Pith Number
pith:AEAUX3UX
pith:2016:AEAUX3UXURHEGFUKBNJ35FTLE6
not attested
not anchored
not stored
refs pending
Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition
arxiv:1607.00087 v2 · 2016-07-01 · cs.AI · cs.LG · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AEAUX3UXURHEGFUKBNJ35FTLE6}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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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 | 2026-05-18T00:56:04.231023Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
01014bee97a44e43168a0b53be966b2781e7f9749028c3328cd8ade4c785ae4a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AEAUX3UXURHEGFUKBNJ35FTLE6 \
| 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: 01014bee97a44e43168a0b53be966b2781e7f9749028c3328cd8ade4c785ae4a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0e3bc480f3e1f67ad8dc7cc1a7e83076786a832f0b7f379e4ea16f3436b18e69",
"cross_cats_sorted": [
"cs.LG",
"cs.SD"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2016-07-01T00:54:10Z",
"title_canon_sha256": "0f66c2525229fe3812ea4d18f2e879f877f4660276f1fdcdab46df0f803c20f1"
},
"schema_version": "1.0",
"source": {
"id": "1607.00087",
"kind": "arxiv",
"version": 2
}
}