Pith Number
pith:B3JRMSED
pith:2019:B3JRMSEDSAQS4CFWATXVV65443
not attested
not anchored
not stored
refs pending
Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks
arxiv:1909.11387 v3 · 2019-09-25 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B3JRMSEDSAQS4CFWATXVV65443}
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 | 2026-07-05T04:20:26.879780Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ed316488390212e08b604ef5afbbce6e8358b6d89bc912abbbf453b0b7a5e08
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B3JRMSEDSAQS4CFWATXVV65443 \
| 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: 0ed316488390212e08b604ef5afbbce6e8358b6d89bc912abbbf453b0b7a5e08
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d5ac46b56ff19e6dd0424c720075bb239bb608b57f5763809daff4659624b03c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2019-09-25T10:28:04Z",
"title_canon_sha256": "afa9e8fec3e799e25943b50785e01faee1d230210e0dd2e8ee0c5957296001f5"
},
"schema_version": "1.0",
"source": {
"id": "1909.11387",
"kind": "arxiv",
"version": 3
}
}