ac1dc267426371aa1899a4277d2a234334f3418fa48d9d429f1dd77ac3f7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EKLKYHOCM5BGG4NKDCM2IJ35FI \
| 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: 2296ac1dc267426371aa1899a4277d2a234334f3418fa48d9d429f1dd77ac3f7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d2eaedb46cffd5e9d762675b6d68e51c77c20239fb3d9d948f40eb8084158478",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2018-12-11T17:47:50Z",
"title_canon_sha256": "6ec2268e25690e521e37a701213766cb963bd254a325298937db21e7c6f90105"
},
"schema_version": "1.0",
"source": {
"id": "1812.04569",
"kind": "arxiv",
"version": 1
}
}