Pith Number
pith:K722YIWR
pith:2022:K722YIWRU4UTXXCC5E5FUI5AZO
not attested
not anchored
not stored
refs pending
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation
arxiv:2204.01712 v1 · 2022-04-02 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K722YIWRU4UTXXCC5E5FUI5AZO}
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 | 2026-07-05T04:11:32.604716Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57f5ac22d1a7293bdc42e93a5a23a0cb8f0bddb24ed99aa34ae8cc91bdfc5ec0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K722YIWRU4UTXXCC5E5FUI5AZO \
| 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: 57f5ac22d1a7293bdc42e93a5a23a0cb8f0bddb24ed99aa34ae8cc91bdfc5ec0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dad145ca9ce5b947115ba34b2854ee012d4c13de580015a960bb0485b6c2a2ed",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-04-02T23:50:29Z",
"title_canon_sha256": "7176ad4cd82260efbe573da2110d405417f0bb78053488506d4b754ff46b2aaf"
},
"schema_version": "1.0",
"source": {
"id": "2204.01712",
"kind": "arxiv",
"version": 1
}
}