Pith Number
pith:UMGYXDTQ
pith:2024:UMGYXDTQXM6Z7EH5WCBSHBAX4V
not attested
not anchored
not stored
refs pending
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
arxiv:2409.12255 v1 · 2024-09-18 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UMGYXDTQXM6Z7EH5WCBSHBAX4V}
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Record completeness
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Bitcoin timestamp
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Internet Archive
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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 | 2026-07-05T09:08:50.773546Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a30d8b8e70bb3d9f90fdb083238417e57072a4de6b4bac0de1f682d3ea936234
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UMGYXDTQXM6Z7EH5WCBSHBAX4V \
| 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: a30d8b8e70bb3d9f90fdb083238417e57072a4de6b4bac0de1f682d3ea936234
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9976abeb3af359f1c7226374b1cdf8c1bb59be2e81f72779eb3aa99a6ab03b20",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-09-18T18:32:12Z",
"title_canon_sha256": "2cd66bb0f973124806938e6c3e2cac867650c70b5f5969c5a2231d85b2d6dfa4"
},
"schema_version": "1.0",
"source": {
"id": "2409.12255",
"kind": "arxiv",
"version": 1
}
}