Pith Number
pith:FDWMD2BY
pith:2023:FDWMD2BYV4LW7VUZIW6FSLRWVH
not attested
not anchored
not stored
refs pending
PAC Learning Linear Thresholds from Label Proportions
arxiv:2310.10098 v1 · 2023-10-16 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FDWMD2BYV4LW7VUZIW6FSLRWVH}
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 | 2026-07-05T07:01:15.284386Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28ecc1e838af176fd69945bc592e36a9d3dec87285edc45bf893b7262a0acd7b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FDWMD2BYV4LW7VUZIW6FSLRWVH \
| 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: 28ecc1e838af176fd69945bc592e36a9d3dec87285edc45bf893b7262a0acd7b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5cb2a7df35e0f48b0493faf9c1a8baa9136693e3e2e0af7ef35dc1e255d2fb65",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-16T05:59:34Z",
"title_canon_sha256": "dd73c583458ae6bba309cb5317ae245802a260c73ab925b0d485231a23fb25e5"
},
"schema_version": "1.0",
"source": {
"id": "2310.10098",
"kind": "arxiv",
"version": 1
}
}