Pith Number
pith:EG7ZIQW7
pith:2024:EG7ZIQW74YPXLX4LRNEY42Z2MG
not attested
not anchored
not stored
refs pending
Comparing diversity, negativity, and stereotypes in Chinese-language AI technologies: an investigation of Baidu, Ernie and Qwen
arxiv:2408.15696 v4 · 2024-08-28 · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EG7ZIQW74YPXLX4LRNEY42Z2MG}
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 | 2026-07-05T10:10:08.737695Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
21bf9442dfe61f75df8b8b498e6b3a61b0d7ddf35b5aceb77ea71f7cced2f112
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EG7ZIQW74YPXLX4LRNEY42Z2MG \
| 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: 21bf9442dfe61f75df8b8b498e6b3a61b0d7ddf35b5aceb77ea71f7cced2f112
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cc082abc03355c08aa2ba837a5c0ff05b1584b8aa4af1e8a44f2e6fb55a64cf2",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2024-08-28T10:51:18Z",
"title_canon_sha256": "21f123a1de92a7847301ece72613e11bb4138793e408f397b2658749cd837141"
},
"schema_version": "1.0",
"source": {
"id": "2408.15696",
"kind": "arxiv",
"version": 4
}
}