pith. sign in
Pith Number

pith:BPLFIZV7

pith:2026:BPLFIZV7AWBDTD2ZKFNRAGJT7J
not attested not anchored not stored refs pending

PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression

Dandan Ding, Jiahao Zhu, Kang You, Zhan Ma

PACE decouples context aggregation from probability prediction to cut latency in LiDAR compression.

arxiv:2605.01320 v2 · 2026-05-02 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BPLFIZV7AWBDTD2ZKFNRAGJT7J}

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 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.

Claims

C1strongest claim

PACE sets a new state-of-the-art in compression efficiency, achieving notable BD-BR savings and reducing decoding latency by over 90% in autoregressive mode.

C2weakest assumption

The non-causal backbone can still provide sufficient context for accurate probability prediction when causality is confined to the lightweight predictor, without loss of modeling power from the original tight coupling.

C3one line summary

PACE achieves state-of-the-art LiDAR point cloud compression with over 90% lower decoding latency by using a non-causal backbone and a stage-scalable causal predictor.

Receipt and verification
First computed 2026-06-09T01:05:18.566479Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0bd65466bf0582398f59515b101933fa54ec82e5ba7ce3f2a9a99bb2af18c1d8

Aliases

arxiv: 2605.01320 · arxiv_version: 2605.01320v2 · doi: 10.48550/arxiv.2605.01320 · pith_short_12: BPLFIZV7AWBD · pith_short_16: BPLFIZV7AWBDTD2Z · pith_short_8: BPLFIZV7
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BPLFIZV7AWBDTD2ZKFNRAGJT7J \
  | 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: 0bd65466bf0582398f59515b101933fa54ec82e5ba7ce3f2a9a99bb2af18c1d8
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "3d77959725d138e327b83f9f214f9100ad9e9d0c00d6da5be2de20f3e1ca622d",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-02T08:36:11Z",
    "title_canon_sha256": "b90248a27a4d027293ea5e7587738781c07f0923cc4e661dadff94001fbfb825"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.01320",
    "kind": "arxiv",
    "version": 2
  }
}