Pith Number
pith:3CZERF6M
pith:2024:3CZERF6MYSVNOIAIFMHYL57NH2
not attested
not anchored
not stored
refs pending
Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognition
arxiv:2402.09982 v1 · 2024-02-15 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3CZERF6MYSVNOIAIFMHYL57NH2}
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 | 2026-07-05T07:45:39.795546Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d8b24897ccc4aad720082b0f85f7ed3eb2910165f6f65f6056d3fd5979ea936f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3CZERF6MYSVNOIAIFMHYL57NH2 \
| 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: d8b24897ccc4aad720082b0f85f7ed3eb2910165f6f65f6056d3fd5979ea936f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b46af87193a5617f448be206eeb0b54bb163dec8a3c4e47fa76d235e1592bbce",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-02-15T14:46:03Z",
"title_canon_sha256": "538c74a1ae8c7dec5e96e0304a63ee84bc5a8612d2751e90c971fddffe8e6f33"
},
"schema_version": "1.0",
"source": {
"id": "2402.09982",
"kind": "arxiv",
"version": 1
}
}