Pith Number
pith:ZNQCNQOY
pith:2024:ZNQCNQOYTXRTU4N47MN5J5IIPM
not attested
not anchored
not stored
refs pending
A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation
arxiv:2411.15616 v1 · 2024-11-23 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZNQCNQOYTXRTU4N47MN5J5IIPM}
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 | 2026-07-05T09:39:38.106794Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cb6026c1d89de33a71bcfb1bd4f5087b3a64011ed208948a4652e89ac1f930cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZNQCNQOYTXRTU4N47MN5J5IIPM \
| 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: cb6026c1d89de33a71bcfb1bd4f5087b3a64011ed208948a4652e89ac1f930cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e1f1195b91c624903b15f058b601eee445959fcbb502dafffb2a898b48783237",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-23T17:35:23Z",
"title_canon_sha256": "aa5a5e860de4d3f2cedcd43fdfdf79a2d0cbcd24e5c58ece88954e41de0e6b35"
},
"schema_version": "1.0",
"source": {
"id": "2411.15616",
"kind": "arxiv",
"version": 1
}
}