Pith Number
pith:JL4BKFQH
pith:2018:JL4BKFQHINGES5ZHVNLYLVY27H
not attested
not anchored
not stored
refs pending
Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images
arxiv:1801.06302 v3 · 2018-01-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JL4BKFQHINGES5ZHVNLYLVY27H}
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 | 2026-05-18T00:07:40.929972Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4af8151607434c497727ab5785d71af9e4b560b04919e72c6a7ed103c31eb866
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JL4BKFQHINGES5ZHVNLYLVY27H \
| 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: 4af8151607434c497727ab5785d71af9e4b560b04919e72c6a7ed103c31eb866
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1df4a8489061051bb1396127e9122fca4574ef9d9e4cc921bbdabaeef2503dbf",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-01-19T05:32:33Z",
"title_canon_sha256": "f821a5f3c72991126020e7814e79ac380f2c135067f797b0e299b77e71750028"
},
"schema_version": "1.0",
"source": {
"id": "1801.06302",
"kind": "arxiv",
"version": 3
}
}