Pith Number
pith:7FI6HZ6F
pith:2018:7FI6HZ6FA4H7MLFWCL677MR3ZR
not attested
not anchored
not stored
refs pending
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms
arxiv:1805.09717 v4 · 2018-05-24 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7FI6HZ6FA4H7MLFWCL677MR3ZR}
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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 | 2026-05-17T23:52:59.167414Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f951e3e7c5070ff62cb612fdffb23bcc4cee23a1dbb47fc9f6013fe6cff95232
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7FI6HZ6FA4H7MLFWCL677MR3ZR \
| 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: f951e3e7c5070ff62cb612fdffb23bcc4cee23a1dbb47fc9f6013fe6cff95232
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dce21c88cb20d46af833dc9aa3ae310f2026bb8968acf2da3a030680f4d2c45b",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-05-24T15:05:49Z",
"title_canon_sha256": "671d7273dab5f443e5f152c79f0ee1bdb31a2e33ac3623521efa7ed85b9afea1"
},
"schema_version": "1.0",
"source": {
"id": "1805.09717",
"kind": "arxiv",
"version": 4
}
}