Pith Number
pith:QFN7UMZI
pith:2017:QFN7UMZINKNGP32QGCFOECM6B3
not attested
not anchored
not stored
refs pending
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning
arxiv:1711.04121 v3 · 2017-11-11 · cs.SD · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QFN7UMZINKNGP32QGCFOECM6B3}
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 | 2026-05-18T00:15:46.931847Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
815bfa33286a9a67ef50308ae2099e0ee965ff8646958cfb055241822f03c32b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QFN7UMZINKNGP32QGCFOECM6B3 \
| 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: 815bfa33286a9a67ef50308ae2099e0ee965ff8646958cfb055241822f03c32b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7edc943dab42ac8a5a6a57dc12a3019006a6edf3b15a913b56c0f5f9f8b8a937",
"cross_cats_sorted": [
"eess.AS"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2017-11-11T11:47:33Z",
"title_canon_sha256": "47586d5512736e5b2627ec8982ec53f5510a72498a71d304c6514201d4ce9467"
},
"schema_version": "1.0",
"source": {
"id": "1711.04121",
"kind": "arxiv",
"version": 3
}
}