Pith Number
pith:3O2UVZD3
pith:2023:3O2UVZD3ZY7GUE434L6RGGH5KE
not attested
not anchored
not stored
refs pending
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways
arxiv:2311.09878 v1 · 2023-11-16 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3O2UVZD3ZY7GUE434L6RGGH5KE}
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
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claim
4
Citations
5
Replications
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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 | 2026-07-05T07:13:34.175875Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dbb54ae47bce3e6a139be2fd1318fd5102d564ec6b6a42f4b351e5d953c71a9a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3O2UVZD3ZY7GUE434L6RGGH5KE \
| 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: dbb54ae47bce3e6a139be2fd1318fd5102d564ec6b6a42f4b351e5d953c71a9a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fdb08544c18eaf441f9d225ac2d945bd40121e3e8e8aa1b6d008d6ac6fd71caa",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-16T13:12:58Z",
"title_canon_sha256": "38f69e729cbdd0e31ab033769b819d55e68e9a8dc3c7fb785552fc5481a3d10f"
},
"schema_version": "1.0",
"source": {
"id": "2311.09878",
"kind": "arxiv",
"version": 1
}
}