Pith Number
pith:KPZZX2PJ
pith:2025:KPZZX2PJ3WJNLIOBK6ZVOG47NA
not attested
not anchored
not stored
refs pending
Are Inherently Interpretable Models More Robust? A Study In Music Emotion Recognition
arxiv:2508.03780 v1 · 2025-08-05 · cs.SD · cs.AI · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KPZZX2PJ3WJNLIOBK6ZVOG47NA}
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 | 2026-07-05T11:49:14.952367Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
53f39be9e9dd92d5a1c157b3571b9f680ce834bf5d4d739f9e3816c8b657d32f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KPZZX2PJ3WJNLIOBK6ZVOG47NA \
| 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: 53f39be9e9dd92d5a1c157b3571b9f680ce834bf5d4d739f9e3816c8b657d32f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c92971dedac64a276c19be2630c43c1a6c080bdadcefb727a3005dd2559600b9",
"cross_cats_sorted": [
"cs.AI",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2025-08-05T13:29:29Z",
"title_canon_sha256": "25822c6911972985bc9296d7f1719c4cea56aed18732a72e3dd4ec3d534d3de7"
},
"schema_version": "1.0",
"source": {
"id": "2508.03780",
"kind": "arxiv",
"version": 1
}
}