Pith Number
pith:OJ3KKTHQ
pith:2023:OJ3KKTHQUMPC2NF5HM52E4HKSY
not attested
not anchored
not stored
refs pending
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs
arxiv:2309.03876 v1 · 2023-09-07 · cs.CL · cs.AI · cs.CY · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OJ3KKTHQUMPC2NF5HM52E4HKSY}
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 | 2026-07-05T06:48:43.017325Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7276a54cf0a31e2d34bd3b3ba270ea9611cb229e7edaa8f7a68f7b2c4d528b58
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OJ3KKTHQUMPC2NF5HM52E4HKSY \
| 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: 7276a54cf0a31e2d34bd3b3ba270ea9611cb229e7edaa8f7a68f7b2c4d528b58
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5e8e3a7299c4650b063126bd895f82eac2dd895a1a0a1bcae4ea6035554ca27b",
"cross_cats_sorted": [
"cs.AI",
"cs.CY",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-09-07T17:41:01Z",
"title_canon_sha256": "47b1471d2ea82f87d7d3de177271be3b3e168aaf7bd649ce56e5dcc87b505137"
},
"schema_version": "1.0",
"source": {
"id": "2309.03876",
"kind": "arxiv",
"version": 1
}
}