Pith Number

pith:F7U35DSA

pith:2023:F7U35DSATN4A4TLATHUVNENQFB

not attested not anchored not stored refs pending

LLMaAA: Making Large Language Models as Active Annotators

Lei Zou, Ming Zhou, Ruoyu Zhang, Yanzeng Li, Yongliang Ma

arxiv:2310.19596 v2 · 2023-10-30 · cs.CL · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{F7U35DSATN4A4TLATHUVNENQFB}

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

5 papers in Pith

Towards Consistent Detection of Cognitive Distortions: LLM-Based Annotation and Dataset-Agnostic Evaluation

A Scalable Tool for Measuring Manner and Result Verbs in Developmental Language Research

Structured Exploration and Exploitation of Label Functions for Automated Data Annotation

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning

Receipt and verification

First computed	2026-07-05T07:07:19.398426Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2fe9be8e409b780e4d6099e95691b0284ad6c5609d3e3d6df07b4d270978d0e3

Aliases

arxiv: 2310.19596 · arxiv_version: 2310.19596v2 · doi: 10.48550/arxiv.2310.19596 · pith_short_12: F7U35DSATN4A · pith_short_16: F7U35DSATN4A4TLA · pith_short_8: F7U35DSA

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/F7U35DSATN4A4TLATHUVNENQFB \
  | 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: 2fe9be8e409b780e4d6099e95691b0284ad6c5609d3e3d6df07b4d270978d0e3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "8bf09bf55d3af085b1c561d24d16ae772382e71759f9d2636643382031450852",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2023-10-30T14:54:15Z",
    "title_canon_sha256": "166f4a52fac2e624f21c9f80e2d81a08e25fd797a4c5cf7e8f4e023c109e6ea6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.19596",
    "kind": "arxiv",
    "version": 2
  }
}