Pith Number

pith:MZR2OYUD

pith:2023:MZR2OYUDU7VEDERCUEQR6OYOFQ

not attested not anchored not stored refs pending

Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Cheng Li, Fang Luo, Jianxun Lian, Jindong Wang, Kaijie Zhu, Qiang Yang, Wenxin Hou, Xing Xie, Yixuan Zhang

arxiv:2307.11760 v7 · 2023-07-14 · cs.CL · cs.AI · cs.HC

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\usepackage{pith}
\pithnumber{MZR2OYUDU7VEDERCUEQR6OYOFQ}

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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

✓ 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

14 papers in Pith

Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation

Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial

Caring Without Feeling: Affective Dynamics as the Control Layer of Human-AI Agent Collaboration

Personality, Role, and Expressive Style in Large Language Models: An Interactionist Analysis

Receipt and verification

First computed	2026-07-05T07:11:58.215627Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6663a76283a7ea419222a1211f3b0e2c04e1ed0706ba17f82e3b77da45b285a4

Aliases

arxiv: 2307.11760 · arxiv_version: 2307.11760v7 · doi: 10.48550/arxiv.2307.11760 · pith_short_12: MZR2OYUDU7VE · pith_short_16: MZR2OYUDU7VEDERC · pith_short_8: MZR2OYUD

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/MZR2OYUDU7VEDERCUEQR6OYOFQ \
  | 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: 6663a76283a7ea419222a1211f3b0e2c04e1ed0706ba17f82e3b77da45b285a4

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "60438832192aaf498c28eedb60f6fd7168d20620a8ffc702fda174f6a0d785a4",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.HC"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2023-07-14T00:57:12Z",
    "title_canon_sha256": "0f70b08dcfb99a6fd91f9248fc5c803919152b8e0c108cdec46b2827f1d4b7fc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2307.11760",
    "kind": "arxiv",
    "version": 7
  }
}