Pith Number

pith:GLP42B6R

pith:2024:GLP42B6R7UT7WSR6NBWDA5AOV7

not attested not anchored not stored refs pending

Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation

Anaelia Ovalle, Arjun Subramonian, Ashima Suvarna, Christina Chance, Hritik Bansal, Kai-Wei Chang, Rebecca Pattichis, Yixin Wan, Zongyu Lin

arxiv:2404.01030 v3 · 2024-04-01 · cs.CV · cs.AI · 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{GLP42B6R7UT7WSR6NBWDA5AOV7}

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

9 papers in Pith

BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in modern Text-to-image Models

Gender Artifacts from Art History to Text-to-Image Generation

Beyond Categories of Caste: Examining Caste Bias and Morality in Text-to-Image AI Models

Controllable Image Generation with Composed Parallel Token Prediction

VideoPhy: Evaluating Physical Commonsense for Video Generation

Receipt and verification

First computed	2026-07-05T08:14:23.079157Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

32dfcd07d1fd27fb4a3e686c30740eafd08a2b1ff5af23c50b60420bedba346b

Aliases

arxiv: 2404.01030 · arxiv_version: 2404.01030v3 · doi: 10.48550/arxiv.2404.01030 · pith_short_12: GLP42B6R7UT7 · pith_short_16: GLP42B6R7UT7WSR6 · pith_short_8: GLP42B6R

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/GLP42B6R7UT7WSR6NBWDA5AOV7 \
  | 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: 32dfcd07d1fd27fb4a3e686c30740eafd08a2b1ff5af23c50b60420bedba346b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c0759b6baadcb55fb43b8c11088c3ddf816a54c8638209b3e389d279f3ead33a",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CY"
    ],
    "license": "http://creativecommons.org/publicdomain/zero/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-04-01T10:19:05Z",
    "title_canon_sha256": "2b1c329929576cc481c442ce6dc9c72ce68de40dd6111d3338bafa97e41d72c1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2404.01030",
    "kind": "arxiv",
    "version": 3
  }
}