Pith Number
pith:42WALJTU
pith:2017:42WALJTUHZ6TPYUZXQFK7ZR2JU
not attested
not anchored
not stored
refs pending
Co-training for Demographic Classification Using Deep Learning from Label Proportions
arxiv:1709.04108 v1 · 2017-09-13 · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{42WALJTUHZ6TPYUZXQFK7ZR2JU}
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 | 2026-05-18T00:27:04.463660Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e6ac05a6743e7d37e299bc0aafe63a4d0820d999b37d3654fd729f5887e2e667
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/42WALJTUHZ6TPYUZXQFK7ZR2JU \
| 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: e6ac05a6743e7d37e299bc0aafe63a4d0820d999b37d3654fd729f5887e2e667
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4c3941ebadc8d87ea6a3e2017369aae60331459341868d12df3bf8a0ea5c1225",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-09-13T02:06:19Z",
"title_canon_sha256": "ba8366ed124072cbd55d27875c3a2c8e128b8f9089fcb46fd9e45af39d0a3913"
},
"schema_version": "1.0",
"source": {
"id": "1709.04108",
"kind": "arxiv",
"version": 1
}
}