Pith Number
pith:HGWGPF33
pith:2025:HGWGPF33CJGASHYBD2MTACWORH
not attested
not anchored
not stored
refs pending
Deep Subspace Learning for Surface Anomaly Classification Based on 3D Point Cloud Data
arxiv:2502.11669 v1 · 2025-02-17 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HGWGPF33CJGASHYBD2MTACWORH}
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 | 2026-07-05T10:15:32.281587Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
39ac67977b124c091f011e99300ace89d04dcd23cca3550725fd144b26c0a951
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HGWGPF33CJGASHYBD2MTACWORH \
| 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: 39ac67977b124c091f011e99300ace89d04dcd23cca3550725fd144b26c0a951
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ab27d1cad888cbe22301825a9dc66062ad40e2366c10773fdaf420e3dd554b83",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2025-02-17T10:57:53Z",
"title_canon_sha256": "51caa6002903c14ed7ea18b009330b1e67f6cb27cdff8e5cc8dd50b959c07ac6"
},
"schema_version": "1.0",
"source": {
"id": "2502.11669",
"kind": "arxiv",
"version": 1
}
}