Pith Number
pith:BGRJJKQW
pith:2025:BGRJJKQWETICWLDUWS2DKEH6A2
not attested
not anchored
not stored
refs pending
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
arxiv:2506.11653 v3 · 2025-06-13 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BGRJJKQWETICWLDUWS2DKEH6A2}
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 | 2026-06-01T01:03:43.514462Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09a294aa1624d02b2c74b4b43510fe069bc57f24087b35949493c52d7a5ca34d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BGRJJKQWETICWLDUWS2DKEH6A2 \
| 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: 09a294aa1624d02b2c74b4b43510fe069bc57f24087b35949493c52d7a5ca34d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "465b59c65494297fe7c92d62d072d298e4c56306a9a1b1f1bc2698f276ddb70b",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-13T10:29:03Z",
"title_canon_sha256": "47e45ba13b17860af26d26da7915ccd6289fc9d781d69531ad5f2f9557b6daf2"
},
"schema_version": "1.0",
"source": {
"id": "2506.11653",
"kind": "arxiv",
"version": 3
}
}