Pith Number
pith:WF5ILUTL
pith:2021:WF5ILUTLZLZDTU4MTXGTVD5E3K
not attested
not anchored
not stored
refs pending
Semantic segmentation of multispectral photoacoustic images using deep learning
arxiv:2105.09624 v3 · 2021-05-20 · eess.IV · cs.CV · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WF5ILUTLZLZDTU4MTXGTVD5E3K}
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 | 2026-07-05T04:15:09.034451Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b17a85d26bcaf239d38c9dcd3a8fa4dabb558918b2faf5d5f40b63c50b3f38b4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WF5ILUTLZLZDTU4MTXGTVD5E3K \
| 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: b17a85d26bcaf239d38c9dcd3a8fa4dabb558918b2faf5d5f40b63c50b3f38b4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7d686686fc4dc4e1cb319bedbe7ca88ff6cf89654d2dbafe34f78d790075b05",
"cross_cats_sorted": [
"cs.CV",
"physics.med-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-05-20T09:33:55Z",
"title_canon_sha256": "461f2dbee1eef477783a5d7e011a6baa74e1af6ef9dce6e882a54ba6824e162c"
},
"schema_version": "1.0",
"source": {
"id": "2105.09624",
"kind": "arxiv",
"version": 3
}
}