Pith Number
pith:CDWIKL7F
pith:2023:CDWIKL7FJ34OLQDRKXUEVVYQP6
not attested
not anchored
not stored
refs pending
Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
arxiv:2312.01648 v3 · 2023-12-04 · cs.AI · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CDWIKL7FJ34OLQDRKXUEVVYQP6}
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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
The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions
Receipt and verification
| First computed | 2026-07-05T08:42:31.295983Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
10ec852fe54ef8e5c07155e84ad7107fbcfe74d48e0e3121af6a6fb885e2622a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CDWIKL7FJ34OLQDRKXUEVVYQP6 \
| 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: 10ec852fe54ef8e5c07155e84ad7107fbcfe74d48e0e3121af6a6fb885e2622a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f5802bdeb9fa60cced8cc08dabf2b4fc67c901e0962c2f282621862885dda008",
"cross_cats_sorted": [
"cs.CL",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2023-12-04T06:01:32Z",
"title_canon_sha256": "783cf15eb2b94bdba76621bd93e00f503dc452d1af886acd1204952282c5a431"
},
"schema_version": "1.0",
"source": {
"id": "2312.01648",
"kind": "arxiv",
"version": 3
}
}