Pith Number
pith:HBH6HD6N
pith:2023:HBH6HD6N4MW5Y5FZKBN6KXKNQU
not attested
not anchored
not stored
refs pending
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection
arxiv:2306.01272 v3 · 2023-06-02 · cs.CV · cs.CR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HBH6HD6N4MW5Y5FZKBN6KXKNQU}
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 | 2026-07-05T08:21:39.321830Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
384fe38fcde32ddc74b9505be55d4d851fbc21c690c45547c51d6bf09ffba4b2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HBH6HD6N4MW5Y5FZKBN6KXKNQU \
| 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: 384fe38fcde32ddc74b9505be55d4d851fbc21c690c45547c51d6bf09ffba4b2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "be82df916ab22b19450d9a6790572fc00584b96dea8746bc1b84af1a5e803633",
"cross_cats_sorted": [
"cs.CR",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-06-02T05:11:27Z",
"title_canon_sha256": "245c857652f95620cf22082934882e700d4c1f98c60d4f67cc4bf150f2c3c11f"
},
"schema_version": "1.0",
"source": {
"id": "2306.01272",
"kind": "arxiv",
"version": 3
}
}