Pith Number
pith:7DZGFJ2K
pith:2026:7DZGFJ2KGQZSYONUMKMBG6AL4O
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A Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental Datasets
arxiv:2606.27304 v1 · 2026-06-25 · cs.LG
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\usepackage{pith}
\pithnumber{7DZGFJ2KGQZSYONUMKMBG6AL4O}
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Record completeness
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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 | 2026-06-26T01:16:18.230563Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f8f262a74a34332c39b4629813780be3b49632cee1039fa92da90a293b1466cb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7DZGFJ2KGQZSYONUMKMBG6AL4O \
| 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: f8f262a74a34332c39b4629813780be3b49632cee1039fa92da90a293b1466cb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1eedd0530ca10a740cca6d1c1a7844e8fd336e1438043690fbac3be80cf7e974",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-25T17:25:13Z",
"title_canon_sha256": "e5b037bc4bc86d1473e6dab8e5f07370208a6bfe9892773aef2269debae4124b"
},
"schema_version": "1.0",
"source": {
"id": "2606.27304",
"kind": "arxiv",
"version": 1
}
}