pith. sign in
Pith Number

pith:V5YIRNYG

pith:2017:V5YIRNYGNFDWI2MQ7WY6LLWJLI
not attested not anchored not stored refs pending

Distributional Reinforcement Learning with Quantile Regression

Marc G. Bellemare, Mark Rowland, R\'emi Munos, Will Dabney

arxiv:1710.10044 v1 · 2017-10-27 · cs.AI · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V5YIRNYGNFDWI2MQ7WY6LLWJLI}

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.

Cited by

5 papers in Pith

Receipt and verification
First computed 2026-05-18T00:31:54.887729Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

af7088b7066947646990fdb1e5aec95a02ab08f2e4375ca166101ae7eee4e640

Aliases

arxiv: 1710.10044 · arxiv_version: 1710.10044v1 · doi: 10.48550/arxiv.1710.10044 · pith_short_12: V5YIRNYGNFDW · pith_short_16: V5YIRNYGNFDWI2MQ · pith_short_8: V5YIRNYG
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V5YIRNYGNFDWI2MQ7WY6LLWJLI \
  | 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: af7088b7066947646990fdb1e5aec95a02ab08f2e4375ca166101ae7eee4e640
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a49b1c4448e66180f3da24c4dd64dcd5113f40a8cef0a41bc849144d3c2663d3",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2017-10-27T09:35:26Z",
    "title_canon_sha256": "bf8f5481e36eaefb0f3dc87d48f8a7a310f035fcbb71fa58785301adfa996a14"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1710.10044",
    "kind": "arxiv",
    "version": 1
  }
}