Pith Number
pith:O7QIKJWO
pith:2018:O7QIKJWOFKJDE5RYOWWE5G3D2Y
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refs pending
An inverse scattering approach for geometric body generation: a machine learning perspective
arxiv:1809.11003 v1 · 2018-09-17 · cs.GR · cs.LG · math.NA · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O7QIKJWOFKJDE5RYOWWE5G3D2Y}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:04:33.629266Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
77e08526ce2a9232763875ac4e9b63d6338eee3672cb5483c5bffcb54a22ef1c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O7QIKJWOFKJDE5RYOWWE5G3D2Y \
| 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: 77e08526ce2a9232763875ac4e9b63d6338eee3672cb5483c5bffcb54a22ef1c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f4a7471b2c29bad415c141cdcf8b8630a13fde51b108961fb27dd8dcde65a7ab",
"cross_cats_sorted": [
"cs.LG",
"math.NA",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.GR",
"submitted_at": "2018-09-17T12:48:57Z",
"title_canon_sha256": "815d1c3435d5c47b30536b1cc525d8e6548101719d8ab79364749c9683472833"
},
"schema_version": "1.0",
"source": {
"id": "1809.11003",
"kind": "arxiv",
"version": 1
}
}