Pith Number
pith:V6HM3WDG
pith:2025:V6HM3WDGCI2AHQKXTJVRX75HCC
not attested
not anchored
not stored
refs pending
How far away are truly hyperparameter-free learning algorithms?
arxiv:2505.24005 v1 · 2025-05-29 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V6HM3WDGCI2AHQKXTJVRX75HCC}
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 | 2026-07-05T11:12:40.026710Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
af8ecdd866123403c1579a6b1bffa7109e268e35438f27a11ed1fa2e22e339ab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V6HM3WDGCI2AHQKXTJVRX75HCC \
| 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: af8ecdd866123403c1579a6b1bffa7109e268e35438f27a11ed1fa2e22e339ab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2ab6ee9d0f32e51943ddbe7efbf92d0ee5cef0b54d629e20dbd0ac2972d139a0",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-29T20:57:31Z",
"title_canon_sha256": "f5c8a5c46188a2e72cc24b219917d5aeb5284f56ad547314d172c0db5a00cf64"
},
"schema_version": "1.0",
"source": {
"id": "2505.24005",
"kind": "arxiv",
"version": 1
}
}