Pith Number
pith:NQTYTVFU
pith:2025:NQTYTVFUTJYMI57GZCGXKQ6HQZ
not attested
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not stored
refs pending
Frequency-adaptive tensor neural networks for high-dimensional multi-scale problems
arxiv:2508.15198 v2 · 2025-08-21 · cs.LG · math-ph · math.MP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NQTYTVFUTJYMI57GZCGXKQ6HQZ}
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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.
Receipt and verification
| First computed | 2026-05-17T23:39:04.808773Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c2789d4b49a70c477e6c88d7543c7865535d8d820d97bd09ad02f7b04984faa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NQTYTVFUTJYMI57GZCGXKQ6HQZ \
| 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: 6c2789d4b49a70c477e6c88d7543c7865535d8d820d97bd09ad02f7b04984faa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "19b899b989c7ba5e92081e6a46b553ae6e7e588aeb78e62b9960e4acf0574bc5",
"cross_cats_sorted": [
"math-ph",
"math.MP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-21T03:16:52Z",
"title_canon_sha256": "6e7af92611fd7c6c3fe6badd7bf45d304681c3de7e6c9852ea2b793c5e553cfa"
},
"schema_version": "1.0",
"source": {
"id": "2508.15198",
"kind": "arxiv",
"version": 2
}
}