Pith Number
pith:52KSC66V
pith:2023:52KSC66VYBX4WQVZSQOCBA54KZ
not attested
not anchored
not stored
refs pending
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review
arxiv:2311.00284 v1 · 2023-11-01 · cs.SE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{52KSC66VYBX4WQVZSQOCBA54KZ}
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.
Receipt and verification
| First computed | 2026-07-05T07:07:45.029285Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ee95217bd5c06fcb42b9941c2083bc56609f063dc4a7197dcf1d1ed949d942d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/52KSC66VYBX4WQVZSQOCBA54KZ \
| 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: ee95217bd5c06fcb42b9941c2083bc56609f063dc4a7197dcf1d1ed949d942d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0e003a2834caa918c67c83170c0f37a8db3fc2d905f957d79597a35dc2e72aae",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2023-11-01T04:29:47Z",
"title_canon_sha256": "d495089c9ccae8a7c9a76f13026fe16a74da6afb25521661f080f76a894c7313"
},
"schema_version": "1.0",
"source": {
"id": "2311.00284",
"kind": "arxiv",
"version": 1
}
}