Pith. sign in
Pith Number

pith:VCPRDMQH

pith:2024:VCPRDMQHH572E5F62DLOG2E3QZ
not attested not anchored not stored refs pending

Mental Modeling of Reinforcement Learning Agents by Language Models

Jae Hee Lee, Josua Spisak, Stefan Wermter, Wenhao Lu, Xufeng Zhao

arxiv:2406.18505 v1 · 2024-06-26 · cs.LG · cs.AI · cs.CL · cs.RO

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VCPRDMQHH572E5F62DLOG2E3QZ}

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 2026-07-05T08:37:10.224599Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a89f11b2073f7fa274bed0d6e3689b8678ee91d581586b0ecb6245bccbf53899

Aliases

arxiv: 2406.18505 · arxiv_version: 2406.18505v1 · doi: 10.48550/arxiv.2406.18505 · pith_short_12: VCPRDMQHH572 · pith_short_16: VCPRDMQHH572E5F6 · pith_short_8: VCPRDMQH
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VCPRDMQHH572E5F62DLOG2E3QZ \
  | 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: a89f11b2073f7fa274bed0d6e3689b8678ee91d581586b0ecb6245bccbf53899
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "1ea24290b075d78a5437bdbdf1e811da9944986ba624be16263da8f65fd8d5a5",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL",
      "cs.RO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-06-26T17:14:45Z",
    "title_canon_sha256": "e8338de434316747a059e3534dc5f4b21fafc98ac7c5ea8be5db31321eabf826"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2406.18505",
    "kind": "arxiv",
    "version": 1
  }
}