Pith. sign in
Pith Number

pith:5T5WPHL4

pith:2021:5T5WPHL4XV55S26SVEYR2NQWFE
not attested not anchored not stored refs pending

Learning through atypical "phase transitions" in overparameterized neural networks

Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina, Rosalba Pacelli

arxiv:2110.00683 v2 · 2021-10-01 · cs.LG · cond-mat.dis-nn · math.PR · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5T5WPHL4XV55S26SVEYR2NQWFE}

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 2026-07-05T04:43:34.744969Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ecfb679d7cbd7bd96bd2a9311d3616290dfd25d4266051430e4270ea0434272a

Aliases

arxiv: 2110.00683 · arxiv_version: 2110.00683v2 · doi: 10.48550/arxiv.2110.00683 · pith_short_12: 5T5WPHL4XV55 · pith_short_16: 5T5WPHL4XV55S26S · pith_short_8: 5T5WPHL4
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5T5WPHL4XV55S26SVEYR2NQWFE \
  | 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: ecfb679d7cbd7bd96bd2a9311d3616290dfd25d4266051430e4270ea0434272a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "d8a8a36a9f89153df676b5fe7caa343659d92e4851b29cd5c7aa324a32b53fc0",
    "cross_cats_sorted": [
      "cond-mat.dis-nn",
      "math.PR",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2021-10-01T23:28:07Z",
    "title_canon_sha256": "e9314069280827d7d383ae4eccf91636a06c5ac5ce24744b56a06e392903fd0e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2110.00683",
    "kind": "arxiv",
    "version": 2
  }
}