pith. sign in
Pith Number

pith:FSJ33WHK

pith:2026:FSJ33WHKNTVDGPZ2IGLKBAECPG
not attested not anchored not stored refs pending

Fast Quadratic Manifold Learning For Nonlinear Dimensionality Reduction in Large-scale Systems using Riemannian Optimization

Gavin Paxton, Rudy Geelen, Seunghee Cheon, Shane A. McQuarrie

arxiv:2605.26039 v1 · 2026-05-25 · math.NA · cs.NA

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FSJ33WHKNTVDGPZ2IGLKBAECPG}

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 2026-05-26T02:05:24.535874Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2c93bdd8ea6cea333f3a4196a0808279be60e9017b4ec6d519a0875a62d584bb

Aliases

arxiv: 2605.26039 · arxiv_version: 2605.26039v1 · doi: 10.48550/arxiv.2605.26039 · pith_short_12: FSJ33WHKNTVD · pith_short_16: FSJ33WHKNTVDGPZ2 · pith_short_8: FSJ33WHK
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FSJ33WHKNTVDGPZ2IGLKBAECPG \
  | 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: 2c93bdd8ea6cea333f3a4196a0808279be60e9017b4ec6d519a0875a62d584bb
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f9cc01bed9a34affb014da386e23a646a1f2491a89dab306e086f90d933b0b19",
    "cross_cats_sorted": [
      "cs.NA"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2026-05-25T17:06:07Z",
    "title_canon_sha256": "b3e487b0aba03f4f7e9496dcc9044e5a4c6e57c5ef4590266a0969f3783a1d8d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.26039",
    "kind": "arxiv",
    "version": 1
  }
}