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Pith Number

pith:7OL4SDF2

pith:2025:7OL4SDF2ICYZMMRDPEQWY2XXXB
not attested not anchored not stored refs pending

Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration

Dawei Xiang, Liang Dong, Pablo Rivas, Tianqi Ding

arxiv:2504.00950 v2 · 2025-04-01 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7OL4SDF2ICYZMMRDPEQWY2XXXB}

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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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T10:46:03.674574Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fb97c90cba40b196322379216c6af7b844b493cae442dce0f4eaa3eaddf3b328

Aliases

arxiv: 2504.00950 · arxiv_version: 2504.00950v2 · doi: 10.48550/arxiv.2504.00950 · pith_short_12: 7OL4SDF2ICYZ · pith_short_16: 7OL4SDF2ICYZMMRD · pith_short_8: 7OL4SDF2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7OL4SDF2ICYZMMRDPEQWY2XXXB \
  | 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: fb97c90cba40b196322379216c6af7b844b493cae442dce0f4eaa3eaddf3b328
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "5472f789f107e0cf4c1ffd0d688c2812d219f6fb832a8a9da6595cceb6c97af2",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2025-04-01T16:38:57Z",
    "title_canon_sha256": "b6e75bb8cd589a87c3b6677044e583c92a342cc6b8ed0637c4d2d45bd724fe52"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2504.00950",
    "kind": "arxiv",
    "version": 2
  }
}