Pith Number
pith:BSSN5PT2
pith:2024:BSSN5PT2QSYLHUBWW2K3VET7SL
not attested
not anchored
not stored
refs pending
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation
arxiv:2410.06893 v1 · 2024-10-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BSSN5PT2QSYLHUBWW2K3VET7SL}
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 | 2026-07-05T09:18:08.272494Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ca4debe7a84b0b3d036b695ba927f92f225a8ed8c65d6250ffaba69c0326668
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BSSN5PT2QSYLHUBWW2K3VET7SL \
| 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: 0ca4debe7a84b0b3d036b695ba927f92f225a8ed8c65d6250ffaba69c0326668
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c3324f77d72f596e9b419e68c8cbda90069051b70f1a7932d65db94e6c240be4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-10-09T13:57:39Z",
"title_canon_sha256": "0d48b12f07201bdb93b6d47369ad6870cd70ed851c0f72447024ae2bebf635c3"
},
"schema_version": "1.0",
"source": {
"id": "2410.06893",
"kind": "arxiv",
"version": 1
}
}