Pith Number
pith:3RJNFW3L
pith:2026:3RJNFW3LPUADTQZCTGKS24J3XJ
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Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors
arxiv:2608.06723 v1 · 2026-08-07 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3RJNFW3LPUADTQZCTGKS24J3XJ}
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Record completeness
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Bitcoin timestamp
2
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4
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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 | 2026-08-10T01:11:49.519156Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dc52d2db6b7d0039c32299952d713bba7a927c84fa9675fb954474a0b476f57f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3RJNFW3LPUADTQZCTGKS24J3XJ \
| 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: dc52d2db6b7d0039c32299952d713bba7a927c84fa9675fb954474a0b476f57f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "98abd61cc3b772c06d06bcb8f826aafaa1ac3ff895d7a5cf983291459eb2299c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-08-07T02:37:02Z",
"title_canon_sha256": "f0bf60632fcdccc44ca5ec4bbef9eaeb59f20f8334c909dee911a005564124bb"
},
"schema_version": "1.0",
"source": {
"id": "2608.06723",
"kind": "arxiv",
"version": 1
}
}