Pith Number
pith:6HIE5PD7
pith:2019:6HIE5PD75BLZP4VBE7Z336PPNY
not attested
not anchored
not stored
refs pending
Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images
arxiv:1909.12612 v1 · 2019-09-27 · cs.CV · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6HIE5PD75BLZP4VBE7Z336PPNY}
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
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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 | 2026-07-05T00:07:41.532919Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f1d04ebc7fe85797f2a127f3bdf9ef6e16537042942bfa8c80837e5f3150bbfa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6HIE5PD75BLZP4VBE7Z336PPNY \
| 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: f1d04ebc7fe85797f2a127f3bdf9ef6e16537042942bfa8c80837e5f3150bbfa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "92063427baed961847a56ea5d40d0a1e4484ea4a6b74f75c343a54d10430f566",
"cross_cats_sorted": [
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-09-27T10:55:24Z",
"title_canon_sha256": "97e41ab4531f6975b733ee966ab65d44fd76234315d0a9bdebc62ae4950e0678"
},
"schema_version": "1.0",
"source": {
"id": "1909.12612",
"kind": "arxiv",
"version": 1
}
}