Pith Number
pith:GUECWEG7
pith:2019:GUECWEG76VVMI7W3EKBBMWDXM6
not attested
not anchored
not stored
refs pending
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
arxiv:1907.07653 v1 · 2019-07-17 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GUECWEG76VVMI7W3EKBBMWDXM6}
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
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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.
Receipt and verification
| First computed | 2026-05-17T23:40:21.398194Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
35082b10dff56ac47edb228216587767b88ef539efec39129a622aa8e443fb01
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GUECWEG76VVMI7W3EKBBMWDXM6 \
| 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: 35082b10dff56ac47edb228216587767b88ef539efec39129a622aa8e443fb01
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3b072d44c3a21e731c4fb619d3e4497b17fe9054a435070aee1605826130d3a4",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-07-17T17:33:13Z",
"title_canon_sha256": "d20cf4eeaa96b87f0ea1ea4b53f36329f4fabe491acbdc61090b0dea389484b7"
},
"schema_version": "1.0",
"source": {
"id": "1907.07653",
"kind": "arxiv",
"version": 1
}
}