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Pith Number

pith:IW5HLNBX

pith:2018:IW5HLNBXMUOM53UXKWDSHAR46O
not attested not anchored not stored refs pending

Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation

Brendan Englot, Jinkun Wang, John Martin

arxiv:1810.01217 v1 · 2018-10-02 · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IW5HLNBXMUOM53UXKWDSHAR46O}

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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 2026-05-18T00:04:18.491287Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

45ba75b437651cceee97558723823cf3a40b9a5f1f16b0eb060f4c18a922f09a

Aliases

arxiv: 1810.01217 · arxiv_version: 1810.01217v1 · doi: 10.48550/arxiv.1810.01217 · pith_short_12: IW5HLNBXMUOM · pith_short_16: IW5HLNBXMUOM53UX · pith_short_8: IW5HLNBX
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IW5HLNBXMUOM53UXKWDSHAR46O \
  | 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: 45ba75b437651cceee97558723823cf3a40b9a5f1f16b0eb060f4c18a922f09a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "fbae8f057cdc127bee267ccd047f815cf4bb06928eb54a78ab5a5cec5c42cc34",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-10-02T13:04:47Z",
    "title_canon_sha256": "d275f8f15249d1bcbd03e5943ed11b11c0d84fae541f1a712e9dac77fe19e2d9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1810.01217",
    "kind": "arxiv",
    "version": 1
  }
}