Pith Number
pith:FJQ4KEUX
pith:2022:FJQ4KEUXLRETJEEDE6IKPS6KLR
not attested
not anchored
not stored
refs pending
SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data
arxiv:2201.04833 v1 · 2022-01-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FJQ4KEUXLRETJEEDE6IKPS6KLR}
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 | 2026-07-05T03:48:13.328770Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2a61c512975c493490832790a7cbca5c4a041f2793adec8e0469210352a85b80
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FJQ4KEUXLRETJEEDE6IKPS6KLR \
| 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: 2a61c512975c493490832790a7cbca5c4a041f2793adec8e0469210352a85b80
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "893d8c0b52834c706c1c39e3b63fdfdc5e5ce5e32fe5d73bd492669d014eadef",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-01-13T08:33:53Z",
"title_canon_sha256": "dbc5cd052e468b1a67b4571eaa8404287779ad08e2ecf59945ad0e4d41833eff"
},
"schema_version": "1.0",
"source": {
"id": "2201.04833",
"kind": "arxiv",
"version": 1
}
}