Pith Number
pith:WGC4PSLN
pith:2025:WGC4PSLN6MNP6U42FVMSW3M7EX
not attested
not anchored
not stored
refs pending
Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?
arxiv:2502.08050 v1 · 2025-02-12 · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WGC4PSLN6MNP6U42FVMSW3M7EX}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
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3
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4
Citations
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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 | 2026-07-05T10:13:14.307494Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b185c7c96df31aff539a2d592b6d9f25f0b87d24f0ecd60cf40765a1996dd1a4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WGC4PSLN6MNP6U42FVMSW3M7EX \
| 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: b185c7c96df31aff539a2d592b6d9f25f0b87d24f0ecd60cf40765a1996dd1a4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "19a0bdd9d9a161c63010c1ac10382aa55368e75125a65971f5c222f42ac03580",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SE",
"submitted_at": "2025-02-12T01:13:52Z",
"title_canon_sha256": "1753265f55333e600c7a381847d3a479365f7734632e3123ab7a5c8f8e78a0a2"
},
"schema_version": "1.0",
"source": {
"id": "2502.08050",
"kind": "arxiv",
"version": 1
}
}