Pith Number
pith:UNVMOGOF
pith:2019:UNVMOGOFTT5JDQRXVAA3FHFZWN
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Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video
arxiv:1907.11454 v1 · 2019-07-26 · cs.CV · cs.LG
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\usepackage{pith}
\pithnumber{UNVMOGOFTT5JDQRXVAA3FHFZWN}
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Record completeness
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Bitcoin timestamp
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4
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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 | 2026-05-17T23:39:29.034664Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a36ac719c59cfa91c237a801b29cb9b352d4aebb72c40c626df859c558a44e22
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UNVMOGOFTT5JDQRXVAA3FHFZWN \
| 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: a36ac719c59cfa91c237a801b29cb9b352d4aebb72c40c626df859c558a44e22
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1aafc6b284c3464f5dad9c05dcd818b2bfdc1d1bff1af24edd78fcccc60dfde2",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-07-26T09:34:09Z",
"title_canon_sha256": "2d7dee8de54d28527a2ae4b4544edb7a3a5ad92cd0855c5f91358fd683efd497"
},
"schema_version": "1.0",
"source": {
"id": "1907.11454",
"kind": "arxiv",
"version": 1
}
}