Pith Number
pith:NNISI7E6
pith:2019:NNISI7E6JPCNQUSWFARXXGH7XL
not attested
not anchored
not stored
refs pending
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning
arxiv:1910.08811 v1 · 2019-10-19 · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NNISI7E6JPCNQUSWFARXXGH7XL}
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 | 2026-07-05T00:13:19.869367Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6b51247c9e4bc4d8525628237b98ffbaff921d2abeec6e465ac447f85a028349
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NNISI7E6JPCNQUSWFARXXGH7XL \
| 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: 6b51247c9e4bc4d8525628237b98ffbaff921d2abeec6e465ac447f85a028349
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d681a606359418877ce22baf14ca0210b2d8daa5f8920940ae6f9913c5076c74",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-10-19T17:56:43Z",
"title_canon_sha256": "c04f7cd215378f73375a0ff1b819cc10ae624cf7aee50108e18f6dc78ec7f8c1"
},
"schema_version": "1.0",
"source": {
"id": "1910.08811",
"kind": "arxiv",
"version": 1
}
}