Pith Number
pith:BKQERDGE
pith:2025:BKQERDGEGJZMIGJKADZ2NPSAIJ
not attested
not anchored
not stored
refs pending
NeuronTune: Fine-Grained Neuron Modulation for Balanced Safety-Utility Alignment in LLMs
arxiv:2508.09473 v1 · 2025-08-13 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BKQERDGEGJZMIGJKADZ2NPSAIJ}
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 | 2026-07-05T11:53:15.522268Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0aa0488cc43272c4192a00f3a6be404263e4b9376a075de92a8bf19143e550fe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BKQERDGEGJZMIGJKADZ2NPSAIJ \
| 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: 0aa0488cc43272c4192a00f3a6be404263e4b9376a075de92a8bf19143e550fe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5a1254f460673f6ebe750e22a0d9dac42856540874edad8c7da8816100a62b75",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-13T04:05:28Z",
"title_canon_sha256": "b8aa4dbe963342842cdee1b1ebfe4ee500f7ef26c7a26a5a0862fd560b8cf6dc"
},
"schema_version": "1.0",
"source": {
"id": "2508.09473",
"kind": "arxiv",
"version": 1
}
}