Pith Number

pith:HNBTOLCF

pith:2024:HNBTOLCFWROJMUVZOE4UL5ZWAQ

not attested not anchored not stored refs pending

How many samples are needed to train a deep neural network?

Johannes Lederer, Mahsa Taheri, Pegah Golestaneh

arxiv:2405.16696 v2 · 2024-05-26 · math.ST · stat.ML · stat.TH

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{HNBTOLCFWROJMUVZOE4UL5ZWAQ}

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.

Cited by

2 papers in Pith

Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records

How Many Training Samples Are Needed for the Inverse Kinematics Solutions by Artificial Neural Networks

Receipt and verification

First computed	2026-07-05T11:59:05.344198Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3b43372c45b45c9652b9713945f7360402590ce395e9b27d90167a4dca43d91e

Aliases

arxiv: 2405.16696 · arxiv_version: 2405.16696v2 · doi: 10.48550/arxiv.2405.16696 · pith_short_12: HNBTOLCFWROJ · pith_short_16: HNBTOLCFWROJMUVZ · pith_short_8: HNBTOLCF

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/HNBTOLCFWROJMUVZOE4UL5ZWAQ \
  | 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: 3b43372c45b45c9652b9713945f7360402590ce395e9b27d90167a4dca43d91e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "01d7f268f740749fc8535411f842d33b2f1c6a295cb84cb12ece8e40209ea231",
    "cross_cats_sorted": [
      "stat.ML",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.ST",
    "submitted_at": "2024-05-26T21:07:21Z",
    "title_canon_sha256": "6ac8a0e49cac0d3aa9c32fbf6339abb0c0ae5f4a49e8cd11a894dcc73d301e54"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2405.16696",
    "kind": "arxiv",
    "version": 2
  }
}