Pith. sign in
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

Hwijeong Lee, Hyunjung Shim, Seungho Lee

arxiv:2410.06893 v1 · 2024-10-09 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BSSN5PT2QSYLHUBWW2K3VET7SL}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 2410.06893 · arxiv_version: 2410.06893v1 · doi: 10.48550/arxiv.2410.06893 · pith_short_12: BSSN5PT2QSYL · pith_short_16: BSSN5PT2QSYLHUBW · pith_short_8: BSSN5PT2
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
  }
}