Pith Number
pith:QJFAG6SN
pith:2022:QJFAG6SNNFYF4E5HHGWZZP6WSL
not attested
not anchored
not stored
refs pending
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification
arxiv:2203.10192 v1 · 2022-03-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QJFAG6SNNFYF4E5HHGWZZP6WSL}
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 | 2026-07-05T04:06:32.437918Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
824a037a4d69705e13a739ad9cbfd692ec27fd48521b4b6db231902e4be75602
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QJFAG6SNNFYF4E5HHGWZZP6WSL \
| 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: 824a037a4d69705e13a739ad9cbfd692ec27fd48521b4b6db231902e4be75602
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "be9ae606a5c32f877ea804aadc790128b60cebf527679bceefc3872d9cc9c780",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-03-18T23:26:20Z",
"title_canon_sha256": "abeb10913790d1fff9abc13289da073a05c57c20d9e6f07554d7d174d18f27fa"
},
"schema_version": "1.0",
"source": {
"id": "2203.10192",
"kind": "arxiv",
"version": 1
}
}