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pith:7GJQYMWP

pith:2026:7GJQYMWPN2DYVRP44XMPRSP4MB
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DecepGPT: Schema-Driven Deception Detection with Multicultural Datasets and Robust Multimodal Learning

Chunmei Zhu, Dongliang Zhu, Hui Ma, Jiajian Huang, Jiayu Zhang, Xiaochun Cao, Zitong Yu

DecepGPT augments existing deception benchmarks with cue descriptions and reasoning chains, adds a large multicultural dataset, and introduces two modules to reach state-of-the-art detection that transfers across domains and cultures.

arxiv:2603.23916 v3 · 2026-03-25 · cs.CV · cs.AI

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4 Citations open
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Claims

C1strongest claim

Experiments on three established benchmarks and our novel dataset demonstrate that our method achieves state-of-the-art performance in both in-domain and cross-domain scenarios, while exhibiting superior transferability across diverse cultural contexts.

C2weakest assumption

That the manually added cue-level descriptions and reasoning chains in the augmented datasets accurately reflect genuine deception signals rather than annotator bias or post-hoc rationalization.

C3one line summary

A new 1695-sample multicultural dataset plus two modules for stable multimodal fusion and modality consistency yield state-of-the-art deception detection with cross-cultural transfer.

Receipt and verification
First computed 2026-06-09T01:05:16.350568Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f9930c32cf6e878ac5fce5d8f8c9fc606bc5148fca8d5918a2f4cc4a4609894c

Aliases

arxiv: 2603.23916 · arxiv_version: 2603.23916v3 · doi: 10.48550/arxiv.2603.23916 · pith_short_12: 7GJQYMWPN2DY · pith_short_16: 7GJQYMWPN2DYVRP4 · pith_short_8: 7GJQYMWP
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7GJQYMWPN2DYVRP44XMPRSP4MB \
  | 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: f9930c32cf6e878ac5fce5d8f8c9fc606bc5148fca8d5918a2f4cc4a4609894c
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-03-25T04:06:36Z",
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