Pith Number

pith:URR2PHUT

pith:2026:URR2PHUTPAPRVIZKGVBZ7L5M5J

not attested not anchored not stored refs resolved

You Can't Fool Us: Understanding the Resilience of LLM-driven Agent Communities to Misinformation

Chichen Lin, Han Xiao, Kangbo Hu, Weijian Fan, Yijie Jin, Yongbin Wang, Zhanzhan Zhao, Zhihui Ying

Higher open-minded thinking in simulated communities reduces misinformation uptake and speeds recovery, while polarization leaves more lingering support.

arxiv:2605.17353 v1 · 2026-05-17 · cs.CY

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\pithnumber{URR2PHUTPAPRVIZKGVBZ7L5M5J}

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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

Across systematically varied AOT-PI communities, we find that higher AOT improves both resistance to misinformation uptake and recovery after trust peaks. PI shapes the recovery pathway: ideologically moderate communities recover more reliably, while polarized communities retain more residual support.

C2weakest assumption

LLM-based agents can faithfully simulate human psychological processes and social interactions when assigned traits such as Actively Open-minded Thinking and Political Ideology in response to misinformation shocks.

C3one line summary

LLM agent simulations show higher actively open-minded thinking boosts resistance to and recovery from misinformation while ideological moderation supports more reliable correction than polarization.

References

13 extracted · 13 resolved · 2 Pith anchors

[1] Borah, A.; Mihalcea, R.; and Perez-Rosas, V 2026

[2] LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals 2021 · arXiv:2411.10109

[3] Roozenbeek, J.; Freeman, A

[4] Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation 2019 · arXiv:2510.11423

[5] For most authors... (a) Would answering this research question advance sci- ence without violating social contracts, such as violat- ing privacy norms, perpetuating unfair profiling, exac- erbating th

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:03:53.800753Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a463a79e93781f1aa32a35439fafacea78f28f415408d3f97365401f01957d66

Aliases

arxiv: 2605.17353 · arxiv_version: 2605.17353v1 · doi: 10.48550/arxiv.2605.17353 · pith_short_12: URR2PHUTPAPR · pith_short_16: URR2PHUTPAPRVIZK · pith_short_8: URR2PHUT

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/URR2PHUTPAPRVIZKGVBZ7L5M5J \
  | 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: a463a79e93781f1aa32a35439fafacea78f28f415408d3f97365401f01957d66

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1bdc929eb47175de7afbc61bd3cfb113f3f023b79a5fba99f843f7ea26371bed",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2026-05-17T09:45:33Z",
    "title_canon_sha256": "041c93ce83faa1eedc59a292faf969d894b247c2a67c4334afce51a9c6946ca7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17353",
    "kind": "arxiv",
    "version": 1
  }
}