Pith Number
pith:6Z6ZTGV3
pith:2019:6Z6ZTGV3CKNMUD4APNBGFXJCHQ
not attested
not anchored
not stored
refs pending
Homogeneous Linear Inequality Constraints for Neural Network Activations
arxiv:1902.01785 v4 · 2019-02-05 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6Z6ZTGV3CKNMUD4APNBGFXJCHQ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T01:06:17.514029Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f67d999abb129aca0f807b4262dd223c3dcfb1ad0ee33aae5e103f2bf85bc7a6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6Z6ZTGV3CKNMUD4APNBGFXJCHQ \
| 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: f67d999abb129aca0f807b4262dd223c3dcfb1ad0ee33aae5e103f2bf85bc7a6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "35f6d1192367251719c4539d1f0c802ecdb62ff7eabe6777065d79ada8733390",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-02-05T16:44:55Z",
"title_canon_sha256": "55fb670f5c825021a956efe97df1fdc963f9797b050a48ef75ee16b234d2aae9"
},
"schema_version": "1.0",
"source": {
"id": "1902.01785",
"kind": "arxiv",
"version": 4
}
}