Pith Number
pith:5T2A6CBY
pith:2017:5T2A6CBYBENDJDOJKWWRRALHOK
not attested
not anchored
not stored
refs pending
Finding Euclidean Distance to a Convex Cone Generated by a Large Number of Discrete Points
arxiv:1704.06311 v1 · 2017-04-20 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5T2A6CBYBENDJDOJKWWRRALHOK}
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 | 2026-05-18T00:46:00.035559Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ecf40f0838091a348dc955ad1881677290378ee6cc549621c200560de473f1ab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5T2A6CBYBENDJDOJKWWRRALHOK \
| 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: ecf40f0838091a348dc955ad1881677290378ee6cc549621c200560de473f1ab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0d5b2668f3c5b0b107a9d859f23d5f6f542ec5e9059283f56452fdb991452bd8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2017-04-20T19:26:56Z",
"title_canon_sha256": "a111de0841a2e9b2e8f3907e6638bf07792f56c8a6d2ec43ac840decb23d0872"
},
"schema_version": "1.0",
"source": {
"id": "1704.06311",
"kind": "arxiv",
"version": 1
}
}