Pith Number
pith:TD5G4RBS
pith:2026:TD5G4RBS2CFBCA34XGMMVJWTDV
not attested
not anchored
not stored
refs pending
Separating Clicks from Baits: Using Large Language Models to Detect Misleading YouTube Thumbnails
arxiv:2607.23739 v1 · 2026-07-26 · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TD5G4RBS2CFBCA34XGMMVJWTDV}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-07-28T01:23:08.355812Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
98fa6e4432d08a11037cb998caa6d31d6ece41c2257ff83e1075b41c93582212
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TD5G4RBS2CFBCA34XGMMVJWTDV \
| 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: 98fa6e4432d08a11037cb998caa6d31d6ece41c2257ff83e1075b41c93582212
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "977c99574bc6122824c928747eaa105606a118fc409b4854a55d271dc7227250",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SI",
"submitted_at": "2026-07-26T16:25:43Z",
"title_canon_sha256": "36e7d3422a0c55b7520b8d8c4615bca786e5f34b864b258e17d1c10eacee7e1b"
},
"schema_version": "1.0",
"source": {
"id": "2607.23739",
"kind": "arxiv",
"version": 1
}
}