Pith Number
pith:LS3Q3O73
pith:2023:LS3Q3O73COBHCWDLZOGRQ5BZIM
not attested
not anchored
not stored
refs pending
Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields
arxiv:2309.06030 v4 · 2023-09-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LS3Q3O73COBHCWDLZOGRQ5BZIM}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T07:58:44.869688Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cb70dbbfb138271586bcb8d18743943173c17f0b3bc45c79e0bd2252d2651cb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LS3Q3O73COBHCWDLZOGRQ5BZIM \
| 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: 5cb70dbbfb138271586bcb8d18743943173c17f0b3bc45c79e0bd2252d2651cb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cd9ff8421c5a7675c148c76ad736ad7c6ee055cdd8e12842f777486215a78219",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-09-12T08:04:56Z",
"title_canon_sha256": "35de30344073e346d44b27e4c8f57bd53c72503481e2cabf8aae4c7be9b44c30"
},
"schema_version": "1.0",
"source": {
"id": "2309.06030",
"kind": "arxiv",
"version": 4
}
}