Pith Number
pith:6TSU6MAJ
pith:2020:6TSU6MAJANE2WC4AZ2N73H3VFQ
not attested
not anchored
not stored
refs pending
A Unifying View on Implicit Bias in Training Linear Neural Networks
arxiv:2010.02501 v3 · 2020-10-06 · cs.LG · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6TSU6MAJANE2WC4AZ2N73H3VFQ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:13:00.532084Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f4e54f30090349ab0b80ce9bfd9f752c14a0cc5a06d5d9737e02d498fd50f455
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6TSU6MAJANE2WC4AZ2N73H3VFQ \
| 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: f4e54f30090349ab0b80ce9bfd9f752c14a0cc5a06d5d9737e02d498fd50f455
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ead9684b3685efd307091bbc39d11904c10e13787587553ab0d263c3fa455842",
"cross_cats_sorted": [
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-10-06T06:08:35Z",
"title_canon_sha256": "804dc466f9c46334797e8765e31ac3f6f7cd0c4129c7587f90e38886fe2ac499"
},
"schema_version": "1.0",
"source": {
"id": "2010.02501",
"kind": "arxiv",
"version": 3
}
}