Pith Number
pith:5DOOC5SK
pith:2022:5DOOC5SK6PDPU3MZUFYWZP2C6A
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not anchored
not stored
refs pending
To train or not to train adversarially: A study of bias mitigation strategies for speaker recognition
arxiv:2203.09122 v1 · 2022-03-17 · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5DOOC5SK6PDPU3MZUFYWZP2C6A}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:06:07.666781Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e8dce1764af3c6fa6d99a1716cbf42f00c81c112970f9bef523b246ab6c2265b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5DOOC5SK6PDPU3MZUFYWZP2C6A \
| 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: e8dce1764af3c6fa6d99a1716cbf42f00c81c112970f9bef523b246ab6c2265b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b270a571e0af6b59b79f83228b2472a362ecb2308bc2c834f8dc94d958a3e739",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.AS",
"submitted_at": "2022-03-17T06:56:48Z",
"title_canon_sha256": "950e28af19f3dbbaeede7e819426d0e8d3058586b7f1291710fa93fb87492888"
},
"schema_version": "1.0",
"source": {
"id": "2203.09122",
"kind": "arxiv",
"version": 1
}
}