Pith Number
pith:QNCNEZH2
pith:2017:QNCNEZH2M7YLBYVQJXULQ2SKD3
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not stored
refs pending
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds
arxiv:1707.06783 v1 · 2017-07-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QNCNEZH2M7YLBYVQJXULQ2SKD3}
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
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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 | 2026-05-18T00:39:51.650643Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8344d264fa67f0b0e2b04de8b86a4a1efe8cd222148328140e3bb044d4fb22e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QNCNEZH2M7YLBYVQJXULQ2SKD3 \
| 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: 8344d264fa67f0b0e2b04de8b86a4a1efe8cd222148328140e3bb044d4fb22e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7d9a28ef15332872c8188e89294dbefaef3b79ea903048970a32e247cca70362",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-07-21T07:28:14Z",
"title_canon_sha256": "ce6e02ffa8a473dff1d1b063acff69bb10ed65c332765a893e3eea0115093d3f"
},
"schema_version": "1.0",
"source": {
"id": "1707.06783",
"kind": "arxiv",
"version": 1
}
}