Pith Number
pith:JZSPJUYB
pith:2025:JZSPJUYBUTFHXBSXGDGOQJXVJY
not attested
not anchored
not stored
refs pending
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?
arxiv:2509.08829 v1 · 2025-08-20 · cs.CY · cs.AI · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JZSPJUYBUTFHXBSXGDGOQJXVJY}
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 | 2026-07-05T12:08:37.465076Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4e64f4d301a4ca7b865730cce826f54e1f720accf233bee02e621a18e30a6a47
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JZSPJUYBUTFHXBSXGDGOQJXVJY \
| 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: 4e64f4d301a4ca7b865730cce826f54e1f720accf233bee02e621a18e30a6a47
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2a85f2d9a96e8c4d67d1fb40b5fce0bee2155a6b19c9523860a270bffd841d25",
"cross_cats_sorted": [
"cs.AI",
"cs.IR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2025-08-20T09:41:53Z",
"title_canon_sha256": "7864bad81261e20910d783c4b688888b59c8a817932b950f2774bcb7fa9e88e6"
},
"schema_version": "1.0",
"source": {
"id": "2509.08829",
"kind": "arxiv",
"version": 1
}
}