Pith Number
pith:SEAXRYDK
pith:2025:SEAXRYDKC7G3UVHLVURO4FVZSM
not attested
not anchored
not stored
refs pending
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation
arxiv:2505.03300 v1 · 2025-05-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SEAXRYDKC7G3UVHLVURO4FVZSM}
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 | 2026-07-05T10:59:13.580958Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
910178e06a17cdba54ebad22ee16b9933ec803f8ca29eb8a460467d2cc6cd315
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SEAXRYDKC7G3UVHLVURO4FVZSM \
| 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: 910178e06a17cdba54ebad22ee16b9933ec803f8ca29eb8a460467d2cc6cd315
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7c4acbaa4a8dac1428b784493383dde7cb0bf7362181edbd9161d07547d54996",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-06T08:31:32Z",
"title_canon_sha256": "05011acdb1e12de58d5c081f8c02702b3f77f6780505d664635222a613f6a44e"
},
"schema_version": "1.0",
"source": {
"id": "2505.03300",
"kind": "arxiv",
"version": 1
}
}