Pith Number
pith:Q6DSLZUZ
pith:2024:Q6DSLZUZMSHWPUADGCYVLHIGWY
not attested
not anchored
not stored
refs pending
Understanding the Double Descent Phenomenon in Deep Learning
arxiv:2403.10459 v1 · 2024-03-15 · cs.LG · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q6DSLZUZMSHWPUADGCYVLHIGWY}
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
Author claim
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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 | 2026-07-05T07:56:41.754276Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
878725e699648f67d00330b1559d06b60bde97a75d092f12a6a633210abf339d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q6DSLZUZMSHWPUADGCYVLHIGWY \
| 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: 878725e699648f67d00330b1559d06b60bde97a75d092f12a6a633210abf339d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8d59fbe28b7b90965dcd0b8fd65fa4d6b59a5d613f2511651afb3bc97059de91",
"cross_cats_sorted": [
"cs.CV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-03-15T16:51:24Z",
"title_canon_sha256": "16f2a2ceec7e30327d68f414864c201df20fca8dd012d563c5a5959e54b2940d"
},
"schema_version": "1.0",
"source": {
"id": "2403.10459",
"kind": "arxiv",
"version": 1
}
}