Pith Number
pith:4PM5VLXQ
pith:2026:4PM5VLXQY2J5LAE4WGH3RKCMRH
not attested
not anchored
not stored
refs pending
Making Your LLMs More Objective: Stabilizing LLM Safety Behavior Across Traits with Trait-Invariant Safety Tuning
arxiv:2608.11705 v1 · 2026-08-12 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4PM5VLXQY2J5LAE4WGH3RKCMRH}
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.
Receipt and verification
| First computed | 2026-08-13T01:27:53.128113Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3d9daaef0c693d5809cb18fb8a84c89c47e96035f4e0388ed4f919140d85d79
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4PM5VLXQY2J5LAE4WGH3RKCMRH \
| 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: e3d9daaef0c693d5809cb18fb8a84c89c47e96035f4e0388ed4f919140d85d79
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1746b6841edd1bf94eaed8c79f2f36662e77ff3533311d5703bb0cc29494e194",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-08-12T06:33:55Z",
"title_canon_sha256": "8a7795da56c63f3a075f00ab9d64ae166bde235c7dc7c73e9c245c42a2d45b0b"
},
"schema_version": "1.0",
"source": {
"id": "2608.11705",
"kind": "arxiv",
"version": 1
}
}