Pith Number
pith:4ABZMRJZ
pith:2019:4ABZMRJZYJLDFOZPBGDYFKN3DP
not attested
not anchored
not stored
refs pending
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models
arxiv:1911.03623 v1 · 2019-11-09 · cs.CR · cs.DB · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4ABZMRJZYJLDFOZPBGDYFKN3DP}
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 | 2026-07-05T00:18:27.200399Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e003964539c25632bb2f098782a9bb1bc096ff6205fd681e488b1612bf7f47c7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4ABZMRJZYJLDFOZPBGDYFKN3DP \
| 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: e003964539c25632bb2f098782a9bb1bc096ff6205fd681e488b1612bf7f47c7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "426842c783df0112ea200ace325ac06bb1519efe12d495f2274e37a96b177bbf",
"cross_cats_sorted": [
"cs.DB",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2019-11-09T06:43:21Z",
"title_canon_sha256": "a457fc638890f046b4a978aa8281d2577eee1ea8d4d45301d31de0e0e258cb47"
},
"schema_version": "1.0",
"source": {
"id": "1911.03623",
"kind": "arxiv",
"version": 1
}
}