Pith Number
pith:NSHAYGUH
pith:2023:NSHAYGUHMMYTWBMFZA4HN3DF5U
not attested
not anchored
not stored
refs pending
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
arxiv:2308.07770 v1 · 2023-08-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NSHAYGUHMMYTWBMFZA4HN3DF5U}
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 | 2026-07-05T06:41:31.059197Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c8e0c1a8763313b0585c83876ec65ed1f41bbfdd79478497eac172d19d3dd2d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NSHAYGUHMMYTWBMFZA4HN3DF5U \
| 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: 6c8e0c1a8763313b0585c83876ec65ed1f41bbfdd79478497eac172d19d3dd2d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d9822f55c8c2c41f12648a1e7a7df8fbb0c0b9e376ce1aa5e736d1ee0bd24f1b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-08-15T13:43:48Z",
"title_canon_sha256": "ba0b468e7529b2254f49eb190180a1d962970b59432b04a945f950548a85d4f3"
},
"schema_version": "1.0",
"source": {
"id": "2308.07770",
"kind": "arxiv",
"version": 1
}
}