Pith Number
pith:PYPGCKP6
pith:2016:PYPGCKP6X2KC6ZQKUUMHQON4P7
not attested
not anchored
not stored
refs pending
Applying Topological Persistence in Convolutional Neural Network for Music Audio Signals
arxiv:1608.07373 v1 · 2016-08-26 · cs.NE · cs.CG · cs.MM · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PYPGCKP6X2KC6ZQKUUMHQON4P7}
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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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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.
Cited by
Receipt and verification
| First computed | 2026-05-18T01:07:53.215717Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7e1e6129febe942f660aa5187839bc7fe7bf9d3bacd49064ab7d163f1b933ac9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PYPGCKP6X2KC6ZQKUUMHQON4P7 \
| 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: 7e1e6129febe942f660aa5187839bc7fe7bf9d3bacd49064ab7d163f1b933ac9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "96c96b1c63e99a57593d3deb84e924aca021845a7a2c9ca8db6df3bd0b4d625f",
"cross_cats_sorted": [
"cs.CG",
"cs.MM",
"cs.SD"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2016-08-26T07:14:37Z",
"title_canon_sha256": "97d55486376e732e6315c02c73d79b1a3a97cbdf6f0e6b76303daf0dbc822f42"
},
"schema_version": "1.0",
"source": {
"id": "1608.07373",
"kind": "arxiv",
"version": 1
}
}