Pith Number
pith:YGZ7LHQJ
pith:2022:YGZ7LHQJISHJBC2TGRQ4UVTSDH
not attested
not anchored
not stored
refs pending
Sources of Irreproducibility in Machine Learning: A Review
arxiv:2204.07610 v2 · 2022-04-15 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YGZ7LHQJISHJBC2TGRQ4UVTSDH}
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 | 2026-07-05T06:00:55.562112Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c1b3f59e09448e908b533461ca567219f057273f269b6019bf37cdc8ad08c758
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YGZ7LHQJISHJBC2TGRQ4UVTSDH \
| 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: c1b3f59e09448e908b533461ca567219f057273f269b6019bf37cdc8ad08c758
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "29657c12692f1424d14c40b2866617d6613b6a4518a4a67c8ab74b0b6cbe9adb",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-04-15T18:26:03Z",
"title_canon_sha256": "04fa14be1184539a150d5c2ec8e2ba2e4b01f69a01436e8e8d4d76e7174d2f3a"
},
"schema_version": "1.0",
"source": {
"id": "2204.07610",
"kind": "arxiv",
"version": 2
}
}