Pith Number
pith:MLFBLOWJ
pith:2025:MLFBLOWJOAHCC6QLTG2PX4HYOU
not attested
not anchored
not stored
refs pending
A Critical Review of Predominant Bias in Neural Networks
arxiv:2502.11031 v1 · 2025-02-16 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MLFBLOWJOAHCC6QLTG2PX4HYOU}
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 | 2026-07-05T10:15:02.713505Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62ca15bac9700e217a0b99b4fbf0f87517b16a807f9fdbf560c9ba5b35497231
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MLFBLOWJOAHCC6QLTG2PX4HYOU \
| 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: 62ca15bac9700e217a0b99b4fbf0f87517b16a807f9fdbf560c9ba5b35497231
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6c6a106ea9170955eaca6149530a285bd71e813ef564c0d38e6c42159c4b59a6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-16T07:55:19Z",
"title_canon_sha256": "dff71ce0fab5dce073b452213179247391eb78921e573dec7bae81e8425e3cf7"
},
"schema_version": "1.0",
"source": {
"id": "2502.11031",
"kind": "arxiv",
"version": 1
}
}