Pith Number
pith:K3LGCJVF
pith:2024:K3LGCJVFQQGXLJ2NFIEXZFSPTY
not attested
not anchored
not stored
refs pending
Systematic Literature Review: Computational Approaches for Humour Style Classification
arxiv:2402.01759 v1 · 2024-01-30 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K3LGCJVFQQGXLJ2NFIEXZFSPTY}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:41:06.368330Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
56d66126a5840d75a74d2a097c964f9e3b3f381c4b79b55fefae32c618ae7ad3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K3LGCJVFQQGXLJ2NFIEXZFSPTY \
| 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: 56d66126a5840d75a74d2a097c964f9e3b3f381c4b79b55fefae32c618ae7ad3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a5cc67b6273f54a6314eb8a45f812b02f54fc5b8e4af41ff37562ebda30c6174",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-01-30T16:21:47Z",
"title_canon_sha256": "cb19462d0de21398b26b208558f95aa989773467d79de406dbc0af0a7a061c64"
},
"schema_version": "1.0",
"source": {
"id": "2402.01759",
"kind": "arxiv",
"version": 1
}
}