Pith Number
pith:BOB3KNX3
pith:2016:BOB3KNX3UGSAENBUNG6457RCZX
not attested
not anchored
not stored
refs pending
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
arxiv:1610.07442 v2 · 2016-10-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BOB3KNX3UGSAENBUNG6457RCZX}
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.
Receipt and verification
| First computed | 2026-05-18T00:49:51.447285Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b83b536fba1a402343469bdcefe22cdfa0e6fafa955e6a0db5cd3eb36d087ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BOB3KNX3UGSAENBUNG6457RCZX \
| 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: 0b83b536fba1a402343469bdcefe22cdfa0e6fafa955e6a0db5cd3eb36d087ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a9851fcf997da1d36c30120dca7d3730f3ce6442ede4ce7ebe26cc25c130887f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-10-24T14:51:47Z",
"title_canon_sha256": "a7097f1a971647b596e84936269b61261589ecb702799bebc51c78de741c8ac7"
},
"schema_version": "1.0",
"source": {
"id": "1610.07442",
"kind": "arxiv",
"version": 2
}
}