Pith Number
pith:YN24Z5SV
pith:2016:YN24Z5SVTQTMSHF2VVFQQHRW53
not attested
not anchored
not stored
refs pending
Acoustic scene classification using convolutional neural network and multiple-width frequency-delta data augmentation
arxiv:1607.02383 v1 · 2016-07-08 · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YN24Z5SVTQTMSHF2VVFQQHRW53}
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 | 2026-05-18T01:11:20.521576Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c375ccf6559c26c91cbaad4b081e36eefe9cb64a7efdd83d3769f6327e44245e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YN24Z5SVTQTMSHF2VVFQQHRW53 \
| 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: c375ccf6559c26c91cbaad4b081e36eefe9cb64a7efdd83d3769f6327e44245e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f7241f14fc8f543467b52986b5abca9feac4e65c46e2e5b73c1c201500be471a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2016-07-08T14:33:58Z",
"title_canon_sha256": "71b336fab0237cf95f795afdd210b372f4e523b33f518a7963e6835eaa42bdd0"
},
"schema_version": "1.0",
"source": {
"id": "1607.02383",
"kind": "arxiv",
"version": 1
}
}