Pith Number
pith:LNQGLKHH
pith:2021:LNQGLKHHFQQI3SP3EHAE5XPGKS
not attested
not anchored
not stored
refs pending
BANMo: Building Animatable 3D Neural Models from Many Casual Videos
arxiv:2112.12761 v3 · 2021-12-23 · cs.CV · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LNQGLKHHFQQI3SP3EHAE5XPGKS}
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 | 2026-07-05T05:57:10.217372Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b6065a8e72c208dc9fb21c04edde654bbc911fe58702ff10accc41c57483d49
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LNQGLKHHFQQI3SP3EHAE5XPGKS \
| 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: 5b6065a8e72c208dc9fb21c04edde654bbc911fe58702ff10accc41c57483d49
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4d9776ec6a3de84b0d35671838bcc8ef962ca43961c9e2993a65a6e8272b35d6",
"cross_cats_sorted": [
"cs.GR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-12-23T18:30:31Z",
"title_canon_sha256": "40bbd7fba3c350fe90962946562e3a125201224406267804b8054b9d0a304194"
},
"schema_version": "1.0",
"source": {
"id": "2112.12761",
"kind": "arxiv",
"version": 3
}
}