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Pith Number

pith:NETGXAYQ

pith:2018:NETGXAYQ5BGXZ2M7E73Y7GL4SR
not attested not anchored not stored refs pending

Nonlinear Distributional Gradient Temporal-Difference Learning

Chao Qu, Huan Xu, Shie Mannor

arxiv:1805.07732 v3 · 2018-05-20 · cs.LG · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NETGXAYQ5BGXZ2M7E73Y7GL4SR}

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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 2026-05-17T23:49:33.603034Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

69266b8310e84d7ce99f27f78f997c947b0f23329701d07d1149f7a8b2b48b72

Aliases

arxiv: 1805.07732 · arxiv_version: 1805.07732v3 · doi: 10.48550/arxiv.1805.07732 · pith_short_12: NETGXAYQ5BGX · pith_short_16: NETGXAYQ5BGXZ2M7 · pith_short_8: NETGXAYQ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NETGXAYQ5BGXZ2M7E73Y7GL4SR \
  | 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: 69266b8310e84d7ce99f27f78f997c947b0f23329701d07d1149f7a8b2b48b72
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "8a1d560dedf2e5fb2f66190da42ab83ffe0c9fa8b868328f9a4180ea66592063",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-05-20T08:43:05Z",
    "title_canon_sha256": "3e4274f579ad419fce1e9d8b727a437276ab6d32a377b5710587518bd95f2bb3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1805.07732",
    "kind": "arxiv",
    "version": 3
  }
}