Pith Number
pith:PFEXRRHZ
pith:2017:PFEXRRHZV6DTVNU5L46G36MZTE
not attested
not anchored
not stored
refs pending
Feature Extraction for Machine Learning Based Crackle Detection in Lung Sounds from a Health Survey
arxiv:1706.00005 v2 · 2017-05-31 · cs.SD · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PFEXRRHZV6DTVNU5L46G36MZTE}
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 | 2026-05-18T00:27:21.356956Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
794978c4f9af873ab69d5f3c6df9999905181e80fc8a5293f054438fea361e1f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PFEXRRHZV6DTVNU5L46G36MZTE \
| 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: 794978c4f9af873ab69d5f3c6df9999905181e80fc8a5293f054438fea361e1f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eed9cf3ed0a6672a1a9e208935a48eb52f6267a0e4f86fbae27fa925439c73ef",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2017-05-31T16:24:28Z",
"title_canon_sha256": "45737849a56f975e65cae83e68110da869643c6c3c04bf5b4f3f7d3e45ee99d7"
},
"schema_version": "1.0",
"source": {
"id": "1706.00005",
"kind": "arxiv",
"version": 2
}
}