Pith Number
pith:PMFOP6XH
pith:2023:PMFOP6XH6GYGJNX5EUDPSO4EP5
not attested
not anchored
not stored
refs pending
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms
arxiv:2302.06960 v3 · 2023-02-14 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PMFOP6XH6GYGJNX5EUDPSO4EP5}
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 | 2026-07-05T07:08:54.908077Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7b0ae7fae7f1b064b6fd2506f93b847f4e1113680fcdce9a4c1162144e74912b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PMFOP6XH6GYGJNX5EUDPSO4EP5 \
| 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: 7b0ae7fae7f1b064b6fd2506f93b847f4e1113680fcdce9a4c1162144e74912b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3d50de7852d7610fb7cd457273a17203ae1c294e57196d8cf9612781ba28a915",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2023-02-14T10:38:40Z",
"title_canon_sha256": "0e35c71e130edb5a1cb242764c04fd353d470257430a2ffeb68699b327acbbbe"
},
"schema_version": "1.0",
"source": {
"id": "2302.06960",
"kind": "arxiv",
"version": 3
}
}