Pith Number

pith:YM77LOOC

pith:2018:YM77LOOCA2P73NZQIHZYOKJGQZ

not attested not anchored not stored refs pending

Solving Statistical Mechanics Using Variational Autoregressive Networks

Dian Wu, Lei Wang, Pan Zhang

arxiv:1809.10606 v2 · 2018-09-27 · cond-mat.stat-mech · cond-mat.dis-nn · cs.LG · stat.ML

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{YM77LOOCA2P73NZQIHZYOKJGQZ}

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

1 paper in Pith

Sampling two-dimensional spin systems with transformers

Receipt and verification

First computed	2026-05-17T23:44:00.149868Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c33ff5b9c2069ffdb73041f38729268643d22bd2ca6ef063d5e07c896363302f

Aliases

arxiv: 1809.10606 · arxiv_version: 1809.10606v2 · doi: 10.48550/arxiv.1809.10606 · pith_short_12: YM77LOOCA2P7 · pith_short_16: YM77LOOCA2P73NZQ · pith_short_8: YM77LOOC

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/YM77LOOCA2P73NZQIHZYOKJGQZ \
  | 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: c33ff5b9c2069ffdb73041f38729268643d22bd2ca6ef063d5e07c896363302f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "76b3e4dc3b90e1014991e3b559ab5b616aff751e7b819a7098677468a027705b",
    "cross_cats_sorted": [
      "cond-mat.dis-nn",
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cond-mat.stat-mech",
    "submitted_at": "2018-09-27T16:18:23Z",
    "title_canon_sha256": "7e55a45c9d6006031bb3821a86abd676f153edb2d7fb128644acb79ac9c28ddc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1809.10606",
    "kind": "arxiv",
    "version": 2
  }
}