Pith Number
pith:O567A5D4
pith:2025:O567A5D4DML7APAWB55OEOY7DV
not attested
not anchored
not stored
refs pending
Wav2DF-TSL: Two-stage Learning with Efficient Pre-training and Hierarchical Experts Fusion for Robust Audio Deepfake Detection
arxiv:2509.04161 v1 · 2025-09-04 · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O567A5D4DML7APAWB55OEOY7DV}
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
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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 | 2026-07-05T12:04:54.525286Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
777df0747c1b17f03c160f7ae23b1f1d5a8baa168bd3c4e776aab223c2737c79
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O567A5D4DML7APAWB55OEOY7DV \
| 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: 777df0747c1b17f03c160f7ae23b1f1d5a8baa168bd3c4e776aab223c2737c79
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ff92ea1e59c322147f49dda023f19c2d14673fdcdf9ae50030aea5486c5aa70a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2025-09-04T12:35:10Z",
"title_canon_sha256": "32537e9c5415e15388196b423294dc8c05a897359e3b08133bec0cd378fc7350"
},
"schema_version": "1.0",
"source": {
"id": "2509.04161",
"kind": "arxiv",
"version": 1
}
}