Pith Number
pith:73DWIG47
pith:2024:73DWIG475PELVWLQKC33OHGO4Q
not attested
not anchored
not stored
refs pending
AG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene Rendering
arxiv:2404.11897 v1 · 2024-04-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{73DWIG475PELVWLQKC33OHGO4Q}
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
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claim
4
Citations
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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 | 2026-07-05T08:09:32.109931Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fec7641b9febc8bad97050b7b71ccee410c86cc1e59d14e3dba13c48bf229b39
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/73DWIG475PELVWLQKC33OHGO4Q \
| 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: fec7641b9febc8bad97050b7b71ccee410c86cc1e59d14e3dba13c48bf229b39
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e2c97f6fcba1f0736588d280d8b7dab8384e6cc5feeaf2a626bdc6582796da48",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-04-18T04:54:28Z",
"title_canon_sha256": "af3292d257115ce4470e80eb7825440a0d24dd34b88e897bed12cea35b4d66c3"
},
"schema_version": "1.0",
"source": {
"id": "2404.11897",
"kind": "arxiv",
"version": 1
}
}