Pith. sign in
Pith Number

pith:M5CNC7KC

pith:2025:M5CNC7KCVIOMNUIOICH7U5RFSP
not attested not anchored not stored refs pending

Goal-Conditioned Reinforcement Learning for Data-Driven Maritime Navigation

Anand Lo, Dilith Jayakody, Gabriel Spadon, Md Mahbub Alam, Samruddhi Mulay, Vaishnav Vaidheeswaran

arxiv:2509.01838 v1 · 2025-09-01 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M5CNC7KCVIOMNUIOICH7U5RFSP}

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 2026-07-05T12:03:09.779854Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6744d17d42aa1cc6d10e408ffa762593e6b9188565884bb25e935444636ec5d4

Aliases

arxiv: 2509.01838 · arxiv_version: 2509.01838v1 · doi: 10.48550/arxiv.2509.01838 · pith_short_12: M5CNC7KCVIOM · pith_short_16: M5CNC7KCVIOMNUIO · pith_short_8: M5CNC7KC
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M5CNC7KCVIOMNUIOICH7U5RFSP \
  | 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: 6744d17d42aa1cc6d10e408ffa762593e6b9188565884bb25e935444636ec5d4
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "2f751ecea24408b5e8d50f8c8bbe7944ed41851edabd314d2af168ce170715c7",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-09-01T23:42:16Z",
    "title_canon_sha256": "2062e82b38c963c9331560d069bd59d0b74b41750b0cdb2c3e9eb748a1ae44b5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2509.01838",
    "kind": "arxiv",
    "version": 1
  }
}