Pith Number
pith:KZYKZ2PJ
pith:2023:KZYKZ2PJUWEXGAJPE57GYOYYBP
not attested
not anchored
not stored
refs pending
Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety
arxiv:2306.11530 v1 · 2023-06-20 · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KZYKZ2PJUWEXGAJPE57GYOYYBP}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:22:20.800913Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5670ace9e9a58973012f277e6c3b180bfefb069cbc2d3fb08692d43140d5093b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KZYKZ2PJUWEXGAJPE57GYOYYBP \
| 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: 5670ace9e9a58973012f277e6c3b180bfefb069cbc2d3fb08692d43140d5093b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d636907ab78074668221b0229b11ffbc4240a9d597b34a9a81d35f791561a0fd",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2023-06-20T13:33:21Z",
"title_canon_sha256": "9f158dfc14d0c446f2b5b8212ce1d38566cae086be8d294a3c730efcd559c0d2"
},
"schema_version": "1.0",
"source": {
"id": "2306.11530",
"kind": "arxiv",
"version": 1
}
}