Pith Number
pith:7LG6VGBE
pith:2016:7LG6VGBE47ZZIGASWJBLTSWQ32
not attested
not anchored
not stored
refs pending
Are Word Embedding-based Features Useful for Sarcasm Detection?
arxiv:1610.00883 v1 · 2016-10-04 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7LG6VGBE47ZZIGASWJBLTSWQ32}
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 | 2026-05-18T01:03:13.003156Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
facdea9824e7f3941812b242b9cad0de97d925eeafd65aaf17f37bd1be2d72d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7LG6VGBE47ZZIGASWJBLTSWQ32 \
| 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: facdea9824e7f3941812b242b9cad0de97d925eeafd65aaf17f37bd1be2d72d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7ce6799112566bd70e07ff3b3235c520d9f7497fe2ecec46ee6189dc6c6ef47d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2016-10-04T07:50:06Z",
"title_canon_sha256": "e4875cf2be8b28ae6b7cb426e2ee93176b3962053a131bd8be0f6e441ce10c89"
},
"schema_version": "1.0",
"source": {
"id": "1610.00883",
"kind": "arxiv",
"version": 1
}
}