Pith Number
pith:RZRTHHOH
pith:2017:RZRTHHOHLSX6OBQDX7TEOUNGG6
not attested
not anchored
not stored
refs pending
Active End-Effector Pose Selection for Tactile Object Recognition through Monte Carlo Tree Search
arxiv:1703.00095 v3 · 2017-03-01 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RZRTHHOHLSX6OBQDX7TEOUNGG6}
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 | 2026-05-18T00:39:12.642244Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8e63339dc75cafe70603bfe64751a637a31260ed2cc278a169c59bf9dada4c7d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RZRTHHOHLSX6OBQDX7TEOUNGG6 \
| 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: 8e63339dc75cafe70603bfe64751a637a31260ed2cc278a169c59bf9dada4c7d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "41ebec9ccd163adbc3a080dfc39b8c6eaf29e44cfaba0215810b362acaf06c90",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2017-03-01T00:52:23Z",
"title_canon_sha256": "2fc8d629a49c953f84e9d88339fb5db0f550e321b98dfdc24a8a107777e99bba"
},
"schema_version": "1.0",
"source": {
"id": "1703.00095",
"kind": "arxiv",
"version": 3
}
}