Pith Number

pith:6CY5ZLC5

pith:2025:6CY5ZLC5NDDYPAPG7EDFWHZXTR

not attested not anchored not stored refs pending

Emergence of human-like polarization among large language model agents

Chen Gao, Fengli Xu, Fernando P. Santos, James Evans, Jinghua Piao, Qinghua Hu, Yong Li, Zhihong Lu

arxiv:2501.05171 v2 · 2025-01-09 · cs.SI · cs.CY

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{6CY5ZLC5NDDYPAPG7EDFWHZXTR}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

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.

Cited by

6 papers in Pith

Post-Training Recipe, More Than Model Family, Shapes Multi-Agent LLM Conversational Behavior

AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

Opinion dynamics: Statistical physics and beyond

Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits

Simulating Online Social Media Conversations on Controversial Topics Using AI Agents Calibrated on Real-World Data

Receipt and verification

First computed	2026-07-05T11:06:26.521977Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f0b1dcac5d68c78781e6f9065b1f379c58408755165ee28be09db2d993987b9f

Aliases

arxiv: 2501.05171 · arxiv_version: 2501.05171v2 · doi: 10.48550/arxiv.2501.05171 · pith_short_12: 6CY5ZLC5NDDY · pith_short_16: 6CY5ZLC5NDDYPAPG · pith_short_8: 6CY5ZLC5

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/6CY5ZLC5NDDYPAPG7EDFWHZXTR \
  | 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: f0b1dcac5d68c78781e6f9065b1f379c58408755165ee28be09db2d993987b9f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "072ba8b7debb327c2a8c1cc9418c3b0f6d139da20379a7b1b16a7049efbf9d7a",
    "cross_cats_sorted": [
      "cs.CY"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.SI",
    "submitted_at": "2025-01-09T11:45:05Z",
    "title_canon_sha256": "f8e4a2cd77f9aeeb98f1ea697a25b969cf15aaa5c8d33dd0256b6f2fa9997f69"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.05171",
    "kind": "arxiv",
    "version": 2
  }
}