Pith Number
pith:2QTU3XFH
pith:2024:2QTU3XFH7KKY3AGYKXB662HM3S
not attested
not anchored
not stored
refs pending
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
arxiv:2405.20612 v2 · 2024-05-31 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2QTU3XFH7KKY3AGYKXB662HM3S}
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 | 2026-07-05T09:48:13.828898Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d4274ddca7fa958d80d855c3ef68ecdc883c5c4f3eb8f07b784b9b2b16e9687d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2QTU3XFH7KKY3AGYKXB662HM3S \
| 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: d4274ddca7fa958d80d855c3ef68ecdc883c5c4f3eb8f07b784b9b2b16e9687d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ef8e210c62696efcb959a915e1a82dd287d8070c53921e7358c7f3781c22c737",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-05-31T03:59:15Z",
"title_canon_sha256": "1f1b16ac387ec6510f095e13f41ea392205b1974f1f318f705b51bee55f2caa5"
},
"schema_version": "1.0",
"source": {
"id": "2405.20612",
"kind": "arxiv",
"version": 2
}
}