Pith Number
pith:P4SA3GHP
pith:2016:P4SA3GHPXU3ZRBUYV7FJPGQR2H
not attested
not anchored
not stored
refs pending
Towards the effectiveness of Deep Convolutional Neural Network based Fast Random Forest Classifier
arxiv:1609.08864 v1 · 2016-09-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P4SA3GHPXU3ZRBUYV7FJPGQR2H}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T01:01:52.804589Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f240d98efbd37988698afca979a11d1cc6d31314115589cf80ffbc5de362c64
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P4SA3GHPXU3ZRBUYV7FJPGQR2H \
| 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: 7f240d98efbd37988698afca979a11d1cc6d31314115589cf80ffbc5de362c64
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "65a70af62ef0f654b2e3ea3241057dd396af91ea4f1f5b1c15911431ced195c6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-09-28T11:35:17Z",
"title_canon_sha256": "c379021da5d04c4453204b8e4cb235f369a85dc850219fb70ae3f06f997f1059"
},
"schema_version": "1.0",
"source": {
"id": "1609.08864",
"kind": "arxiv",
"version": 1
}
}