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Pith Number

pith:52Z2GCOI

pith:2016:52Z2GCOIWERSQFMQ6MHDK64W3B
not attested not anchored not stored refs pending

Machine learning meets network science: dimensionality reduction for fast and efficient embedding of networks in the hyperbolic space

Alessandro Muscoloni, Carlo Vittorio Cannistraci, Ginestra Bianconi, Josephine Maria Thomas, Sara Ciucci

arxiv:1602.06522 v1 · 2016-02-21 · cond-mat.dis-nn · cs.AI · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{52Z2GCOIWERSQFMQ6MHDK64W3B}

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 2026-05-18T00:28:38.184342Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

eeb3a309c8b123281590f30e357b96d84e95db96aa5c2b11e7050ce2240d9ecc

Aliases

arxiv: 1602.06522 · arxiv_version: 1602.06522v1 · doi: 10.48550/arxiv.1602.06522 · pith_short_12: 52Z2GCOIWERS · pith_short_16: 52Z2GCOIWERSQFMQ · pith_short_8: 52Z2GCOI
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/52Z2GCOIWERSQFMQ6MHDK64W3B \
  | 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: eeb3a309c8b123281590f30e357b96d84e95db96aa5c2b11e7050ce2240d9ecc
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "2b1a0339b03650d1ceaf8f5ba9e8a7184b20cdfeefd4d974eaf0a828ddf700e9",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cond-mat.dis-nn",
    "submitted_at": "2016-02-21T12:39:58Z",
    "title_canon_sha256": "19c07d1f401ca8971967d14604361e2683c834182c5497fcaaa8bb6b5b97b918"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1602.06522",
    "kind": "arxiv",
    "version": 1
  }
}