pith. sign in
Pith Number

pith:PLNHDJAB

pith:2016:PLNHDJABI7XJ4ED4UDC3AXKXZG
not attested not anchored not stored refs pending

Supervised Quantum Learning without Measurements

Enrique Solano, Jos\'e D. Mart\'in-Guerrero, Lucas Lamata, Pablo Escandell-Montero, Unai Alvarez-Rodriguez

arxiv:1612.05535 v2 · 2016-12-16 · quant-ph · cond-mat.mes-hall · cond-mat.supr-con · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PLNHDJABI7XJ4ED4UDC3AXKXZG}

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.
Receipt and verification
First computed 2026-05-18T00:32:20.995021Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7ada71a40147ee9e107ca0c5b05d57c9b0f6cfc97b44466f66f1b0cee9f4937f

Aliases

arxiv: 1612.05535 · arxiv_version: 1612.05535v2 · doi: 10.48550/arxiv.1612.05535 · pith_short_12: PLNHDJABI7XJ · pith_short_16: PLNHDJABI7XJ4ED4 · pith_short_8: PLNHDJAB
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PLNHDJABI7XJ4ED4UDC3AXKXZG \
  | 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: 7ada71a40147ee9e107ca0c5b05d57c9b0f6cfc97b44466f66f1b0cee9f4937f
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "23b42aacfa04ba3e1a76bb50690863c11f8d154db933efbfefc14f4f13a29823",
    "cross_cats_sorted": [
      "cond-mat.mes-hall",
      "cond-mat.supr-con",
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "quant-ph",
    "submitted_at": "2016-12-16T16:15:45Z",
    "title_canon_sha256": "aed4864cb66d16090f99d7b2e229831222c8a7416368a9fc69fcac9415e12526"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1612.05535",
    "kind": "arxiv",
    "version": 2
  }
}