Pith Number
pith:W36LQKJ5
pith:2016:W36LQKJ5KDBZ325OSXQ3ETDAXS
not attested
not anchored
not stored
refs pending
Learning Filter Banks Using Deep Learning For Acoustic Signals
arxiv:1611.09526 v1 · 2016-11-29 · cs.SD · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W36LQKJ5KDBZ325OSXQ3ETDAXS}
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 | 2026-05-18T00:56:18.163555Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b6fcb8293d50c39debae95e1b24c60bc9a1bbeeea3ecb54ecffb2f7f1e0da0e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W36LQKJ5KDBZ325OSXQ3ETDAXS \
| 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: b6fcb8293d50c39debae95e1b24c60bc9a1bbeeea3ecb54ecffb2f7f1e0da0e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "30c1429daa9a9b49338253c969157916dedf09ae5a74a1b0a6f17ab75eccb761",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2016-11-29T08:46:26Z",
"title_canon_sha256": "ff3e14c74865ab086152746cd8d8a6fe2bbd495928b5bb89c9477259f1892484"
},
"schema_version": "1.0",
"source": {
"id": "1611.09526",
"kind": "arxiv",
"version": 1
}
}