Pith Number
pith:C5XMJ2P7
pith:2025:C5XMJ2P7JHI3M7H3EMJ32JJ5QX
not attested
not anchored
not stored
refs pending
Illicit object detection in X-ray imaging using deep learning techniques: A comparative evaluation
arxiv:2507.17508 v1 · 2025-07-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{C5XMJ2P7JHI3M7H3EMJ32JJ5QX}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T11:42:09.089395Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
176ec4e9ff49d1b67cfb2313bd253d85e6e9fff0322f41a1993787fcb01281f6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/C5XMJ2P7JHI3M7H3EMJ32JJ5QX \
| 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: 176ec4e9ff49d1b67cfb2313bd253d85e6e9fff0322f41a1993787fcb01281f6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fe9e31cde706c7d27c50792d625dc917deef0a7f9dcf29530caef6e45c6d9e35",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-23T13:47:33Z",
"title_canon_sha256": "c90ef4ddfeab68b021cee3730aa20e7927646b14756a721616bff606db3173d9"
},
"schema_version": "1.0",
"source": {
"id": "2507.17508",
"kind": "arxiv",
"version": 1
}
}