Pith Number
pith:AUW6HPL5
pith:2017:AUW6HPL5YGF5JNZKPJORWLCLUJ
not attested
not anchored
not stored
refs pending
OL\'E: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
arxiv:1712.01727 v1 · 2017-12-05 · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AUW6HPL5YGF5JNZKPJORWLCLUJ}
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 | 2026-05-18T00:28:47.746501Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
052de3bd7dc18bd4b72a7a5d1b2c4ba258acf234ef5d5552937bc37765a033ca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AUW6HPL5YGF5JNZKPJORWLCLUJ \
| 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: 052de3bd7dc18bd4b72a7a5d1b2c4ba258acf234ef5d5552937bc37765a033ca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2b15a5509f318b8bb7d8de72c2b9fd5a42250a51e84eed8e3f13e006e78628a3",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-12-05T16:03:56Z",
"title_canon_sha256": "a5cd0d4951a8b924ea9bf564171173d4d9e5d0d32f4d5f397caaa10e7b229c36"
},
"schema_version": "1.0",
"source": {
"id": "1712.01727",
"kind": "arxiv",
"version": 1
}
}