Pith Number
pith:BUDSECL3
pith:2025:BUDSECL37NUH3U6ZMBOEKGWC5H
not attested
not anchored
not stored
refs pending
Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization
arxiv:2506.02767 v1 · 2025-06-03 · cs.LG · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BUDSECL37NUH3U6ZMBOEKGWC5H}
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
· sign in to
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 | 2026-07-05T11:15:08.321930Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d0722097bfb687dd3d9605c451ac2e9fc02320883b278af55fce23347e474e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BUDSECL37NUH3U6ZMBOEKGWC5H \
| 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: 0d0722097bfb687dd3d9605c451ac2e9fc02320883b278af55fce23347e474e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4f2567debffdc9fba6e66690745ceb02a31c16a1a18c85053dae1fc11a21b126",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-03T11:30:59Z",
"title_canon_sha256": "9e96671af21a38efc248ff9f64b586c5e369344291dba5218de7d816c9e9df2e"
},
"schema_version": "1.0",
"source": {
"id": "2506.02767",
"kind": "arxiv",
"version": 1
}
}