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pith:VLDA7YQS

pith:2022:VLDA7YQSUHMMTTWCANC2TI3BYI
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Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection

Chi-Wing Fu, Tianyu Wang, Xiaowei Hu, Zhengzhe Liu

arxiv:2211.13067 v1 · 2022-11-23 · cs.CV

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\usepackage{pith}
\pithnumber{VLDA7YQSUHMMTTWCANC2TI3BYI}

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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.

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1 paper in Pith

Receipt and verification
First computed 2026-07-05T05:18:58.060842Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

aac60fe212a1d8c9cec20345a9a361c21c1012956425fef1b383133005ee37cf

Aliases

arxiv: 2211.13067 · arxiv_version: 2211.13067v1 · doi: 10.48550/arxiv.2211.13067 · pith_short_12: VLDA7YQSUHMM · pith_short_16: VLDA7YQSUHMMTTWC · pith_short_8: VLDA7YQS
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VLDA7YQSUHMMTTWCANC2TI3BYI \
  | 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: aac60fe212a1d8c9cec20345a9a361c21c1012956425fef1b383133005ee37cf
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9928822fa9469c59fe26488702d9c7f151f23163faddfaaa1f12d2a75d400966",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2022-11-23T16:01:06Z",
    "title_canon_sha256": "01b7a76b637d5fc1ac89e09c2276c061342280b9978961b5e6b2b6f8aa7b87cd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2211.13067",
    "kind": "arxiv",
    "version": 1
  }
}