Pith Number
pith:2LW672V3
pith:2017:2LW672V37H6T2ZDXTLQ5WVHZEF
not attested
not anchored
not stored
refs pending
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification
arxiv:1706.06525 v1 · 2017-06-20 · cs.SD · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2LW672V37H6T2ZDXTLQ5WVHZEF}
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
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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 | 2026-05-18T00:30:50.639553Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d2edefeabbf9fd3d64779ae1db54f92176b64a246a43165f10f9f796ddcb7cc8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2LW672V37H6T2ZDXTLQ5WVHZEF \
| 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: d2edefeabbf9fd3d64779ae1db54f92176b64a246a43165f10f9f796ddcb7cc8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "87b102877451a9ca5a21a290399444b20a1927566b0fde3c9987a5faecd5c5e4",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2017-06-20T15:44:09Z",
"title_canon_sha256": "9db49936e6c7d79528223eae4ed7ba4cdff7b39335643634636ca6d509b48afa"
},
"schema_version": "1.0",
"source": {
"id": "1706.06525",
"kind": "arxiv",
"version": 1
}
}