Pith Number
pith:QCWU5I3J
pith:2021:QCWU5I3JYGUBTLUTPYKYXJFVKS
not attested
not anchored
not stored
refs pending
Trajectory Planning with Deep Reinforcement Learning in High-Level Action Spaces
arxiv:2110.00044 v2 · 2021-09-30 · eess.SY · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QCWU5I3JYGUBTLUTPYKYXJFVKS}
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 | 2026-07-05T06:51:47.596073Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
80ad4ea369c1a819ae937e158ba4b5548a3bcc0e4ca65f891d3612560bdbb52b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QCWU5I3JYGUBTLUTPYKYXJFVKS \
| 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: 80ad4ea369c1a819ae937e158ba4b5548a3bcc0e4ca65f891d3612560bdbb52b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "41c79842daa1a0f767f33b4781b1c50f5f143400208bd9be512ed8d48f998bca",
"cross_cats_sorted": [
"cs.SY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SY",
"submitted_at": "2021-09-30T18:50:16Z",
"title_canon_sha256": "0fdf36b69fa2c4c3a00565d7d419b53847849e4be42a5c510752a0b78ab43c3a"
},
"schema_version": "1.0",
"source": {
"id": "2110.00044",
"kind": "arxiv",
"version": 2
}
}