Pith Number
pith:KZRZ5VDV
pith:2019:KZRZ5VDV2MVXP6F6KK5OI6RRM2
not attested
not anchored
not stored
refs pending
Geometric Losses for Distributional Learning
arxiv:1905.06005 v1 · 2019-05-15 · stat.ML · cs.LG · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KZRZ5VDV2MVXP6F6KK5OI6RRM2}
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 | 2026-05-17T23:46:07.778796Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
56639ed475d32b77f8be52bae47a3166abd19f20637315bbad999f4fb17a8d0f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KZRZ5VDV2MVXP6F6KK5OI6RRM2 \
| 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: 56639ed475d32b77f8be52bae47a3166abd19f20637315bbad999f4fb17a8d0f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "757ed6d4c2bedf3a916268a01e13f16a067cc7d41cc59f3f910984b563fd61e6",
"cross_cats_sorted": [
"cs.LG",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-05-15T07:49:10Z",
"title_canon_sha256": "9aeb2e00e6447efdb68790af47f9c5980f705f29d74b7c67cfd9e4547f8ded92"
},
"schema_version": "1.0",
"source": {
"id": "1905.06005",
"kind": "arxiv",
"version": 1
}
}