Pith Number
pith:7OL4SDF2
pith:2025:7OL4SDF2ICYZMMRDPEQWY2XXXB
not attested
not anchored
not stored
refs pending
Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration
arxiv:2504.00950 v2 · 2025-04-01 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7OL4SDF2ICYZMMRDPEQWY2XXXB}
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.
Cited by
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
· · · · ·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
}
}