Pith Number
pith:B3B3FDZF
pith:2018:B3B3FDZF6OHPZE24NLU2JXER3D
not attested
not anchored
not stored
refs pending
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification
arxiv:1808.05110 v1 · 2018-08-15 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B3B3FDZF6OHPZE24NLU2JXER3D}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:08:01.597297Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ec3b28f25f38efc935c6ae9a4dc91d8d7f5ba3620d90821f2519b50fb4cf1ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B3B3FDZF6OHPZE24NLU2JXER3D \
| 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: 0ec3b28f25f38efc935c6ae9a4dc91d8d7f5ba3620d90821f2519b50fb4cf1ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "513e9b6fd5c9137d89a22571f0eb4e0a7a18c3f93e10a5bfef340eeb849bd50f",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-08-15T14:54:44Z",
"title_canon_sha256": "647c32ca0c1f2083a3b14943420b8f37bf73b1832556fae3ae63f3e4708ff28e"
},
"schema_version": "1.0",
"source": {
"id": "1808.05110",
"kind": "arxiv",
"version": 1
}
}