Pith Number
pith:EF2GYUY2
pith:2022:EF2GYUY2P4ETNJ6RLRX63JNBMQ
not attested
not anchored
not stored
refs pending
Redundancy Reduction Twins Network: A Training framework for Multi-output Emotion Regression
arxiv:2206.09142 v2 · 2022-06-18 · cs.SD · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EF2GYUY2P4ETNJ6RLRX63JNBMQ}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T04:35:21.756213Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
21746c531a7f0936a7d15c6feda5a16421f0301bebb1eb40f2d4f3b31eef9e4d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EF2GYUY2P4ETNJ6RLRX63JNBMQ \
| 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: 21746c531a7f0936a7d15c6feda5a16421f0301bebb1eb40f2d4f3b31eef9e4d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cf1422bda4c861c9a0d7d2911d9e94b889d60c3342f6b85327ec1c6db75223a5",
"cross_cats_sorted": [
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2022-06-18T07:56:02Z",
"title_canon_sha256": "eaed7c76ec63449eb0579450dd48e3d8b0f2c8574a61e845717081e0efeee375"
},
"schema_version": "1.0",
"source": {
"id": "2206.09142",
"kind": "arxiv",
"version": 2
}
}