Pith Number
pith:T5DZGXUF
pith:2025:T5DZGXUFHXCB3W5LSQZZECF6R2
not attested
not anchored
not stored
refs pending
Addressing speaker gender bias in large scale speech translation systems
arxiv:2501.05989 v1 · 2025-01-10 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T5DZGXUFHXCB3W5LSQZZECF6R2}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:59:31.219135Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9f47935e853dc41ddbab94339208be8e876238705bca904c859b57d3b8750564
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T5DZGXUFHXCB3W5LSQZZECF6R2 \
| 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: 9f47935e853dc41ddbab94339208be8e876238705bca904c859b57d3b8750564
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9367554d1d437c7b24abfc4aa149db023358a51df9aaa94fd11f52a5c68a1b42",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-10T14:20:46Z",
"title_canon_sha256": "e85715396531503a3d93bd3b0acd56a058c31bba77506508bd07c3eadbdde57c"
},
"schema_version": "1.0",
"source": {
"id": "2501.05989",
"kind": "arxiv",
"version": 1
}
}