Pith Number
pith:CJ2YVCWR
pith:2017:CJ2YVCWR6MFZKIYZAGJQRTX32Z
not attested
not anchored
not stored
refs pending
Machine Learning Based Detection of Clickbait Posts in Social Media
arxiv:1710.01977 v1 · 2017-10-05 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CJ2YVCWR6MFZKIYZAGJQRTX32Z}
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 | 2026-05-18T00:33:37.927493Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
12758a8ad1f30b952319019308cefbd64ac51d20404d4274ddeb2e6d02e49a7f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CJ2YVCWR6MFZKIYZAGJQRTX32Z \
| 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: 12758a8ad1f30b952319019308cefbd64ac51d20404d4274ddeb2e6d02e49a7f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9b46edb932d25a6347027c5f438581dbe5da199d4d016163b655c5ad3cdec0b8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-10-05T11:54:34Z",
"title_canon_sha256": "ef876f6f0de645acfb13e026493459eb8d58166ad6236b45b420d853b028f6f8"
},
"schema_version": "1.0",
"source": {
"id": "1710.01977",
"kind": "arxiv",
"version": 1
}
}