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pith:IZTLQT75

pith:2026:IZTLQT75QNFB3KASPEC4Y553UZ
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Psychologically Potent, Computationally Invisible: LLMs Generate Social-Comparison-Eliciting Posts They Fail to Detect

Hua Zhao, Jiapei Gu, Michelle Mingyue Gu

LLMs generate social-comparison triggers but fail to detect them with prompts

arxiv:2605.01017 v2 · 2026-05-01 · cs.CL

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

Across prompted LLM classifiers and supervised Chinese encoder baselines, we find a consistent mismatch between generation fluency and reliable detection ability: the signal is textually learnable in-domain, but not robustly accessible to prompt-based classification.

C2weakest assumption

That the XHS-SCoRE benchmark, built from first-person reader labels on Xiaohongshu posts, accurately and stably captures the psychologically real construct of social comparison rather than artifacts of the platform or labeling process.

C3one line summary

LLMs generate social media posts that shift readers' perceived standing and comparison-related feelings but fail to reliably detect the same social-comparison triggers via prompt-based classification.

Receipt and verification
First computed 2026-05-26T02:05:09.743395Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4666b84ffd834a1da8127905cc77bba67817c18f6d01ca429dca0b1bcf71a0ab

Aliases

arxiv: 2605.01017 · arxiv_version: 2605.01017v2 · doi: 10.48550/arxiv.2605.01017 · pith_short_12: IZTLQT75QNFB · pith_short_16: IZTLQT75QNFB3KAS · pith_short_8: IZTLQT75
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IZTLQT75QNFB3KASPEC4Y553UZ \
  | 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: 4666b84ffd834a1da8127905cc77bba67817c18f6d01ca429dca0b1bcf71a0ab
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-05-01T18:28:10Z",
    "title_canon_sha256": "622639ffa36106924bfe93c7ce8cb7d020acc10fae5e5025a4918d9d30cf0b62"
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