Pith Number
pith:2LDMO7XU
pith:2025:2LDMO7XU36XRQBSZPY7ARSCL7G
not attested
not anchored
not stored
refs pending
VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models
arxiv:2503.06142 v1 · 2025-03-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2LDMO7XU36XRQBSZPY7ARSCL7G}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:26:55.136843Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d2c6c77ef4dfaf1806597e3e08c84bf9bec20e2fe8312b75eff46a2d4e3c264f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2LDMO7XU36XRQBSZPY7ARSCL7G \
| 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: d2c6c77ef4dfaf1806597e3e08c84bf9bec20e2fe8312b75eff46a2d4e3c264f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c9fed4662f0d50dfc866acfd61eb1525b5fa877fbca08bfc10445a82d3e71110",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-03-08T09:55:19Z",
"title_canon_sha256": "11a245509fbe8bfec153c96f9f84f1a4f5ef8613e8afdfb7ca1518d9dac6d29b"
},
"schema_version": "1.0",
"source": {
"id": "2503.06142",
"kind": "arxiv",
"version": 1
}
}