Pith Number
pith:WEWDZ3KZ
pith:2018:WEWDZ3KZHNTNA2MNPDFTPLNZGB
not attested
not anchored
not stored
refs pending
Detecting Offensive Language in Tweets Using Deep Learning
arxiv:1801.04433 v1 · 2018-01-13 · cs.CL · cs.CY · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WEWDZ3KZHNTNA2MNPDFTPLNZGB}
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 | 2026-05-17T23:41:31.324343Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b12c3ced593b66d0698d78cb37adb93048ee5195a588633e46e2bf2c64193e56
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WEWDZ3KZHNTNA2MNPDFTPLNZGB \
| 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: b12c3ced593b66d0698d78cb37adb93048ee5195a588633e46e2bf2c64193e56
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7ced22eb22a64da3f54d444288700db20dd1568bf1dc019cf5c1b583f156380d",
"cross_cats_sorted": [
"cs.CY",
"cs.SI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-01-13T12:58:43Z",
"title_canon_sha256": "ce6d8cd336b4de984b6754bc3dc77a30410700ff73f4321842f746ce02c95377"
},
"schema_version": "1.0",
"source": {
"id": "1801.04433",
"kind": "arxiv",
"version": 1
}
}