Pith Number
pith:LD2OLONJ
pith:2024:LD2OLONJDURU5WBYVBJFJT6U6C
not attested
not anchored
not stored
refs pending
A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases
arxiv:2410.20293 v4 · 2024-10-26 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LD2OLONJDURU5WBYVBJFJT6U6C}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T11:25:04.862440Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
58f4e5b9a91d234ed838a85254cfd4f0a845d641c05cd8396442ec319ec026b3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LD2OLONJDURU5WBYVBJFJT6U6C \
| 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: 58f4e5b9a91d234ed838a85254cfd4f0a845d641c05cd8396442ec319ec026b3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6e32ea962b34f0545dd372009b7eff17205d72fa205e35d21fe2481594fc1274",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-26T23:55:50Z",
"title_canon_sha256": "e293b0cdac89c7df3257358d6a32bc1fba8ca40d8c8f9e1a1b0479cc7419ec9c"
},
"schema_version": "1.0",
"source": {
"id": "2410.20293",
"kind": "arxiv",
"version": 4
}
}