Pith Number
pith:F2DTYNKR
pith:2025:F2DTYNKRMTHN6LU4PR2JREWLMZ
not attested
not anchored
not stored
refs pending
NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
arxiv:2503.18361 v2 · 2025-03-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F2DTYNKRMTHN6LU4PR2JREWLMZ}
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 | 2026-07-05T10:41:22.492059Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2e873c355164cedf2e9c7c749892cb664239aa3bf318ae28287abcd3a647eb07
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F2DTYNKRMTHN6LU4PR2JREWLMZ \
| 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: 2e873c355164cedf2e9c7c749892cb664239aa3bf318ae28287abcd3a647eb07
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b28dc56a496e89df98112bbe824c9436d827729e0b409a2dee529319b9e4975b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-03-24T05:48:59Z",
"title_canon_sha256": "f40834bc8b0b3126381facfff95f1cc935097b64f14ce547257d3a9e3a1dd020"
},
"schema_version": "1.0",
"source": {
"id": "2503.18361",
"kind": "arxiv",
"version": 2
}
}