Pith Number
pith:XZWFRT4R
pith:2019:XZWFRT4RHP6M7TNUGIKO4UIMQJ
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Spatio-Temporal Deep Learning Models for Tip Force Estimation During Needle Insertion
arxiv:1905.09282 v1 · 2019-05-22 · eess.IV · cs.CV
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\usepackage{pith}
\pithnumber{XZWFRT4RHP6M7TNUGIKO4UIMQJ}
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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 | 2026-05-17T23:45:19.693751Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be6c58cf913bfccfcdb43214ee510c8270a22f57f4ba65056fef0c16e0d605a9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XZWFRT4RHP6M7TNUGIKO4UIMQJ \
| 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: be6c58cf913bfccfcdb43214ee510c8270a22f57f4ba65056fef0c16e0d605a9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7159f4e1a325ead47142f269d4eb748efcb5118818261b52bcd5b0ec99a2f644",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-05-22T15:45:50Z",
"title_canon_sha256": "89faabee526fe35db76df65a30fec40ae5b31ea320b9151147cb190f38519e58"
},
"schema_version": "1.0",
"source": {
"id": "1905.09282",
"kind": "arxiv",
"version": 1
}
}