Pith Number
pith:BTHN2FU7
pith:2017:BTHN2FU7FPTWC576UWUS47O7J4
not attested
not anchored
not stored
refs pending
Deep Structured Learning for Facial Action Unit Intensity Estimation
arxiv:1704.04481 v1 · 2017-04-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BTHN2FU7FPTWC576UWUS47O7J4}
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 | 2026-05-18T00:46:21.583972Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ccedd169f2be76177fea5a92e7ddf4f075a33dc2646064a833ccd862c4761f3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BTHN2FU7FPTWC576UWUS47O7J4 \
| 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: 0ccedd169f2be76177fea5a92e7ddf4f075a33dc2646064a833ccd862c4761f3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9dfdc76b83e963bf16d172104ff21cfd59bbb1abb51477f7a8ae59289986adef",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-04-14T16:51:40Z",
"title_canon_sha256": "e096ddf09108d6e0a2bc9f3b24b095edf17b27deb9410f34fa8e3188ad9432f3"
},
"schema_version": "1.0",
"source": {
"id": "1704.04481",
"kind": "arxiv",
"version": 1
}
}