Pith Number
pith:PGIM6Q4A
pith:2026:PGIM6Q4AEPAUYQIFQ7NEN4EWLI
not attested
not anchored
not stored
refs pending
Detecting AI-Generated Content on Social Media with Multi-modal Language Models
arxiv:2606.11200 v1 · 2026-04-21 · cs.CL · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PGIM6Q4AEPAUYQIFQ7NEN4EWLI}
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 | 2026-06-11T00:08:06.125691Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7990cf438023c14c410587da46f0965a236f26abbce40684912793d5df86ab50
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PGIM6Q4AEPAUYQIFQ7NEN4EWLI \
| 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: 7990cf438023c14c410587da46f0965a236f26abbce40684912793d5df86ab50
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "de09c439f00110021a9090eb41a63d76c4780290bf502fea47a542efdb649975",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-04-21T20:05:02Z",
"title_canon_sha256": "af448ca9a265dd6b36e21f03548c5b627c1b502b12d5d2a3a8d8288172442f37"
},
"schema_version": "1.0",
"source": {
"id": "2606.11200",
"kind": "arxiv",
"version": 1
}
}