Pith Number
pith:GWX4VYGW
pith:2017:GWX4VYGWJMRV3N7MJKXM6DFMHK
not attested
not anchored
not stored
refs pending
DNN Transfer Learning based Non-linear Feature Extraction for Acoustic Event Classification
arxiv:1708.03465 v1 · 2017-08-11 · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GWX4VYGWJMRV3N7MJKXM6DFMHK}
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 | 2026-05-18T00:33:15.942983Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
35afcae0d64b235db7ec4aaecf0cac3aa82b8b5fe88f30b60aaa67b222a22a48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GWX4VYGWJMRV3N7MJKXM6DFMHK \
| 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: 35afcae0d64b235db7ec4aaecf0cac3aa82b8b5fe88f30b60aaa67b222a22a48
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ec81ce0c847b2d131866e7e21046c87b23ebf656ca9126f889a8bf412549a2fb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2017-08-11T08:14:19Z",
"title_canon_sha256": "6b821ac75f90a1107efb91a9d0dccf9f06bd1a45d2de202ab4976db5e82d6c8b"
},
"schema_version": "1.0",
"source": {
"id": "1708.03465",
"kind": "arxiv",
"version": 1
}
}