Pith Number
pith:QLKQSZYI
pith:2025:QLKQSZYI5IV2FL6QP4YE4PZXDH
not attested
not anchored
not stored
refs pending
Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting
arxiv:2509.15105 v3 · 2025-09-18 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QLKQSZYI5IV2FL6QP4YE4PZXDH}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-25T02:01:07.220033Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
82d5096708ea2ba2afd07f304e3f3719cb808e79abc9ebcd66c628ca48cec0e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QLKQSZYI5IV2FL6QP4YE4PZXDH \
| 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: 82d5096708ea2ba2afd07f304e3f3719cb808e79abc9ebcd66c628ca48cec0e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4c9e54a7a5dfe7d82ae163ca946bc1e057e36b5d816ddb003d88d667f1802415",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-09-18T16:11:31Z",
"title_canon_sha256": "2dae0e41fd2ad0fa9542953b6994a6edfc504683d845111f8267f7e19d89b4c5"
},
"schema_version": "1.0",
"source": {
"id": "2509.15105",
"kind": "arxiv",
"version": 3
}
}