Pith Number

pith:TUFZ4GQA

pith:2020:TUFZ4GQAEXRPZGOLYJRIU4ULTW

not attested not anchored not stored refs pending

Asymptotic errors for convex penalized linear regression beyond Gaussian matrices

Alia Abbara, C\'edric Gerbelot, Florent Krzakala

arxiv:2002.04372 v1 · 2020-02-11 · stat.ML · cond-mat.dis-nn · cond-mat.stat-mech

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{TUFZ4GQAEXRPZGOLYJRIU4ULTW}

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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

1 paper in Pith

Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders

Receipt and verification

First computed	2026-07-05T00:39:44.724717Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9d0b9e1a0025e2fc99cbc2628a728b9d998629d2c059b5d5868247cef0204ecb

Aliases

arxiv: 2002.04372 · arxiv_version: 2002.04372v1 · doi: 10.48550/arxiv.2002.04372 · pith_short_12: TUFZ4GQAEXRP · pith_short_16: TUFZ4GQAEXRPZGOL · pith_short_8: TUFZ4GQA

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/TUFZ4GQAEXRPZGOLYJRIU4ULTW \
  | 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: 9d0b9e1a0025e2fc99cbc2628a728b9d998629d2c059b5d5868247cef0204ecb

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c8c68499f892846dc821f22c1b488a347fdf6ee000b84f928da1162907bf36e1",
    "cross_cats_sorted": [
      "cond-mat.dis-nn",
      "cond-mat.stat-mech"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2020-02-11T13:43:32Z",
    "title_canon_sha256": "dc8c4b0e5873b717e144b35cad499bd1fe609aaf49e8330a0d18b0dd3de30ea2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2002.04372",
    "kind": "arxiv",
    "version": 1
  }
}