Pith Number
pith:2AKXNHMW
pith:2025:2AKXNHMWXTIO4KWBZC5WFQV2J5
not attested
not anchored
not stored
refs pending
Training Deep Morphological Neural Networks as Universal Approximators
arxiv:2505.09710 v4 · 2025-05-14 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2AKXNHMWXTIO4KWBZC5WFQV2J5}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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
Lattice theory and algebraic models for deep convolutional learning based on mathematical morphology
Receipt and verification
| First computed | 2026-08-04T01:57:33.906248Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d015769d96bcd0ee2ac1c8bb62c2ba4f5f34550a3a5097614b9dd6ec4bdcb213
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2AKXNHMWXTIO4KWBZC5WFQV2J5 \
| 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: d015769d96bcd0ee2ac1c8bb62c2ba4f5f34550a3a5097614b9dd6ec4bdcb213
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aeea7d9e58f9361b1c2f54482cf2cf29c0eed967642b5c843d20be69bbf64f19",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-14T18:10:49Z",
"title_canon_sha256": "86ba88430f56369093790bd499560d7ed3262df001c7e703e3a1a2d33b44c507"
},
"schema_version": "1.0",
"source": {
"id": "2505.09710",
"kind": "arxiv",
"version": 4
}
}