Pith Number
pith:H64JRQBN
pith:2026:H64JRQBNA5TPW7ZJ2WYXZ4ML4D
not attested
not anchored
not stored
refs pending
Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment
arxiv:2606.02198 v1 · 2026-06-01 · cs.LG · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H64JRQBNA5TPW7ZJ2WYXZ4ML4D}
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 | 2026-06-02T03:04:52.947782Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3fb898c02d0766fb7f29d5b17cf18be0e1b2b0cf0e08a7009e32fe8f8641615b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H64JRQBNA5TPW7ZJ2WYXZ4ML4D \
| 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: 3fb898c02d0766fb7f29d5b17cf18be0e1b2b0cf0e08a7009e32fe8f8641615b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "afdb096dd976b88e3ce2ca984b38eed8f95230df30dcc281fe1ee310d535d038",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-01T12:53:54Z",
"title_canon_sha256": "8d52cb254598c3bd23bbb4d320e3bbf9d1aa162fc4bf8e579062849f6a0566b9"
},
"schema_version": "1.0",
"source": {
"id": "2606.02198",
"kind": "arxiv",
"version": 1
}
}