Pith Number
pith:SYE6I4DG
pith:2022:SYE6I4DGBYWPCTGA5ED4HTMW2R
not attested
not anchored
not stored
refs pending
Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-fine Localization and Classification
arxiv:2203.08408 v1 · 2022-03-16 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SYE6I4DGBYWPCTGA5ED4HTMW2R}
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 | 2026-07-05T04:05:44.284944Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9609e470660e2cf14cc0e907c3cd96d44ee81b353433de074a59fa87fd73ad4b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SYE6I4DGBYWPCTGA5ED4HTMW2R \
| 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: 9609e470660e2cf14cc0e907c3cd96d44ee81b353433de074a59fa87fd73ad4b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "43343145244b50c0cd6c8e5fa6f9cb3be033190c1006168ef3a9bd0f9c97908d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-03-16T05:51:16Z",
"title_canon_sha256": "9cd1c89983d9415d2743516867c7db6ec5955e0312eea9a49496e054e13b3253"
},
"schema_version": "1.0",
"source": {
"id": "2203.08408",
"kind": "arxiv",
"version": 1
}
}