Pith Number
pith:ECIN7EL7
pith:2023:ECIN7EL7BQL5GSQGE5PH3CUM5M
not attested
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MinkSORT: A 3D deep feature extractor using sparse convolutions to improve 3D multi-object tracking in greenhouse tomato plants
arxiv:2307.05219 v2 · 2023-07-11 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ECIN7EL7BQL5GSQGE5PH3CUM5M}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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 | 2026-07-05T09:51:28.568933Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2090df917f0c17d34a06275e7d8a8ceb2731b5f05c3175e4b036cf82b7786403
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ECIN7EL7BQL5GSQGE5PH3CUM5M \
| 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: 2090df917f0c17d34a06275e7d8a8ceb2731b5f05c3175e4b036cf82b7786403
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bb01728fe82f118919ff432a627c390dc99165a6878503af5307c242432f448b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2023-07-11T12:44:06Z",
"title_canon_sha256": "ab68220056526353a9c095632d28c9dc05b2387bd6a7fda7563a31a4b348a63c"
},
"schema_version": "1.0",
"source": {
"id": "2307.05219",
"kind": "arxiv",
"version": 2
}
}