Pith Number
pith:3IGNATPF
pith:2024:3IGNATPFQDKVEUWJ4N7G5QPDBI
not attested
not anchored
not stored
refs pending
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure
arxiv:2401.01772 v2 · 2024-01-03 · cs.AI · cs.NI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3IGNATPFQDKVEUWJ4N7G5QPDBI}
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
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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 | 2026-07-05T08:43:08.022389Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da0cd04de580d55252c9e37e6ec1e30a0166b31ea0dc4c1be691547af810dd4a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3IGNATPFQDKVEUWJ4N7G5QPDBI \
| 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: da0cd04de580d55252c9e37e6ec1e30a0166b31ea0dc4c1be691547af810dd4a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "72431c7d18474760569a2c3c5524e37b673af7d9813816757b0fb96595eca8e7",
"cross_cats_sorted": [
"cs.NI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-01-03T14:52:18Z",
"title_canon_sha256": "9e6920aecf38eefa5f456f8b020e5f14e2db4076c0bb51e8f422996b6f02d7ca"
},
"schema_version": "1.0",
"source": {
"id": "2401.01772",
"kind": "arxiv",
"version": 2
}
}