Pith Number
pith:MYO2GHJI
pith:2021:MYO2GHJIGMRPDNLW5UYVQQW6DC
not attested
not anchored
not stored
refs pending
Information-Theoretic Bias Assessment Of Learned Representations Of Pretrained Face Recognition
arxiv:2111.04673 v2 · 2021-11-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MYO2GHJIGMRPDNLW5UYVQQW6DC}
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 | 2026-07-05T03:30:17.976706Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
661da31d283322f1b576ed315842de18a24523ca268197537ab6e043233b7aa9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MYO2GHJIGMRPDNLW5UYVQQW6DC \
| 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: 661da31d283322f1b576ed315842de18a24523ca268197537ab6e043233b7aa9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bf108d9a0ac2700e646062934190d7d8971ed835499775fcfcca1ffab39668b0",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-11-08T17:41:17Z",
"title_canon_sha256": "1d37376e92fe03faaf79353b56741c109fd9b8ea2caaf7a58608e6993b2e3eed"
},
"schema_version": "1.0",
"source": {
"id": "2111.04673",
"kind": "arxiv",
"version": 2
}
}