Pith Number

pith:YWGBSHP3

pith:2021:YWGBSHP3MGPG7TEGZIQP2XQDOG

not attested not anchored not stored refs pending

Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks

Alberto Bietti, Carles Domingo-Enrich, Eric Vanden-Eijnden, Joan Bruna, Marylou Gabri\'e

arxiv:2107.05134 v2 · 2021-07-11 · cs.LG · math.OC · stat.ML

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\usepackage{pith}
\pithnumber{YWGBSHP3MGPG7TEGZIQP2XQDOG}

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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

Jarzynski Reweighting and Sampling Dynamics for Training Energy-Based Models: Theoretical Analysis of Different Transition Kernels

Receipt and verification

First computed	2026-07-05T03:56:47.839386Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c58c191dfb619e6fcc86ca20fd5e0371a83d1829f9a2b2ee6aeac0b31f79ee2a

Aliases

arxiv: 2107.05134 · arxiv_version: 2107.05134v2 · doi: 10.48550/arxiv.2107.05134 · pith_short_12: YWGBSHP3MGPG · pith_short_16: YWGBSHP3MGPG7TEG · pith_short_8: YWGBSHP3

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/YWGBSHP3MGPG7TEGZIQP2XQDOG \
  | 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: c58c191dfb619e6fcc86ca20fd5e0371a83d1829f9a2b2ee6aeac0b31f79ee2a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "1183ec60253c39627e746524c43346d7f92c06233b93bc5e8c0c4b419c961d30",
    "cross_cats_sorted": [
      "math.OC",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2021-07-11T21:43:18Z",
    "title_canon_sha256": "16a5756b80f91ed792b86ff974e964eb723c23a8a57fd9d52cf3e6295e31fbc4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2107.05134",
    "kind": "arxiv",
    "version": 2
  }
}