Pith Number
pith:GCENAA3X
pith:2017:GCENAA3XLZ63HM3KVMM7ALGE3U
not attested
not anchored
not stored
refs pending
Stochastic geometric models with non-stationary spatial correlations in Lagrangian fluid flows
arxiv:1703.06774 v2 · 2017-03-20 · nlin.CD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GCENAA3XLZ63HM3KVMM7ALGE3U}
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.
Receipt and verification
| First computed | 2026-05-18T00:02:53.445553Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3088d003775e7db3b36aab19f02cc4dd3821783fdc795510a5797148a1a20e0c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GCENAA3XLZ63HM3KVMM7ALGE3U \
| 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: 3088d003775e7db3b36aab19f02cc4dd3821783fdc795510a5797148a1a20e0c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e5fdd0f90214b56619989085034db8caa93eb9dd635eed5e1e52c350dd3cd4ab",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "nlin.CD",
"submitted_at": "2017-03-20T14:38:09Z",
"title_canon_sha256": "299fbddf2ba73ec5e840c2620fd4ed1269deae6a2234b00d87578ad488038fcd"
},
"schema_version": "1.0",
"source": {
"id": "1703.06774",
"kind": "arxiv",
"version": 2
}
}