Pith Number
pith:BEKNPFDV
pith:2024:BEKNPFDVFXKUH4DSF6J5W7E22R
not attested
not anchored
not stored
refs pending
Dialect prejudice predicts AI decisions about people's character, employability, and criminality
arxiv:2403.00742 v1 · 2024-03-01 · cs.CL · cs.AI · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BEKNPFDVFXKUH4DSF6J5W7E22R}
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
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claim
4
Citations
5
Replications
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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
Receipt and verification
| First computed | 2026-07-05T07:51:07.993799Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0914d794752dd543f0722f93db7c9ad44db3d6ea7acd53a9fbd23213f1270126
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BEKNPFDVFXKUH4DSF6J5W7E22R \
| 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: 0914d794752dd543f0722f93db7c9ad44db3d6ea7acd53a9fbd23213f1270126
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "569e1cf27bc5169e689e47a5ac573f2bea9ed5cf60126318418356310224aeb1",
"cross_cats_sorted": [
"cs.AI",
"cs.CY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-03-01T18:43:09Z",
"title_canon_sha256": "6ca3cae20deabde933bae8a2a206b3f170e37d4e64193ab27ec78d2f6976b3e9"
},
"schema_version": "1.0",
"source": {
"id": "2403.00742",
"kind": "arxiv",
"version": 1
}
}