Pith Number
pith:ECGGTZOJ
pith:2024:ECGGTZOJQG5EMP2CP7SYPGJWJN
not attested
not anchored
not stored
refs pending
GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields
arxiv:2404.06246 v1 · 2024-04-09 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ECGGTZOJQG5EMP2CP7SYPGJWJN}
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 | 2026-07-05T08:06:06.507663Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
208c69e5c981ba463f427fe58799364b435447f1afe121b091803fe3cf0e1483
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ECGGTZOJQG5EMP2CP7SYPGJWJN \
| 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: 208c69e5c981ba463f427fe58799364b435447f1afe121b091803fe3cf0e1483
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5c52ac2697f670c17648b415443808d81d24e1608d9fb1e35c205f23093fc233",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-04-09T12:11:25Z",
"title_canon_sha256": "fc9efb544f1dee93c12deda76eb0309292e1f36df877e8aa9ad2ece0b471cea5"
},
"schema_version": "1.0",
"source": {
"id": "2404.06246",
"kind": "arxiv",
"version": 1
}
}