Pith Number
pith:4YJKMNJX
pith:2022:4YJKMNJXIF7UJFS5USSHY36FEV
not attested
not anchored
not stored
refs pending
Gradient-Based Trajectory Optimization With Learned Dynamics
arxiv:2204.04558 v3 · 2022-04-09 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4YJKMNJXIF7UJFS5USSHY36FEV}
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
✓
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 | 2026-07-05T06:24:23.613599Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e612a63537417f44965da4a47c6fc525670648b470f857b031c29130df1d2d29
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4YJKMNJXIF7UJFS5USSHY36FEV \
| 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: e612a63537417f44965da4a47c6fc525670648b470f857b031c29130df1d2d29
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6752c6853f52c9420696401567aa8951121cc031692e9cfa59251adb54f36375",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2022-04-09T22:07:34Z",
"title_canon_sha256": "f3b8a9646d117a2328d2afd007eb72b1cae8b8d140c6768597cfe4c0f0dcad19"
},
"schema_version": "1.0",
"source": {
"id": "2204.04558",
"kind": "arxiv",
"version": 3
}
}