Pith Number
pith:LK672JMU
pith:2020:LK672JMUJZO7UNJTSG2RVDCLYT
not attested
not anchored
not stored
refs pending
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
arxiv:2006.16867 v2 · 2020-06-30 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LK672JMUJZO7UNJTSG2RVDCLYT}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:47:42.969640Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5abdfd25944e5dfa353391b51a8c4bc4ef663a9e9b7c143ef290037cf7023a8d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LK672JMUJZO7UNJTSG2RVDCLYT \
| 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: 5abdfd25944e5dfa353391b51a8c4bc4ef663a9e9b7c143ef290037cf7023a8d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "50161b0ed186525e68e06541b728a4748e6b3d2d5bc22ee6f24df540cdc1ecc9",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-06-30T14:56:05Z",
"title_canon_sha256": "6bda3dd45d08f56635e1a98ab223fc4417d767a6069004409ea8e4302e771f0e"
},
"schema_version": "1.0",
"source": {
"id": "2006.16867",
"kind": "arxiv",
"version": 2
}
}