Pith Number
pith:QYS32N5V
pith:2018:QYS32N5VB6LRUAYPQS5CCUR7GF
not attested
not anchored
not stored
refs pending
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study
arxiv:1811.11843 v1 · 2018-11-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QYS32N5VB6LRUAYPQS5CCUR7GF}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-05-17T23:59:37.452723Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8625bd37b50f971a030f84ba21523f31476efae362e13c885243d5aa5a2ec075
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QYS32N5VB6LRUAYPQS5CCUR7GF \
| 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: 8625bd37b50f971a030f84ba21523f31476efae362e13c885243d5aa5a2ec075
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0b2e89af60e95d8d21995db60aebd20fb5547858ab71cb9fa5f3f80d6e625194",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-11-28T21:24:56Z",
"title_canon_sha256": "df9f1b0b4b09f6788e16f6902fe7dd121c5b7dcb821cb517fd7e751a7db24106"
},
"schema_version": "1.0",
"source": {
"id": "1811.11843",
"kind": "arxiv",
"version": 1
}
}