Pith Number
pith:OG2P3XSB
pith:2018:OG2P3XSBDNNNSJMGNEPHWQQOWK
not attested
not anchored
not stored
refs pending
Classification of Machine Learning Frameworks for Data-Driven Thermal Fluid Models
arxiv:1801.06621 v2 · 2018-01-20 · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OG2P3XSBDNNNSJMGNEPHWQQOWK}
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 | 2026-05-18T00:01:30.203404Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
71b4fdde411b5ad92586691e7b420eb2825e1cdd50137f7d4b3913ba38d9737c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OG2P3XSBDNNNSJMGNEPHWQQOWK \
| 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: 71b4fdde411b5ad92586691e7b420eb2825e1cdd50137f7d4b3913ba38d9737c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2bdf555b913dec71f334196cc2acd8683b7ff1e0b71dc928354c6028e3ce4144",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2018-01-20T03:55:23Z",
"title_canon_sha256": "34d59069c91e30ea97c01cfb81aa2cb51ade03244cb96989593f8ba36a1a2538"
},
"schema_version": "1.0",
"source": {
"id": "1801.06621",
"kind": "arxiv",
"version": 2
}
}