Pith Number
pith:W2P7GFC3
pith:2025:W2P7GFC3JVOAYYSMKTNUCRLGV5
not attested
not anchored
not stored
refs pending
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
arxiv:2506.13265 v3 · 2025-06-16 · cs.CV · cs.AI · cs.LG · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W2P7GFC3JVOAYYSMKTNUCRLGV5}
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 | 2026-07-05T12:03:49.195727Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b69ff3145b4d5c0c624c54db414566af743c5be652d9daa64edf37d5d4d26d98
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W2P7GFC3JVOAYYSMKTNUCRLGV5 \
| 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: b69ff3145b4d5c0c624c54db414566af743c5be652d9daa64edf37d5d4d26d98
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c8cbf2b56bda3f1f0de5521dc2d0055be0fd62d578028e2aabe0fd7ef3e6e726",
"cross_cats_sorted": [
"cs.AI",
"cs.LG",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-16T09:03:51Z",
"title_canon_sha256": "692a166a300167b2e28ae0b6ac5ff577d5aeaedbcaa990dbb7b8eb7e0f25c55a"
},
"schema_version": "1.0",
"source": {
"id": "2506.13265",
"kind": "arxiv",
"version": 3
}
}