Pith Number
pith:YUCCDXU3
pith:2023:YUCCDXU3DQBF3ZWCWCKIF3UJB5
not attested
not anchored
not stored
refs pending
3D Density-Gradient based Edge Detection on Neural Radiance Fields (NeRFs) for Geometric Reconstruction
arxiv:2309.14800 v1 · 2023-09-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YUCCDXU3DQBF3ZWCWCKIF3UJB5}
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 | 2026-07-05T06:54:30.134723Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c50421de9b1c025de6c2b09482ee890f774c0f282bf04056d4dda98728d513ab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YUCCDXU3DQBF3ZWCWCKIF3UJB5 \
| 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: c50421de9b1c025de6c2b09482ee890f774c0f282bf04056d4dda98728d513ab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ff44a40daa530f4294cfebf91b7c8f1b8851e7c77ecf4b77ec589455427bc192",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-09-26T09:56:27Z",
"title_canon_sha256": "30e44f72098f33a7ec577831811af4902cd51f25728d8e8e963f29aca501b0c1"
},
"schema_version": "1.0",
"source": {
"id": "2309.14800",
"kind": "arxiv",
"version": 1
}
}