Pith Number
pith:LZI3BMEP
pith:2020:LZI3BMEPBWMCKFWMDQE6FIRSG3
not attested
not anchored
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refs pending
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study
arxiv:2003.07680 v2 · 2020-03-13 · cs.CY · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LZI3BMEPBWMCKFWMDQE6FIRSG3}
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
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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 | 2026-07-05T00:49:02.278655Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e51b0b08f0d982516cc1c09e2a23236e0c5bdcf42e01542b746fa221b0b6a06
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LZI3BMEPBWMCKFWMDQE6FIRSG3 \
| 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: 5e51b0b08f0d982516cc1c09e2a23236e0c5bdcf42e01542b746fa221b0b6a06
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e150a24682e58477292b5218fd68077c486ed1318c16da26e50be5093778e03d",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2020-03-13T00:18:58Z",
"title_canon_sha256": "be69541c8f11e0187871ad57e393d5d60b77f2f4d3c1993c32516dd4523b067c"
},
"schema_version": "1.0",
"source": {
"id": "2003.07680",
"kind": "arxiv",
"version": 2
}
}