Pith Number
pith:S5I7EQB2
pith:2019:S5I7EQB2B4WMZ2JIESZW2O7KCC
not attested
not anchored
not stored
refs pending
Understanding Neural Networks via Feature Visualization: A survey
arxiv:1904.08939 v1 · 2019-04-18 · cs.LG · cs.AI · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S5I7EQB2B4WMZ2JIESZW2O7KCC}
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 | 2026-05-17T23:48:08.848637Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9751f2403a0f2ccce92824b36d3bea10b96fefb22bb48c41587f54a15e12aa9f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S5I7EQB2B4WMZ2JIESZW2O7KCC \
| 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: 9751f2403a0f2ccce92824b36d3bea10b96fefb22bb48c41587f54a15e12aa9f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7ca70473204cc8ed5cc0254195cada41bbb11a1fe668a8e47dd62aefb91db969",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-04-18T15:46:26Z",
"title_canon_sha256": "7c252e975a339f696c805cc446ea42bb1f92677793336e99f60704064017c420"
},
"schema_version": "1.0",
"source": {
"id": "1904.08939",
"kind": "arxiv",
"version": 1
}
}