Pith Number

pith:KYFANIMU

pith:2019:KYFANIMUOAUWI3MX7WXA3OZNS5

not attested not anchored not stored refs pending

Tree Tensor Networks for Generative Modeling

Lei Wang, Pan Zhang, Song Cheng, Tao Xiang

arxiv:1901.02217 v1 · 2019-01-08 · stat.ML · cond-mat.stat-mech · cs.LG · quant-ph

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{KYFANIMUOAUWI3MX7WXA3OZNS5}

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

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach

Receipt and verification

First computed	2026-05-17T23:46:35.955967Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

560a06a1947029646d97fdae0dbb2d976955c7ae0c9db211c9cf38de015e87e3

Aliases

arxiv: 1901.02217 · arxiv_version: 1901.02217v1 · doi: 10.48550/arxiv.1901.02217 · pith_short_12: KYFANIMUOAUW · pith_short_16: KYFANIMUOAUWI3MX · pith_short_8: KYFANIMU

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/KYFANIMUOAUWI3MX7WXA3OZNS5 \
  | 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: 560a06a1947029646d97fdae0dbb2d976955c7ae0c9db211c9cf38de015e87e3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3d46afbcf141c892578369516714dceae7775f71683daedfe11d05f981af0298",
    "cross_cats_sorted": [
      "cond-mat.stat-mech",
      "cs.LG",
      "quant-ph"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2019-01-08T09:34:01Z",
    "title_canon_sha256": "1057448c1153790da9e1556da4f464e011cc67983fab26dddde2d3693959a9c7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1901.02217",
    "kind": "arxiv",
    "version": 1
  }
}