pith:VVBG2CSP
PICon: A Multi-Turn Interrogation Framework for Evaluating Persona Agent Consistency
Persona agents exhibit more contradictions than humans when tested with chained multi-turn questions.
arxiv:2603.25620 v4 · 2026-03-26 · cs.CL
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\usepackage{pith}
\pithnumber{VVBG2CSPJQNYRMLX7VTQAUXQE6}
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Record completeness
Claims
even systems previously reported as highly consistent fail to meet the human baseline across all three dimensions, revealing contradictions and evasive responses under chained questioning.
That the specific multi-turn interrogation protocol fairly measures consistency without LLM-specific biases such as prompt sensitivity or tendencies to evade that differ from human response patterns.
PICon demonstrates that even highly regarded LLM persona agents exhibit more contradictions and evasive responses than real humans across internal, external, and retest consistency dimensions under chained interrogation.
Receipt and verification
| First computed | 2026-05-20T01:05:11.891120Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ad426d0a4f4c1b88b177fd670052f027b207f10daa7bbd115af816b10619c878
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VVBG2CSPJQNYRMLX7VTQAUXQE6 \
| 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: ad426d0a4f4c1b88b177fd670052f027b207f10daa7bbd115af816b10619c878
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-03-26T16:34:34Z",
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