Pith Number
pith:DXHJYJKN
pith:2024:DXHJYJKNAJTMIYJ7KCT4IT2RQK
not attested
not anchored
not stored
refs pending
Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices
arxiv:2407.07605 v3 · 2024-07-10 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DXHJYJKNAJTMIYJ7KCT4IT2RQK}
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 | 2026-07-05T09:01:03.811265Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1dce9c254d0266c4613f50a7c44f51829da3557f5f8178f6c0b34f40ee67d84b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DXHJYJKNAJTMIYJ7KCT4IT2RQK \
| 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: 1dce9c254d0266c4613f50a7c44f51829da3557f5f8178f6c0b34f40ee67d84b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7fcce25337450f607ac198ef813c12b7fc17b89b134abc5c31e8d86795a07ba9",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-07-10T12:44:22Z",
"title_canon_sha256": "fdbe009c41be3e7b55fce49e3ad82438702e64f60054f5c8a8ec74cef9695892"
},
"schema_version": "1.0",
"source": {
"id": "2407.07605",
"kind": "arxiv",
"version": 3
}
}