Pith Number
pith:2H7LZFP5
pith:2017:2H7LZFP5MBFDKVL4LMAPACKQH4
not attested
not anchored
not stored
refs pending
Identifying Spatial Relations in Images using Convolutional Neural Networks
arxiv:1706.04215 v1 · 2017-06-13 · cs.AI · cs.CV · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2H7LZFP5MBFDKVL4LMAPACKQH4}
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 | 2026-05-18T00:42:23.209240Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d1febc95fd604a35557c5b00f009503f2ce39a1810c5cd5ed672382108637d06
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2H7LZFP5MBFDKVL4LMAPACKQH4 \
| 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: d1febc95fd604a35557c5b00f009503f2ce39a1810c5cd5ed672382108637d06
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "054ff9044b44ff6a32a8987811c6598c8ca6e6e434623683eb1c48e621f589b0",
"cross_cats_sorted": [
"cs.CV",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2017-06-13T18:24:11Z",
"title_canon_sha256": "9fd7bb74837fcf7adfb955f0a4cef5aa7d9df224beb334266d1a5333026381d8"
},
"schema_version": "1.0",
"source": {
"id": "1706.04215",
"kind": "arxiv",
"version": 1
}
}