Pith. sign in
Pith Number

pith:JMSWJQRM

pith:2020:JMSWJQRMHEVAC6WZONA3NKJA5M
not attested not anchored not stored refs pending

Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs

Finale Doshi-Velez, Jianzhun Du, Joseph Futoma

arxiv:2006.16210 v2 · 2020-06-29 · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JMSWJQRMHEVAC6WZONA3NKJA5M}

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.
Receipt and verification
First computed 2026-07-05T01:45:43.829379Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4b2564c22c392a017ad97341b6a920eb1d37ad2d337d378597057aec6dc9a826

Aliases

arxiv: 2006.16210 · arxiv_version: 2006.16210v2 · doi: 10.48550/arxiv.2006.16210 · pith_short_12: JMSWJQRMHEVA · pith_short_16: JMSWJQRMHEVAC6WZ · pith_short_8: JMSWJQRM
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JMSWJQRMHEVAC6WZONA3NKJA5M \
  | 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: 4b2564c22c392a017ad97341b6a920eb1d37ad2d337d378597057aec6dc9a826
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "23b159758cd98567b064f694e01594aa43046c443d0567d363d6c14ae3b70a21",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-06-29T17:21:43Z",
    "title_canon_sha256": "aff9553bf4d4ca3b232f316cfa74869ccf9943375566c45eb6c300d2cde48d6c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2006.16210",
    "kind": "arxiv",
    "version": 2
  }
}