Pith Number
pith:C7ZW6OBB
pith:2025:C7ZW6OBB6G3P5QHUB5OPKCT6UP
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not anchored
not stored
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When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference
arxiv:2509.01822 v1 · 2025-09-01 · cs.LG · cs.AI
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\usepackage{pith}
\pithnumber{C7ZW6OBB6G3P5QHUB5OPKCT6UP}
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Record completeness
1
Bitcoin timestamp
2
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3
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4
Citations
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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 | 2026-07-05T12:03:09.490661Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
17f36f3821f1b6fec0f40f5cf50a7ea3f2aa39620ac10b02a8f900ac399e5f30
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/C7ZW6OBB6G3P5QHUB5OPKCT6UP \
| 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: 17f36f3821f1b6fec0f40f5cf50a7ea3f2aa39620ac10b02a8f900ac399e5f30
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9d63e714d4bbc50301f4434c2e4926fa9612955d7e62906457f70220c3ea8f03",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-09-01T22:58:57Z",
"title_canon_sha256": "87811e7c4568f60da3bb33900167e4f1c0e8e400cfd5ade6e47b9f454f80bcf8"
},
"schema_version": "1.0",
"source": {
"id": "2509.01822",
"kind": "arxiv",
"version": 1
}
}