Pith Number
pith:DUYLMJVE
pith:2019:DUYLMJVE5E75YULZC2ENSOQEUF
not attested
not anchored
not stored
refs pending
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression
arxiv:1909.05693 v1 · 2019-09-11 · cs.CV · cs.AI · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DUYLMJVE5E75YULZC2ENSOQEUF}
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 | 2026-07-05T00:04:17.859752Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1d30b626a4e93fdc51791688d93a04a14eff8e625fdcfe6866e4d92a031ff86b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DUYLMJVE5E75YULZC2ENSOQEUF \
| 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: 1d30b626a4e93fdc51791688d93a04a14eff8e625fdcfe6866e4d92a031ff86b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e76507fab518151efc547a828d727167f0bb727d9ba1ba9b133b9921151c870d",
"cross_cats_sorted": [
"cs.AI",
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-09-11T05:16:36Z",
"title_canon_sha256": "c05ee09eea8efa4ef5df3e550e36eb4825dcdf3b195a5fa5339e75eee374ce03"
},
"schema_version": "1.0",
"source": {
"id": "1909.05693",
"kind": "arxiv",
"version": 1
}
}