Pith Number
pith:KDTAYM7N
pith:2018:KDTAYM7NYA7D2R42TG3FMILMDO
not attested
not anchored
not stored
refs pending
Structured Neural Topic Models for Reviews
arxiv:1812.05035 v2 · 2018-12-12 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KDTAYM7NYA7D2R42TG3FMILMDO}
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 | 2026-05-17T23:57:07.225734Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
50e60c33edc03e3d479a99b656216c1bb95527381e0949e198200fa38afb10c3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KDTAYM7NYA7D2R42TG3FMILMDO \
| 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: 50e60c33edc03e3d479a99b656216c1bb95527381e0949e198200fa38afb10c3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e976b9872d045aae426cf27aa1a1e5fcd8ae6ff54e278bb46506de418b05e31a",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-12-12T17:12:58Z",
"title_canon_sha256": "aec790aee67dca15fb3bc1f4a8c46b34df326f2e3f0e832771481eeba2225d0d"
},
"schema_version": "1.0",
"source": {
"id": "1812.05035",
"kind": "arxiv",
"version": 2
}
}