Pith Number
pith:YKSYZT4C
pith:2024:YKSYZT4CLCC7QMLQR73KJQDFYQ
not attested
not anchored
not stored
refs pending
Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data
arxiv:2411.09431 v1 · 2024-11-14 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YKSYZT4CLCC7QMLQR73KJQDFYQ}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T09:35:26.545102Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c2a58ccf825885f831708ff6a4c065c43e49da784769a1c864e6086ada4e5944
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YKSYZT4CLCC7QMLQR73KJQDFYQ \
| 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: c2a58ccf825885f831708ff6a4c065c43e49da784769a1c864e6086ada4e5944
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f554383372076c4719d45b48905f89e9724768f70a081212802ccdd5fba2a232",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-11-14T13:29:09Z",
"title_canon_sha256": "c941271fe193d2161cd436ca7d1504c32bb77888a8755cf9e0765f8aef72f151"
},
"schema_version": "1.0",
"source": {
"id": "2411.09431",
"kind": "arxiv",
"version": 1
}
}