Pith Number
pith:OLEJHDAQ
pith:2023:OLEJHDAQPPAWGRRQUX64ASPPK2
not attested
not anchored
not stored
refs pending
Detection and Evaluation of bias-inducing Features in Machine learning
arxiv:2310.12805 v1 · 2023-10-19 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OLEJHDAQPPAWGRRQUX64ASPPK2}
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 | 2026-07-05T07:02:42.936226Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
72c8938c107bc1634630a5fdc049ef56aa3efc749fc60db735ad6cebeca1b882
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OLEJHDAQPPAWGRRQUX64ASPPK2 \
| 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: 72c8938c107bc1634630a5fdc049ef56aa3efc749fc60db735ad6cebeca1b882
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5289463c7d369075eae84b2a1d95c1722571d08edef6f1b0abf40d4b3638f9fb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-19T15:01:16Z",
"title_canon_sha256": "c6266e2d1e34873becec103916af465fe3af7cbcbfefafd2a918ae92bc8523ed"
},
"schema_version": "1.0",
"source": {
"id": "2310.12805",
"kind": "arxiv",
"version": 1
}
}