Pith Number
pith:37Z2EC34
pith:2022:37Z2EC34X2GYMECM22FOLXTDTU
not attested
not anchored
not stored
refs pending
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
arxiv:2210.08408 v1 · 2022-10-16 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{37Z2EC34X2GYMECM22FOLXTDTU}
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 | 2026-07-05T11:20:00.861709Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dff3a20b7cbe8d86104cd68ae5de639d1a5508154c3d071e00418ebd4dc2615a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/37Z2EC34X2GYMECM22FOLXTDTU \
| 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: dff3a20b7cbe8d86104cd68ae5de639d1a5508154c3d071e00418ebd4dc2615a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "819f3d9f526d4a104da935cdd56e366618cb3118897aee51091e5fe95a327ff8",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2022-10-16T01:27:16Z",
"title_canon_sha256": "51224a8985d84fbdde60a84e1213f9e94d81434840c14db9036cb9bedf21d0f7"
},
"schema_version": "1.0",
"source": {
"id": "2210.08408",
"kind": "arxiv",
"version": 1
}
}