Pith Number
pith:L2LEVG7M
pith:2025:L2LEVG7MRW3E35TYML37DQJGW5
not attested
not anchored
not stored
refs pending
A Unified Hyperparameter Optimization Pipeline for Transformer-Based Time Series Forecasting Models
arxiv:2501.01394 v1 · 2025-01-02 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L2LEVG7MRW3E35TYML37DQJGW5}
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.
Receipt and verification
| First computed | 2026-07-05T09:56:19.303145Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e964a9bec8db64df67862f7f1c126b750b1b9a307e211081dae5081533fa0ac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L2LEVG7MRW3E35TYML37DQJGW5 \
| 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: 5e964a9bec8db64df67862f7f1c126b750b1b9a307e211081dae5081533fa0ac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b08ebfbf6b6adb76ccec4afbb0685d81f6ac7cc5e09df4b8f72be5666b475c6f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-02T18:12:42Z",
"title_canon_sha256": "67325e35c86e75dd2860a9fe836dace1036247eeb1782d4ec93bac73879a84de"
},
"schema_version": "1.0",
"source": {
"id": "2501.01394",
"kind": "arxiv",
"version": 1
}
}