Pith Number
pith:YGMC4CKV
pith:2024:YGMC4CKVLDGQF6L34EE5LQZNII
not attested
not anchored
not stored
refs pending
Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models
arxiv:2412.19948 v3 · 2024-12-27 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YGMC4CKVLDGQF6L34EE5LQZNII}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:53:43.472234Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c1982e095558cd02f97be109d5c32d42269ee815b79d47326051d9a916801aaa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YGMC4CKVLDGQF6L34EE5LQZNII \
| 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: c1982e095558cd02f97be109d5c32d42269ee815b79d47326051d9a916801aaa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9815c8ea517ea603d9cce1bc1846428d27b3238d997b85185dc3eeb02c21e779",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-12-27T23:03:58Z",
"title_canon_sha256": "4d4aa771044966e7a962e64ac3d78327f1fdc5a3e0374a213825ee4e4348ad8f"
},
"schema_version": "1.0",
"source": {
"id": "2412.19948",
"kind": "arxiv",
"version": 3
}
}