Pith Number

pith:AGVVVHYG

pith:2023:AGVVVHYGL4TSFRQC5YKRDDFMVX

not attested not anchored not stored refs pending

"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters

Aparna Garimella, George Pu, Jiao Sun, Kai-Wei Chang, Nanyun Peng, Yixin Wan

arxiv:2310.09219 v5 · 2023-10-13 · 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{AGVVVHYGL4TSFRQC5YKRDDFMVX}

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

A closer look at how large language models trust humans: patterns and biases

Measuring Stereotype and Deviation Biases in Large Language Models

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews

TrustLLM: Trustworthiness in Large Language Models

SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models

Receipt and verification

First computed	2026-07-05T07:19:23.131426Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

01ab5a9f065f2722c602ee15118cacade8b4d78510ee8d7bfce1ca483eb3e3c8

Aliases

arxiv: 2310.09219 · arxiv_version: 2310.09219v5 · doi: 10.48550/arxiv.2310.09219 · pith_short_12: AGVVVHYGL4TS · pith_short_16: AGVVVHYGL4TSFRQC · pith_short_8: AGVVVHYG

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/AGVVVHYGL4TSFRQC5YKRDDFMVX \
  | 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: 01ab5a9f065f2722c602ee15118cacade8b4d78510ee8d7bfce1ca483eb3e3c8

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "79a33b484ff54d107a8e56c1b2910ddbdb7410027266f038d888fe417fde7070",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/publicdomain/zero/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2023-10-13T16:12:57Z",
    "title_canon_sha256": "cec3459c278bff01f4a154fa5ccf4b1ada3215e403bad64c98ae191b83fcf26d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.09219",
    "kind": "arxiv",
    "version": 5
  }
}