Pith

open record

sign in
Browse
Pith Number

pith:BOPK7LMO

pith:2021:BOPK7LMOCFGD2NCEW6SNWSNWJC
not attested not anchored not stored refs pending

Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed

Florent Krzakala, Lenka Zdeborov\'a, Maria Refinetti, Sebastian Goldt

arxiv:2102.11742 v2 · 2021-02-23 · cs.LG · cond-mat.dis-nn · cond-mat.stat-mech · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BOPK7LMOCFGD2NCEW6SNWSNWJC}

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 2026-07-05T02:48:10.492694Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0b9eafad8e114c3d3444b7a4db49b648a2ea726dda68a40f2fbb5097a9f07192

Aliases

arxiv: 2102.11742 · arxiv_version: 2102.11742v2 · doi: 10.48550/arxiv.2102.11742 · pith_short_12: BOPK7LMOCFGD · pith_short_16: BOPK7LMOCFGD2NCE · pith_short_8: BOPK7LMO
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BOPK7LMOCFGD2NCEW6SNWSNWJC \
  | 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: 0b9eafad8e114c3d3444b7a4db49b648a2ea726dda68a40f2fbb5097a9f07192
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "75b569a049ff640658cb2260ca8fbb82d0205a823aa44627d88ab6e0be0b5454",
    "cross_cats_sorted": [
      "cond-mat.dis-nn",
      "cond-mat.stat-mech",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2021-02-23T15:10:15Z",
    "title_canon_sha256": "428267565f764caa08049a677248e85435a37ab4c097d5cb522d84ea4ba6b138"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2102.11742",
    "kind": "arxiv",
    "version": 2
  }
}