Pith Number
pith:XE7PLLCT
pith:2023:XE7PLLCTJMXG5VQHYIHZMEQJCL
not attested
not anchored
not stored
refs pending
DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields
arxiv:2303.11364 v1 · 2023-03-20 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XE7PLLCTJMXG5VQHYIHZMEQJCL}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:53:17.392763Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b93ef5ac534b2e6ed607c20f96120912ef0f5087ea11bea5a9152cdd3b5d28b3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XE7PLLCTJMXG5VQHYIHZMEQJCL \
| 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: b93ef5ac534b2e6ed607c20f96120912ef0f5087ea11bea5a9152cdd3b5d28b3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "47daab65d2f5e0fc160d85303fba43e84ae887a04d05882005427080f11779b3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-03-20T18:03:32Z",
"title_canon_sha256": "a7bbf6d9d8e0851e33b4fbec1e5268eb54df9ac6e8a245a9c547882c64682b50"
},
"schema_version": "1.0",
"source": {
"id": "2303.11364",
"kind": "arxiv",
"version": 1
}
}