Pith Number
pith:3D3SV2Q4
pith:2025:3D3SV2Q4DQILNHKXXRGHE5X37V
not attested
not anchored
not stored
refs pending
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing
arxiv:2505.14601 v1 · 2025-05-20 · eess.AS · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3D3SV2Q4DQILNHKXXRGHE5X37V}
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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 | 2026-07-05T11:06:16.336647Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d8f72aea1c1c10b69d57bc4c7276fbfd4687a031185d11dfe34a7b1ec512a116
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3D3SV2Q4DQILNHKXXRGHE5X37V \
| 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: d8f72aea1c1c10b69d57bc4c7276fbfd4687a031185d11dfe34a7b1ec512a116
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "35b5ce5d5911088e297ab23194a157b0c0c37893809ded96d6cd36914f420364",
"cross_cats_sorted": [
"cs.SD"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.AS",
"submitted_at": "2025-05-20T16:51:52Z",
"title_canon_sha256": "54efda39c579fc8a6df21c6bf50b00a99765cf2bb6e5c520be7a00b03b2dc021"
},
"schema_version": "1.0",
"source": {
"id": "2505.14601",
"kind": "arxiv",
"version": 1
}
}