Pith Number
pith:EUKSSP33
pith:2025:EUKSSP33GM22D4UGDYOF5TRNSC
not attested
not anchored
not stored
refs pending
Analysing Moral Bias in Finetuned LLMs through Mechanistic Interpretability
arxiv:2510.12229 v3 · 2025-10-14 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EUKSSP33GM22D4UGDYOF5TRNSC}
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 | 2026-07-20T01:18:21.149428Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2515293f7b3335a1f2861e1c5ece2d908abae8f02b3fd4a4397d1a0a8b0ba9aa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EUKSSP33GM22D4UGDYOF5TRNSC \
| 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: 2515293f7b3335a1f2861e1c5ece2d908abae8f02b3fd4a4397d1a0a8b0ba9aa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c205363d632fdb8bf7e1499fa35c4cd850ba733c9d5de980e05398f842643371",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-10-14T07:31:29Z",
"title_canon_sha256": "9c4c84e4fb60283a457d2c05f334fce34c8b8331187293abb9c539dc2ee745d4"
},
"schema_version": "1.0",
"source": {
"id": "2510.12229",
"kind": "arxiv",
"version": 3
}
}