Pith. sign in
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

Andrea Migliorati, Giulia Fracastoro, Giuseppe C. Calafiore, Sophie M. Fosson

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 open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 2501.11135 · arxiv_version: 2501.11135v1 · doi: 10.48550/arxiv.2501.11135 · pith_short_12: CJFCNBKDBFJN · pith_short_16: CJFCNBKDBFJNHU4P · pith_short_8: CJFCNBKD
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
  }
}