Pith Number

pith:KRZYFGPL

pith:2023:KRZYFGPLH46JXVWZ7FCWC4GUIC

not attested not anchored not stored refs pending

Compressing Neural Networks Using Tensor Networks with Exponentially Fewer Variational Parameters

Ke Li, Peng-Fei Zhou, Shi-Ju Ran, Yong Qing

arxiv:2305.06058 v3 · 2023-05-10 · cs.LG · cs.AI

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{KRZYFGPLH46JXVWZ7FCWC4GUIC}

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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

Quantum-enhanced unsupervised image segmentation for medical images analysis

Receipt and verification

First computed	2026-07-05T11:06:59.991901Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

54738299eb3f3c9bd6d9f9456170d440b6ca857d54432ddef9483580e686b85b

Aliases

arxiv: 2305.06058 · arxiv_version: 2305.06058v3 · doi: 10.48550/arxiv.2305.06058 · pith_short_12: KRZYFGPLH46J · pith_short_16: KRZYFGPLH46JXVWZ · pith_short_8: KRZYFGPL

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/KRZYFGPLH46JXVWZ7FCWC4GUIC \
  | 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: 54738299eb3f3c9bd6d9f9456170d440b6ca857d54432ddef9483580e686b85b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "fdbc7ce295256f6d49cf85570734bc02113c324340948406b35fe544fc458d42",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-05-10T11:24:27Z",
    "title_canon_sha256": "3e83ba0dafd427936ba1cc75f925af3680599260f7e3d3c4baff0d11c9baef73"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2305.06058",
    "kind": "arxiv",
    "version": 3
  }
}