Pith Number
pith:YS6Q7RXX
pith:2017:YS6Q7RXXAX7B2YZBO3P42YW3NN
not attested
not anchored
not stored
refs pending
Group-level Emotion Recognition using Transfer Learning from Face Identification
arxiv:1709.01688 v3 · 2017-09-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YS6Q7RXXAX7B2YZBO3P42YW3NN}
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 | 2026-05-18T00:31:18.770156Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c4bd0fc6f705fe1d632176dfcd62db6b53d4dd86d9ab1b80e9e25593f1641199
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YS6Q7RXXAX7B2YZBO3P42YW3NN \
| 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: c4bd0fc6f705fe1d632176dfcd62db6b53d4dd86d9ab1b80e9e25593f1641199
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "95e7246b5b5d314825029ec31412423464ab276d6fb3823c0f638fb268172f17",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-09-06T06:47:23Z",
"title_canon_sha256": "a24f3b234dd588b3a8f70c9fe189638075f6ec507cf51205fbd59c8acc5399ed"
},
"schema_version": "1.0",
"source": {
"id": "1709.01688",
"kind": "arxiv",
"version": 3
}
}