Pith Number
pith:IZXCD5ZQ
pith:2018:IZXCD5ZQESPJQ3OBAZGJC73WXL
not attested
not anchored
not stored
refs pending
Data-driven prediction of unsteady flow fields over a circular cylinder using deep learning
arxiv:1804.06076 v3 · 2018-04-17 · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IZXCD5ZQESPJQ3OBAZGJC73WXL}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:09:23.249232Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
466e21f730249e986dc1064c917f76baf74e8899e6bea1d35c7b481d1626241c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IZXCD5ZQESPJQ3OBAZGJC73WXL \
| 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: 466e21f730249e986dc1064c917f76baf74e8899e6bea1d35c7b481d1626241c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c8ae5dc6f6f8c25b2b59ff2dcc77562a9c285d6b1f435c442e0ab78bad32922a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2018-04-17T07:04:40Z",
"title_canon_sha256": "31ead429112626a483d595c3759821c7b27f0e6ba53727836f749cf97980adee"
},
"schema_version": "1.0",
"source": {
"id": "1804.06076",
"kind": "arxiv",
"version": 3
}
}