Pith Number
pith:VHJM5QYN
pith:2023:VHJM5QYN6A6IUXDCQMB44LYHTB
not attested
not anchored
not stored
refs pending
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
arxiv:2312.03160 v2 · 2023-12-05 · cs.CV · cs.GR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VHJM5QYN6A6IUXDCQMB44LYHTB}
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 | 2026-07-05T08:01:35.431640Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a9d2cec30df03c8a5c628303ce2f079857d3025d7807f27ba35ca304e13f6d56
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VHJM5QYN6A6IUXDCQMB44LYHTB \
| 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: a9d2cec30df03c8a5c628303ce2f079857d3025d7807f27ba35ca304e13f6d56
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "79b4e5d4d9e6dd23d2ea08eceba3e39c697d94b85b737dbdda1601bd669b6f22",
"cross_cats_sorted": [
"cs.GR",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-12-05T22:04:49Z",
"title_canon_sha256": "f11809639d0a43c04e75ec8c1ab38442cb36f82559feff69d278abe2c2604610"
},
"schema_version": "1.0",
"source": {
"id": "2312.03160",
"kind": "arxiv",
"version": 2
}
}