Pith Number
pith:BOQNGZP5
pith:2022:BOQNGZP57KBFW3CWEXR74HIWQJ
not attested
not anchored
not stored
refs pending
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images
arxiv:2201.06594 v1 · 2022-01-17 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BOQNGZP57KBFW3CWEXR74HIWQJ}
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 | 2026-07-05T03:48:59.735528Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ba0d365fdfa825b6c5625e3fe1d168246c65ac93d4e82cfe45a6f09fe002c06
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BOQNGZP57KBFW3CWEXR74HIWQJ \
| 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: 0ba0d365fdfa825b6c5625e3fe1d168246c65ac93d4e82cfe45a6f09fe002c06
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "538999b34c9e931093b6817841e2f9a91e177ad5a6ebfe95e70a029b659bbe32",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-01-17T19:14:58Z",
"title_canon_sha256": "dc9680c55dd157cd5113fcee3cbce67c01014a41ce66dba9305d8b6a9b6eb5d8"
},
"schema_version": "1.0",
"source": {
"id": "2201.06594",
"kind": "arxiv",
"version": 1
}
}