pith. sign in
Pith Number

pith:DR2NAMPH

pith:2016:DR2NAMPHUVESO25Z4LD6ZMM6VH
not attested not anchored not stored refs pending

Practical Algorithms for Learning Near-Isometric Linear Embeddings

Hao-Jun Michael Shi, Jerry Luo, Kan Zhu, Kayla Shapiro, Qi Yang

arxiv:1601.00062 v2 · 2016-01-01 · stat.ML · cs.LG · math.OC

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DR2NAMPHUVESO25Z4LD6ZMM6VH}

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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.
Receipt and verification
First computed 2026-05-18T01:16:24.409142Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1c74d031e7a549276bb9e2c7ecb19ea9c9cc8f194fc757cc2b5046c819057c9a

Aliases

arxiv: 1601.00062 · arxiv_version: 1601.00062v2 · doi: 10.48550/arxiv.1601.00062 · pith_short_12: DR2NAMPHUVES · pith_short_16: DR2NAMPHUVESO25Z · pith_short_8: DR2NAMPH
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DR2NAMPHUVESO25Z4LD6ZMM6VH \
  | 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: 1c74d031e7a549276bb9e2c7ecb19ea9c9cc8f194fc757cc2b5046c819057c9a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e6ecf9fec8e2dad58241059f6cdeb9548fc7fab0dc5690e0fc584eb1d0fe6809",
    "cross_cats_sorted": [
      "cs.LG",
      "math.OC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2016-01-01T09:06:11Z",
    "title_canon_sha256": "4f75e47dd1ef0293554a70833c17c5a1b7fd58e7ca6c00b7890970cca4952758"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1601.00062",
    "kind": "arxiv",
    "version": 2
  }
}