Pith Number
pith:TTSQMJKI
pith:2022:TTSQMJKIYXCHTUQUKUO2R3FPKC
not attested
not anchored
not stored
refs pending
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis
arxiv:2210.04491 v1 · 2022-10-10 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TTSQMJKIYXCHTUQUKUO2R3FPKC}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T05:04:53.923088Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9ce5062548c5c479d214551da8ecaf509e8c615158ec4e051383dbc9eed85816
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TTSQMJKIYXCHTUQUKUO2R3FPKC \
| 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: 9ce5062548c5c479d214551da8ecaf509e8c615158ec4e051383dbc9eed85816
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8cbf8c12f02970a7e0b5b3b8cc153d3a8ed7b99b5bf331437293a0605540f336",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-10-10T08:40:32Z",
"title_canon_sha256": "a7b076e278b76bac0c455b2be23856eed65844725fdbcf8d4e1fece4021d034b"
},
"schema_version": "1.0",
"source": {
"id": "2210.04491",
"kind": "arxiv",
"version": 1
}
}