Pith Number
pith:EPLXMGZD
pith:2026:EPLXMGZDFFRFJ4Q2LH775BSF2J
not attested
not anchored
not stored
refs pending
KLAS: Using Similarity to Stitch Neural Networks for Improved Accuracy-Efficiency Tradeoffs
arxiv:2605.29259 v1 · 2026-05-28 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EPLXMGZDFFRFJ4Q2LH775BSF2J}
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
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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 | 2026-05-29T01:05:27.746374Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23d7761b23296254f21a59fffe8645d273089410442be5c87af460a7676a7eda
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EPLXMGZDFFRFJ4Q2LH775BSF2J \
| 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: 23d7761b23296254f21a59fffe8645d273089410442be5c87af460a7676a7eda
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ea81c7c87f7fe44e33d9da880162c159db22171c4dc51acd1a7313bd4a3d720c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-28T02:23:08Z",
"title_canon_sha256": "090d4605f1994e5ad4109c53721a6185dd1eb3ef7e5c2d4a854454e6ebc819f4"
},
"schema_version": "1.0",
"source": {
"id": "2605.29259",
"kind": "arxiv",
"version": 1
}
}