Pith Number
pith:PREUXZIS
pith:2018:PREUXZISHRFOOPGDL637TEDSXF
not attested
not anchored
not stored
refs pending
Using Neural Network for Identifying Clickbaits in Online News Media
arxiv:1806.07713 v1 · 2018-06-20 · cs.CL · cs.CY · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PREUXZISHRFOOPGDL637TEDSXF}
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 | 2026-05-18T00:12:46.888195Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7c494be5123c4ae73cc35fb7f99072b95c4f92124aa4a7ab95ccadc19db920e8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PREUXZISHRFOOPGDL637TEDSXF \
| 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: 7c494be5123c4ae73cc35fb7f99072b95c4f92124aa4a7ab95ccadc19db920e8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c3110781ebb102a369a418ad0b5ace7a90342df3a80feb0346ca4c72fd688028",
"cross_cats_sorted": [
"cs.CY",
"cs.IR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-06-20T13:21:53Z",
"title_canon_sha256": "b58d7fa8d59c013916423dabaef52157f406a2cda7b6c969c9e38aa2b9d92384"
},
"schema_version": "1.0",
"source": {
"id": "1806.07713",
"kind": "arxiv",
"version": 1
}
}