Pith Number
pith:CJFCNBKD
pith:2025:CJFCNBKDBFJNHU4PKZDMSA6YL3
not attested
not anchored
not stored
refs pending
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
arxiv:2501.11135 v1 · 2025-01-19 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CJFCNBKDBFJNHU4PKZDMSA6YL3}
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 | 2026-07-05T10:03:03.862597Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
124a2685430952d3d38f5646c903d85ed40edd508ff9c5fb1350a77109ce8583
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CJFCNBKDBFJNHU4PKZDMSA6YL3 \
| 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: 124a2685430952d3d38f5646c903d85ed40edd508ff9c5fb1350a77109ce8583
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "00843c1f72e373bb53e3607b61d6b591b31f5e24154b60ea7d3d1e804a67f6d4",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-19T18:05:13Z",
"title_canon_sha256": "3da3f2de9e4f9014282594cd6889df8c98a8e0787c905bfc4936b6fffc5d1394"
},
"schema_version": "1.0",
"source": {
"id": "2501.11135",
"kind": "arxiv",
"version": 1
}
}