The reviewed record of science sign in
Pith
Pith Number

pith:CSTR5JUI

pith:2025:CSTR5JUIEHQQJRNK4RJZXIJMGA
not attested not anchored not stored refs pending

The impact of intrinsic rewards on exploration in Reinforcement Learning

Aya Kayal, Eduardo Pignatelli, Laura Toni

arxiv:2501.11533 v1 · 2025-01-20 · cs.AI · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CSTR5JUIEHQQJRNK4RJZXIJMGA}

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

1 paper in Pith

Receipt and verification
First computed 2026-07-05T10:03:09.795760Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

14a71ea68821e104c5aae4539ba12c301498a981809e8741f190e79cc56ed7b0

Aliases

arxiv: 2501.11533 · arxiv_version: 2501.11533v1 · doi: 10.48550/arxiv.2501.11533 · pith_short_12: CSTR5JUIEHQQ · pith_short_16: CSTR5JUIEHQQJRNK · pith_short_8: CSTR5JUI
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CSTR5JUIEHQQJRNK4RJZXIJMGA \
  | 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: 14a71ea68821e104c5aae4539ba12c301498a981809e8741f190e79cc56ed7b0
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f62d09f728efa00987ea68f53a2a131e024fcdd7720886b0c9f7c4f2f248cd49",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-01-20T15:17:24Z",
    "title_canon_sha256": "5200268734c0e80220302a427b87b78a19e8fe9303bdadaa037bfd1ae452f3cb"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.11533",
    "kind": "arxiv",
    "version": 1
  }
}