Pith Number
pith:BOQE74QH
pith:2018:BOQE74QHT3ZRE3E4T2AMES3RL6
not attested
not anchored
not stored
refs pending
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
arxiv:1804.01552 v1 · 2018-04-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BOQE74QHT3ZRE3E4T2AMES3RL6}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:19:14.641420Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ba04ff2079ef3126c9c9e80c24b715f8c30ab4fa33c283a50aa213994c9c30c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BOQE74QHT3ZRE3E4T2AMES3RL6 \
| 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: 0ba04ff2079ef3126c9c9e80c24b715f8c30ab4fa33c283a50aa213994c9c30c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "38f96470b17db88c9a8b359a4d0865ffb637a90bf8a40574cbd09fef862c3775",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-04T18:15:17Z",
"title_canon_sha256": "c08e6c6427bf33a8bc752c4ae3c2fef2e55f2f82c6dd95cb70477e0dd0a04873"
},
"schema_version": "1.0",
"source": {
"id": "1804.01552",
"kind": "arxiv",
"version": 1
}
}