Pith Number
pith:6WYWUQYQ
pith:2023:6WYWUQYQJS3MZG5ZO3TXXAC3CO
not attested
not anchored
not stored
refs pending
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK
arxiv:2301.00327 v3 · 2023-01-01 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6WYWUQYQJS3MZG5ZO3TXXAC3CO}
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 | 2026-07-05T09:28:08.729718Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f5b16a43104cb6cc9bb976e77b805b1388a61162b6810778ce07893df3fa27fb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6WYWUQYQJS3MZG5ZO3TXXAC3CO \
| 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: f5b16a43104cb6cc9bb976e77b805b1388a61162b6810778ce07893df3fa27fb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e988a6ac47a8e4b014e34879657ea228a0e3749de5b5fee9500170480a9cb3a6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-01-01T02:11:39Z",
"title_canon_sha256": "0df96bced34410fdeb1eefed0ca44e15f0ccbbce8914b473695efb19152fcd44"
},
"schema_version": "1.0",
"source": {
"id": "2301.00327",
"kind": "arxiv",
"version": 3
}
}