Pith Number
pith:GEBISPB5
pith:2024:GEBISPB5Z2UTVF62FFYT65WHC6
not attested
not anchored
not stored
refs pending
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
arxiv:2410.16105 v1 · 2024-10-21 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GEBISPB5Z2UTVF62FFYT65WHC6}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:23:29.390759Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3102893c3dcea93a97da29713f76c717bd648d65497fe4028c6852cf2c07f121
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GEBISPB5Z2UTVF62FFYT65WHC6 \
| 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: 3102893c3dcea93a97da29713f76c717bd648d65497fe4028c6852cf2c07f121
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "daac5a969144e4d05bc6160683a08510a036bf3040953407405da9b2a5785dab",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-21T15:34:33Z",
"title_canon_sha256": "78364b0932c8b6a73f9c4b284a54c9b8601e1f5f8523bb99add320ea4db713fc"
},
"schema_version": "1.0",
"source": {
"id": "2410.16105",
"kind": "arxiv",
"version": 1
}
}