Pith Number
pith:62NFR2ON
pith:2017:62NFR2ONPLWOWXUGCZJTF2GTJF
not attested
not anchored
not stored
refs pending
Sequence-based Multimodal Apprenticeship Learning For Robot Perception and Decision Making
arxiv:1702.07475 v1 · 2017-02-24 · cs.RO · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{62NFR2ONPLWOWXUGCZJTF2GTJF}
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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 | 2026-05-18T00:50:03.219255Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f69a58e9cd7aeceb5e86165332e8d3497c0e5246b4dc78daba7e2c7bd3acd91e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/62NFR2ONPLWOWXUGCZJTF2GTJF \
| 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: f69a58e9cd7aeceb5e86165332e8d3497c0e5246b4dc78daba7e2c7bd3acd91e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1c1903fc22aa8d543485d314f7badceccd7c6530b6fd562e94ef94e5d7fe683c",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2017-02-24T06:37:06Z",
"title_canon_sha256": "78b82462c6e77ee81552c66ff7b0f639f502885d6fe8936c80b52436fcff4ad8"
},
"schema_version": "1.0",
"source": {
"id": "1702.07475",
"kind": "arxiv",
"version": 1
}
}