Pith Number

pith:6PATNCQZ

pith:2026:6PATNCQZCHQ6OJI33H2LKXGZOS

not attested not anchored not stored refs pending

Unifying Speech Editing Detection and Content Localization via Prior-Enhanced Audio LLMs

Jinshen He, Jun Xue, Yanzhen Ren, Yi Chai, Yihuan Huang, Yuankun Xie, Yujie Chen, Zhiqiang Tang, Zhuolin Yi

Audio LLMs reformulated as text generators detect speech edits and localize their content on a new realistic dataset.

arxiv:2601.21463 v3 · 2026-01-29 · cs.SD · cs.AI

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\pithnumber{6PATNCQZCHQ6OJI33H2LKXGZOS}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

Experimental results demonstrate that the proposed approach consistently outperforms existing methods across both detection and localization tasks.

C2weakest assumption

That the AiEdit dataset constructed with state-of-the-art end-to-end speech editing systems provides realistic coverage of modern editing threats and that the prior-enhanced prompting strategy successfully grounds the generative model in acoustic evidence.

C3one line summary

The paper introduces the AiEdit dataset of 140 hours of realistic speech edits and a prior-enhanced Audio LLM framework that unifies detection and localization via text generation and an acoustic consistency loss.

Cited by

1 paper in Pith

AT-ADD: All-Type Audio Deepfake Detection Challenge Evaluation Plan

Receipt and verification

First computed	2026-05-26T01:03:23.487775Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f3c1368a1911e1e7251bd9f4b55cd974b6bf184126a2b23260df221e6b53f4a4

Aliases

arxiv: 2601.21463 · arxiv_version: 2601.21463v3 · doi: 10.48550/arxiv.2601.21463 · pith_short_12: 6PATNCQZCHQ6 · pith_short_16: 6PATNCQZCHQ6OJI3 · pith_short_8: 6PATNCQZ

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/6PATNCQZCHQ6OJI33H2LKXGZOS \
  | 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: f3c1368a1911e1e7251bd9f4b55cd974b6bf184126a2b23260df221e6b53f4a4

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "5af8683e7ca58e77d82192569bac84d26da273c8b0fcdf206a3a5dda6ff6eebd",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.SD",
    "submitted_at": "2026-01-29T09:39:28Z",
    "title_canon_sha256": "b894be1e20f9458f07b5150de3e1fdf599ffe125ef2f27f64edad3fe52c789b2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2601.21463",
    "kind": "arxiv",
    "version": 3
  }
}