pith. sign in
Pith Number

pith:FI2SAV6A

pith:2026:FI2SAV6AAP6O37BZTZCMBJRBVU
not attested not anchored not stored refs pending

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations

Hieu-Thi Luong, Ivan Kukanov, Kong Aik Lee, Xuechen Liu, Zheng Xin Chai

The RADAR Challenge shows audio deepfake detectors still fail under common media changes and multiple languages.

arxiv:2605.09568 v2 · 2026-05-10 · eess.AS

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FI2SAV6AAP6O37BZTZCMBJRBVU}

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 open · sign in to claim
4 Citations open
5 Replications open
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.

Claims

C1strongest claim

The reported results highlight the remaining challenges of robust audio deepfake detection under multilingual and media-transformed conditions.

C2weakest assumption

The constructed dataset and chosen media transformations accurately represent the distortions that occur in real-world audio distribution pipelines.

C3one line summary

The RADAR Challenge 2026 provides a multilingual benchmark for audio deepfake detection under media transformations and finds that robust performance remains an open problem.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-20T00:03:16.555926Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2a352057c003fcedfc399e44c0a621ad0b9b4acd4d7ecf370ecb0e59dcd126a7

Aliases

arxiv: 2605.09568 · arxiv_version: 2605.09568v2 · doi: 10.48550/arxiv.2605.09568 · pith_short_12: FI2SAV6AAP6O · pith_short_16: FI2SAV6AAP6O37BZ · pith_short_8: FI2SAV6A
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FI2SAV6AAP6O37BZTZCMBJRBVU \
  | 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: 2a352057c003fcedfc399e44c0a621ad0b9b4acd4d7ecf370ecb0e59dcd126a7
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "1216efcb1a25c2e6385483ebd2b345bf90333cefd97ee6b7816af3ae0e7f5553",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.AS",
    "submitted_at": "2026-05-10T14:29:35Z",
    "title_canon_sha256": "9c377e98f124a285f17bc61e58793d455e1937375a4634cd57a264b8d09f2af2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.09568",
    "kind": "arxiv",
    "version": 2
  }
}