Pith Number
pith:Z6WJHB46
pith:2025:Z6WJHB46B2BIQ74W4NXIP6WY2F
not attested
not anchored
not stored
refs pending
Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models
arxiv:2504.07787 v1 · 2025-04-10 · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z6WJHB46B2BIQ74W4NXIP6WY2F}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Receipt and verification
| First computed | 2026-07-05T10:47:14.867205Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cfac93879e0e82887f96e36e87fad8d17cd896e1c6770d2895245e805b939ed7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z6WJHB46B2BIQ74W4NXIP6WY2F \
| 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: cfac93879e0e82887f96e36e87fad8d17cd896e1c6770d2895245e805b939ed7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c713fad0211a4ed99250037985b956cfe274f53245976782df22341e5ccaefd8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2025-04-10T14:23:06Z",
"title_canon_sha256": "28a78b6dd1b2dce65b8b6e71fb37f316bf1ec80e79000f9db21d205534b3a7e9"
},
"schema_version": "1.0",
"source": {
"id": "2504.07787",
"kind": "arxiv",
"version": 1
}
}