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Pith Number

pith:WJJVKXOJ

pith:2016:WJJVKXOJU5DNNDGTFBEJXUW2TH
not attested not anchored not stored refs pending

Learning theory estimates with observations from general stationary stochastic processes

Hanyuan Hang, Ingo Steinwart, Johan A.K. Suykens, Yunlong Feng

arxiv:1605.02887 v1 · 2016-05-10 · stat.ML · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WJJVKXOJU5DNNDGTFBEJXUW2TH}

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 2026-05-18T01:15:08.302247Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b253555dc9a746d68cd328489bd2da99d3d8c600edac126b0251b8ddcc227b19

Aliases

arxiv: 1605.02887 · arxiv_version: 1605.02887v1 · doi: 10.48550/arxiv.1605.02887 · pith_short_12: WJJVKXOJU5DN · pith_short_16: WJJVKXOJU5DNNDGT · pith_short_8: WJJVKXOJ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WJJVKXOJU5DNNDGTFBEJXUW2TH \
  | 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: b253555dc9a746d68cd328489bd2da99d3d8c600edac126b0251b8ddcc227b19
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "c730c7751d0eeae19c1f81f3c0796de47efd3b1a97915e708fa20a9673bc5789",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2016-05-10T08:18:24Z",
    "title_canon_sha256": "2a9f9c2adf9e350f8af08a1325732a06db2a3f2b37b68fc0bea695e1a66be5ad"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1605.02887",
    "kind": "arxiv",
    "version": 1
  }
}