Pith Number
pith:LPXO342T
pith:2017:LPXO342TWBXWVYGGN27CL4RHCB
not attested
not anchored
not stored
refs pending
Improving Accuracy of Nonparametric Transfer Learning via Vector Segmentation
arxiv:1710.08637 v1 · 2017-10-24 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LPXO342TWBXWVYGGN27CL4RHCB}
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 | 2026-05-18T00:32:04.273325Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5beeedf353b06f6ae0c66ebe25f2271070e50f40a34c7b4071e6c6391c677a0b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LPXO342TWBXWVYGGN27CL4RHCB \
| 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: 5beeedf353b06f6ae0c66ebe25f2271070e50f40a34c7b4071e6c6391c677a0b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "043af6181e18a521023aaa9af1c5baefc1473597c4d4902188ca84435e117661",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-10-24T07:46:57Z",
"title_canon_sha256": "860555463cdcc94a4074b7b7f98488f2655c41204179fc399f1f7ec7f7ae1bef"
},
"schema_version": "1.0",
"source": {
"id": "1710.08637",
"kind": "arxiv",
"version": 1
}
}