Pith Number
pith:4LVPKGZD
pith:2025:4LVPKGZDYDLC2XKFK2JJ2PAHX7
not attested
not anchored
not stored
refs pending
Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields
arxiv:2505.02005 v2 · 2025-05-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4LVPKGZDYDLC2XKFK2JJ2PAHX7}
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.
Receipt and verification
| First computed | 2026-07-05T11:58:28.480124Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e2eaf51b23c0d62d5d4556929d3c07bfc2fcf6640a937ad74fb6c2011d5b9708
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4LVPKGZDYDLC2XKFK2JJ2PAHX7 \
| 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: e2eaf51b23c0d62d5d4556929d3c07bfc2fcf6640a937ad74fb6c2011d5b9708
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "73c4b0d79e1b74cfaeafafa673b5031f75ad8590a2507f1cc255d12652d613e6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-04T06:25:14Z",
"title_canon_sha256": "058d87b7bbf1c3aa59d0400a46957a2b005b6ab160070e7e217bf0e35e8a25c1"
},
"schema_version": "1.0",
"source": {
"id": "2505.02005",
"kind": "arxiv",
"version": 2
}
}