Pith Number
pith:BCDMM5DB
pith:2019:BCDMM5DBBMJS6CEEWBLUDXM5OR
not attested
not anchored
not stored
refs pending
Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images
arxiv:1902.05411 v1 · 2019-02-12 · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BCDMM5DBBMJS6CEEWBLUDXM5OR}
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 | 2026-05-17T23:54:00.900350Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0886c674610b132f0884b05741dd9d746eedddc4257e7ad61aa221f8da6a2ac0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BCDMM5DBBMJS6CEEWBLUDXM5OR \
| 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: 0886c674610b132f0884b05741dd9d746eedddc4257e7ad61aa221f8da6a2ac0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6800346fa6d508e316938d2574ad049e5b00e30ef5a84e8b6a314aea0fffb852",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-02-12T10:00:34Z",
"title_canon_sha256": "83b5015ec557c60295f8af4aea5dbb729b62b319595a8b56f7a303f61dae1649"
},
"schema_version": "1.0",
"source": {
"id": "1902.05411",
"kind": "arxiv",
"version": 1
}
}