Pith Number
pith:BSHI4FD7
pith:2019:BSHI4FD75ZFSSHID56EAYF5MB3
not attested
not anchored
not stored
refs pending
Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning
arxiv:1907.11704 v1 · 2019-07-25 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BSHI4FD75ZFSSHID56EAYF5MB3}
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
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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 | 2026-05-17T23:39:23.327071Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c8e8e147fee4b291d03ef880c17ac0effabd492c21327877c87766156104dae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BSHI4FD75ZFSSHID56EAYF5MB3 \
| 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: 0c8e8e147fee4b291d03ef880c17ac0effabd492c21327877c87766156104dae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "618c48ee7c2558d70e0aebcfd015b7d9a5d11f2b9ab698325cd3c5897f76f3af",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-07-25T21:00:29Z",
"title_canon_sha256": "e9d7414d10f001d549f76f4fa54d4a9b1510c7882b8a80116f9cb8cfc0e31c18"
},
"schema_version": "1.0",
"source": {
"id": "1907.11704",
"kind": "arxiv",
"version": 1
}
}