Pith Number
pith:KJLOY3DI
pith:2024:KJLOY3DI6EILCKIDNJ5YFU3VVT
not attested
not anchored
not stored
refs pending
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning
arxiv:2412.19200 v1 · 2024-12-26 · cs.SD · cs.IR · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KJLOY3DI6EILCKIDNJ5YFU3VVT}
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
✓
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 | 2026-07-05T09:54:32.223072Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5256ec6c68f110b129036a7b82d375acfe07bb221f03850c43e238b1de6e2b1b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KJLOY3DI6EILCKIDNJ5YFU3VVT \
| 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: 5256ec6c68f110b129036a7b82d375acfe07bb221f03850c43e238b1de6e2b1b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e5ab12606d8121cd588626b9dc8bb5a51ae7c1ffbc73fae9482b77a29add18b7",
"cross_cats_sorted": [
"cs.IR",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2024-12-26T12:47:35Z",
"title_canon_sha256": "1225ba3058cc00fa36bd1e7e2627c80c10813a7f27c8184de3524f2a5ede043d"
},
"schema_version": "1.0",
"source": {
"id": "2412.19200",
"kind": "arxiv",
"version": 1
}
}