Pith Number
pith:G5ZNN4S7
pith:2016:G5ZNN4S7VXBVDIVVFP6MI3QRHO
not attested
not anchored
not stored
refs pending
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network
arxiv:1609.00361 v2 · 2016-09-01 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G5ZNN4S7VXBVDIVVFP6MI3QRHO}
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 | 2026-05-18T01:04:49.412902Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3772d6f25fadc351a2b52bfcc46e113ba4bcc75adc8402a3c02667d23970e15e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G5ZNN4S7VXBVDIVVFP6MI3QRHO \
| 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: 3772d6f25fadc351a2b52bfcc46e113ba4bcc75adc8402a3c02667d23970e15e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a05b2b6f360ac283c7152e319030f994414133e6d9d81fa7818d76c9d4b3af5a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-09-01T19:39:08Z",
"title_canon_sha256": "c47e941c43bc0602c0489c1cb3b3dabcf866e6919b48f036be84a923e18a81f5"
},
"schema_version": "1.0",
"source": {
"id": "1609.00361",
"kind": "arxiv",
"version": 2
}
}