Pith Number
pith:YMZN7FIU
pith:2022:YMZN7FIUVJT2P7NP6PBIFC5XYH
not attested
not anchored
not stored
refs pending
High-fidelity Facial Avatar Reconstruction from Monocular Video with Generative Priors
arxiv:2211.15064 v2 · 2022-11-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YMZN7FIUVJT2P7NP6PBIFC5XYH}
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 | 2026-07-05T05:48:03.802507Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c332df9514aa67a7fdaff3c2828bb7c1fb1ac9f08c2b7a24d838b27c7f31e06c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YMZN7FIUVJT2P7NP6PBIFC5XYH \
| 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: c332df9514aa67a7fdaff3c2828bb7c1fb1ac9f08c2b7a24d838b27c7f31e06c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "522178adc58346d49bfc8993c71ce2ce4012cafed8ef85364390c8d63b63d013",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-11-28T04:49:46Z",
"title_canon_sha256": "d40dcfc8957d44d77849d1ae4593f3eea3d31496835c63b215ed2c60fe4d94b8"
},
"schema_version": "1.0",
"source": {
"id": "2211.15064",
"kind": "arxiv",
"version": 2
}
}