Pith Number
pith:ZZWZWSMX
pith:2019:ZZWZWSMXW52RI2SGW6P33PO4UZ
not attested
not anchored
not stored
refs pending
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster
arxiv:1907.03958 v1 · 2019-07-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZZWZWSMXW52RI2SGW6P33PO4UZ}
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
· sign in to
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 | 2026-05-17T23:41:06.233231Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ce6d9b4997b775146a46b79fbdbddca657d4846a6c98cc480539c04a132e73fd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZZWZWSMXW52RI2SGW6P33PO4UZ \
| 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: ce6d9b4997b775146a46b79fbdbddca657d4846a6c98cc480539c04a132e73fd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4449fca7965413d0f97a68aa8f23f5826bb296fc516ae4124150ad85ebd45d20",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-07-09T03:23:32Z",
"title_canon_sha256": "f5e8903d3dceeb9bda7ef65a7f3d1a90d3002516be73b587cb63b295358a6822"
},
"schema_version": "1.0",
"source": {
"id": "1907.03958",
"kind": "arxiv",
"version": 1
}
}