Pith Number
pith:2V6YAVGM
pith:2024:2V6YAVGMSPF2ICIWLRK2EWOU2D
not attested
not anchored
not stored
refs pending
Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models
arxiv:2407.06908 v1 · 2024-07-09 · cs.CL · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2V6YAVGMSPF2ICIWLRK2EWOU2D}
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 | 2026-07-05T08:41:55.008611Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d57d8054cc93cba409165c55a259d4d0f86093e0328cdd9a969469efbb93f897
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2V6YAVGMSPF2ICIWLRK2EWOU2D \
| 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: d57d8054cc93cba409165c55a259d4d0f86093e0328cdd9a969469efbb93f897
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8ce6dca63a40e624752635bed5488ed10cf68af0374b1b5f0930a1261ebd8e3d",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-07-09T14:45:15Z",
"title_canon_sha256": "7e6e158a3b6b5010056a950456ef769f5ffd87a1f07fa1e5dca96f1f07f81ce4"
},
"schema_version": "1.0",
"source": {
"id": "2407.06908",
"kind": "arxiv",
"version": 1
}
}