Pith Number
pith:6OM6YNBG
pith:2024:6OM6YNBGJVWV4D3W6OSZYYADSR
not attested
not anchored
not stored
refs pending
Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake
arxiv:2404.00809 v1 · 2024-03-31 · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6OM6YNBGJVWV4D3W6OSZYYADSR}
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 | 2026-07-05T08:02:56.991297Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f399ec34264d6d5e0f76f3a59c6003945f664f310db3faa360e726063de0360b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6OM6YNBGJVWV4D3W6OSZYYADSR \
| 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: f399ec34264d6d5e0f76f3a59c6003945f664f310db3faa360e726063de0360b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3f53b34dbe4f3b95d8feb90f521d129292072d3cf41c452118b7f327dda5e42a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.AS",
"submitted_at": "2024-03-31T21:48:50Z",
"title_canon_sha256": "5653e73137c1b32dfd5be83d2a293bd4e41437e58d4158b859ecd87eefa742be"
},
"schema_version": "1.0",
"source": {
"id": "2404.00809",
"kind": "arxiv",
"version": 1
}
}