Pith Number
pith:LLBPLQXD
pith:2015:LLBPLQXDA6LM2ZOQ3MVZHVQWJJ
not attested
not anchored
not stored
refs pending
Object-Scene Convolutional Neural Networks for Event Recognition in Images
arxiv:1505.00296 v1 · 2015-05-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LLBPLQXDA6LM2ZOQ3MVZHVQWJJ}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-05-18T02:17:10.540363Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ac2f5c2e30796cd65d0db2b93d6164a6cf5a18b709b50ba009dc06e11729a56
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LLBPLQXDA6LM2ZOQ3MVZHVQWJJ \
| 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: 5ac2f5c2e30796cd65d0db2b93d6164a6cf5a18b709b50ba009dc06e11729a56
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d56f006653d14a6af95c7e195595368af1a4b9c101cfe42f89ea5cfb98b75835",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-05-02T01:26:42Z",
"title_canon_sha256": "4d3a161c054bc008ab62851800346818b8bd6be1a9c1e02720cd49472b0600a4"
},
"schema_version": "1.0",
"source": {
"id": "1505.00296",
"kind": "arxiv",
"version": 1
}
}