Pith Number

pith:ZSEJRDVM

pith:2026:ZSEJRDVMJUB52CPSPUD235WNWQ

not attested not anchored not stored refs pending

Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces

Boxi Cao, Hongyu Lin, Jiawei Chen, Le Sun, Ruotong Pan, Ruoxi Xu, Tingting Gao, Xiangyu Wu, Xianpei Han, Yaojie Lu, Yifei Hu, Yingfei Sun, Yong Du, Yunfei Zhang

Large language models simulating human behavior converge to a positive average person and erase individual differences.

arxiv:2604.08362 v2 · 2026-04-09 · cs.CL · cs.AI · cs.LG

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\pithnumber{ZSEJRDVMJUB52CPSPUD235WNWQ}

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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

a systematic comparison between simulated and authentic behaviors uncovers a fundamental structural bias: LLMs tend to converge toward a positive average person, exhibiting hyper-activity, persona homogenization, and a Utopian bias. This results in the loss of individual differences and long-tail behaviors.

C2weakest assumption

That the collected real-world behavioral traces are representative of holistic human decision-making without collection or annotation biases, and that the metrics used to quantify hyper-activity, homogenization, and Utopian bias accurately reflect structural LLM limitations rather than benchmark-specific artifacts.

C3one line summary

OmniBehavior benchmark demonstrates that LLMs simulating real human behavior converge on hyper-active positive average personas, losing long-tail individual differences.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-22T02:04:40.798230Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

cc88988eac4d03dd09f27d07adf6cdb43b298a8527ac60eef2511bd5d4471ee3

Aliases

arxiv: 2604.08362 · arxiv_version: 2604.08362v2 · doi: 10.48550/arxiv.2604.08362 · pith_short_12: ZSEJRDVMJUB5 · pith_short_16: ZSEJRDVMJUB52CPS · pith_short_8: ZSEJRDVM

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZSEJRDVMJUB52CPSPUD235WNWQ \
  | 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: cc88988eac4d03dd09f27d07adf6cdb43b298a8527ac60eef2511bd5d4471ee3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f50a47cceafdb543b2dfdf5fc8cb22b638d9960a14769a3dd8dbbbbb24a09ea9",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-04-09T15:26:21Z",
    "title_canon_sha256": "5edb2bbf102b24c7b00ff202185ca811770bef5624cf1828b79dc41a75eaf75d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.08362",
    "kind": "arxiv",
    "version": 2
  }
}