Pith Number
pith:XNESJ4T2
pith:2022:XNESJ4T24TRNPLON5YG7Z5AGNP
not attested
not anchored
not stored
refs pending
PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence
arxiv:2203.01754 v2 · 2022-03-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XNESJ4T24TRNPLON5YG7Z5AGNP}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T04:12:39.064990Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bb4924f27ae4e2d7adcdee0dfcf4066bd6250d8f50413ca2f716fa786890ad47
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XNESJ4T24TRNPLON5YG7Z5AGNP \
| 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: bb4924f27ae4e2d7adcdee0dfcf4066bd6250d8f50413ca2f716fa786890ad47
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "35c91af38cd334021b2c1b6790d647ee4ebcfaf401a24a12d9805d5549a480c9",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-03-03T15:04:55Z",
"title_canon_sha256": "bfc088bf2501ef2be100c67bb67081f1d0ffcb0b371ab0a2b5290eb3c5882292"
},
"schema_version": "1.0",
"source": {
"id": "2203.01754",
"kind": "arxiv",
"version": 2
}
}