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Pith Number

pith:NCYFGCYT

pith:2015:NCYFGCYTLNQ6N744TFTGFVTQG5
not attested not anchored not stored refs pending

On Convolutional Approximations to Linear Dimensionality Reduction Operators for Large Scale Data Processing

Jarvis Haupt, Swayambhoo Jain

arxiv:1502.07017 v1 · 2015-02-25 · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NCYFGCYTLNQ6N744TFTGFVTQG5}

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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 2026-05-18T02:26:12.104248Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

68b0530b135b61e6ff9c996662d670375a7a46bd37b14a25b02736cc7489826a

Aliases

arxiv: 1502.07017 · arxiv_version: 1502.07017v1 · doi: 10.48550/arxiv.1502.07017 · pith_short_12: NCYFGCYTLNQ6 · pith_short_16: NCYFGCYTLNQ6N744 · pith_short_8: NCYFGCYT
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NCYFGCYTLNQ6N744TFTGFVTQG5 \
  | 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: 68b0530b135b61e6ff9c996662d670375a7a46bd37b14a25b02736cc7489826a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "6ba2bd83e94c0e10aefa93844b6224209e2d0b11a612fe155850023bf39b866f",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2015-02-25T00:45:41Z",
    "title_canon_sha256": "aa9cb33f326e78d5008dbc950a81458a02cdab0c83192b87e196b30f3194f018"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1502.07017",
    "kind": "arxiv",
    "version": 1
  }
}