Pith Number
pith:YUMPWVTO
pith:2017:YUMPWVTORNUAQIIVOMCWSWRY72
not attested
not anchored
not stored
refs pending
Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models
arxiv:1711.08275 v2 · 2017-11-22 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YUMPWVTORNUAQIIVOMCWSWRY72}
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 | 2026-05-18T00:09:09.771189Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c518fb566e8b680821157305695a38feb95c98df557bb20f9c67e424ffa58910
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YUMPWVTORNUAQIIVOMCWSWRY72 \
| 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: c518fb566e8b680821157305695a38feb95c98df557bb20f9c67e424ffa58910
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ed377c4d0e8f51deb46d7b18a815a58ea5aa3d323c2e193b223dd3f1f3405a8d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2017-11-22T13:35:07Z",
"title_canon_sha256": "b20f1ddaa8de87fb5f7483a1f2c23b904f3c041a70065dadb5177c255bfadc45"
},
"schema_version": "1.0",
"source": {
"id": "1711.08275",
"kind": "arxiv",
"version": 2
}
}