Pith Number

pith:ADCAF7KK

pith:2026:ADCAF7KKTM7XJ26CXXM6BDPNCP

not attested not anchored not stored refs resolved

DisaBench: A Participatory Evaluation Framework for Disability Harms in Language Models

Christina Mallon, Eugenia Kim, Ioana Tanase

General-purpose safety benchmarks for language models miss disability harms because those harms are personal, intersectional, and community-defined.

arxiv:2605.12702 v1 · 2026-05-12 · cs.AI · cs.HC

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{ADCAF7KKTM7XJ26CXXM6BDPNCP}

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.

Claims

C1strongest claim

Disability harm is simultaneously personal, intersectional, and community-defined: it cannot be isolated from the full context of who a person is, and general-purpose benchmarks systematically miss it.

C2weakest assumption

The taxonomy and 175 prompts co-created with four evaluators with lived experience are sufficient to capture the range of disability harms across cultures, time, and non-text modalities.

C3one line summary

DisaBench supplies a participatory taxonomy of twelve disability harm types, paired benign-adversarial prompts across seven life domains, and human-annotated data showing that standard safety tests miss context-dependent harms.

References

45 extracted · 45 resolved · 2 Pith anchors

[1] 2001 , address = 2001

[2] 2011 , address = 2011

[3] 2024 , howpublished = 2024

[4] Applied Sciences , volume = 2023

[5] American Journal of Orthopsychiatry , volume = 2023

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T03:09:49.671324Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

00c402fd4a9b3f74ebc2bdd9e08ded13f16a6ffc4362198d1636b467cedc8c85

Aliases

arxiv: 2605.12702 · arxiv_version: 2605.12702v1 · doi: 10.48550/arxiv.2605.12702 · pith_short_12: ADCAF7KKTM7X · pith_short_16: ADCAF7KKTM7XJ26C · pith_short_8: ADCAF7KK

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/ADCAF7KKTM7XJ26CXXM6BDPNCP \
  | 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: 00c402fd4a9b3f74ebc2bdd9e08ded13f16a6ffc4362198d1636b467cedc8c85

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "aca6e65451063f282db65bb2f2f61c9c8eb6423de6257f06bc3bd7ecb1e1590f",
    "cross_cats_sorted": [
      "cs.HC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-12T19:56:36Z",
    "title_canon_sha256": "6fb39e2dd6e77e9e25ad22877a79a5e5dfbde489116044bc2c7c23ba3607e569"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12702",
    "kind": "arxiv",
    "version": 1
  }
}