Pith Number
pith:BM5PX5WK
pith:2024:BM5PX5WKE4DSFAB5U5DOKK7ZE5
not attested
not anchored
not stored
refs pending
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
arxiv:2401.14469 v1 · 2024-01-25 · cs.LG · cs.AI · cs.CV · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BM5PX5WKE4DSFAB5U5DOKK7ZE5}
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 | 2026-07-05T07:37:56.906478Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b3afbf6ca270722803da746e52bf92767b729e678ba0292f428d5bdd8678f5d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BM5PX5WKE4DSFAB5U5DOKK7ZE5 \
| 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: 0b3afbf6ca270722803da746e52bf92767b729e678ba0292f428d5bdd8678f5d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "adfc38f55da087b076b95f248bdda5b1081d5ad25420a0e691039dfaf44c3468",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.NE"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-01-25T19:05:53Z",
"title_canon_sha256": "8790157414f07c88e81d57b571100f3e225367b31b4593cff4a36c0d5560cefb"
},
"schema_version": "1.0",
"source": {
"id": "2401.14469",
"kind": "arxiv",
"version": 1
}
}