Pith Number
pith:FQP6N5XR
pith:2024:FQP6N5XRBVW3YFITAVAM7KNXMO
not attested
not anchored
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refs pending
MinkUNeXt: Point Cloud-based Large-scale Place Recognition using 3D Sparse Convolutions
arxiv:2403.07593 v2 · 2024-03-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FQP6N5XRBVW3YFITAVAM7KNXMO}
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 | 2026-07-05T09:25:23.272294Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2c1fe6f6f10d6dbc15130540cfa9b7639e17cf30a6815a46495ba97420726032
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FQP6N5XRBVW3YFITAVAM7KNXMO \
| 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: 2c1fe6f6f10d6dbc15130540cfa9b7639e17cf30a6815a46495ba97420726032
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bc71ced9046e17b74e9baa8190fbc008b8001e6cddfdec735a0cc0e4cbee74d6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-03-12T12:25:54Z",
"title_canon_sha256": "d69e79d54c46bfe5d53d06f4d78f9b1da3e256f3f55dd05e662854dfad786dca"
},
"schema_version": "1.0",
"source": {
"id": "2403.07593",
"kind": "arxiv",
"version": 2
}
}