Pith Number
pith:DROWNFE4
pith:2018:DROWNFE4R5AZQXCCYTHKPZFBBS
not attested
not anchored
not stored
refs pending
The Limits and Potentials of Deep Learning for Robotics
arxiv:1804.06557 v1 · 2018-04-18 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DROWNFE4R5AZQXCCYTHKPZFBBS}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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 | 2026-05-18T00:18:06.307413Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1c5d66949c8f41985c42c4cea7e4a10c9cfd56c9c00bf5c7044e095cb0f0157d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DROWNFE4R5AZQXCCYTHKPZFBBS \
| 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: 1c5d66949c8f41985c42c4cea7e4a10c9cfd56c9c00bf5c7044e095cb0f0157d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "64b7e4170e7fcc7d5f8c68cb124551a43e531a9cb5e77f897de77716aecad29f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2018-04-18T05:16:20Z",
"title_canon_sha256": "62ed632160c6fe29a24e867a6c10ca6cc0fe585a6ef5a8b18bfae4c575115a9c"
},
"schema_version": "1.0",
"source": {
"id": "1804.06557",
"kind": "arxiv",
"version": 1
}
}