Pith Number
pith:QADHKAWP
pith:2021:QADHKAWPBBQV3HYKXVA5P5CB7A
not attested
not anchored
not stored
refs pending
Frequency learning for structured CNN filters with Gaussian fractional derivatives
arxiv:2111.06660 v1 · 2021-11-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QADHKAWPBBQV3HYKXVA5P5CB7A}
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 | 2026-07-05T03:31:16.267663Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
80067502cf08615d9f0abd41d7f441f827063114abc9a13928f0efc6aff2373b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QADHKAWPBBQV3HYKXVA5P5CB7A \
| 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: 80067502cf08615d9f0abd41d7f441f827063114abc9a13928f0efc6aff2373b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b9a29d1a20b2e1181fd34dc3fb2bc694e8775adcfda1ea1f67765190506a4248",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-11-12T11:01:28Z",
"title_canon_sha256": "51b81b89bfe66d92fbd1f403da01c53fe083172d18e7923d36e22e475a0160fe"
},
"schema_version": "1.0",
"source": {
"id": "2111.06660",
"kind": "arxiv",
"version": 1
}
}