Pith Number
pith:BGZ4QEX2
pith:2023:BGZ4QEX2FCK2PNZMFXQ25O3UMZ
not attested
not anchored
not stored
refs pending
Is Channel Independent strategy optimal for Time Series Forecasting?
arxiv:2310.17658 v4 · 2023-10-18 · cs.LG · cs.AI · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BGZ4QEX2FCK2PNZMFXQ25O3UMZ}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:25:47.317905Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09b3c812fa2895a7b72c2de1aebb7466638b205eabc5b1fe94d38c694f6a0c20
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BGZ4QEX2FCK2PNZMFXQ25O3UMZ \
| 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: 09b3c812fa2895a7b72c2de1aebb7466638b205eabc5b1fe94d38c694f6a0c20
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4f2c2aa5ac0b3089fa215b564214ca6e8fc5769f22e0579e517402f10f78374c",
"cross_cats_sorted": [
"cs.AI",
"eess.SP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-18T15:24:34Z",
"title_canon_sha256": "00ed02696bff95479d85b53fd23be4db0e789f7b7914836123700e96bd3b5709"
},
"schema_version": "1.0",
"source": {
"id": "2310.17658",
"kind": "arxiv",
"version": 4
}
}