Pith Number
pith:VNZQACHV
pith:2024:VNZQACHVFXHCDTE4GJGRZSD33K
not attested
not anchored
not stored
refs pending
TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping
arxiv:2407.15500 v4 · 2024-07-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VNZQACHVFXHCDTE4GJGRZSD33K}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:01:34.737022Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ab730008f52dce21cc9c324d1cc87bdab246a8879a40137590db912c58b0f0b3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VNZQACHVFXHCDTE4GJGRZSD33K \
| 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: ab730008f52dce21cc9c324d1cc87bdab246a8879a40137590db912c58b0f0b3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "57ba51bfd01b775bfa96418c744a8cbae280bb9765f5a6e2de1954590cf5a3c2",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-07-22T09:31:30Z",
"title_canon_sha256": "1a0e4f2b7c676a5f7ba5152b713941f8729060aba972b97ea2014647a0fc5905"
},
"schema_version": "1.0",
"source": {
"id": "2407.15500",
"kind": "arxiv",
"version": 4
}
}