Pith Number

pith:ELK7H5TA

pith:2025:ELK7H5TAMOMU6CSOH23533F233

not attested not anchored not stored refs pending

Forecasting LLM Inference Performance via Hardware-Agnostic Analytical Modeling

Ashish Sirasao, Devleena Das, Rajeev Patwari

arxiv:2508.00904 v1 · 2025-07-29 · cs.PF · cs.AI · cs.AR · cs.LG

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{ELK7H5TAMOMU6CSOH23533F233}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ 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

3 papers in Pith

Latency Prediction for LLM Inference on NPU Systems

WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs

Recover-LoRA for Aggressive Quantization: Reclaiming Accuracy in 2-Bit Language Models via Low-Rank Adaptation with Knowledge Distillation on Synthetic Data

Receipt and verification

First computed	2026-07-05T11:47:29.532216Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

22d5f3f66063994f0a4e3eb7ddecbadefb7eb86cdcbe58b4eabe2ab7d703b2b3

Aliases

arxiv: 2508.00904 · arxiv_version: 2508.00904v1 · doi: 10.48550/arxiv.2508.00904 · pith_short_12: ELK7H5TAMOMU · pith_short_16: ELK7H5TAMOMU6CSO · pith_short_8: ELK7H5TA

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ELK7H5TAMOMU6CSOH23533F233 \
  | 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: 22d5f3f66063994f0a4e3eb7ddecbadefb7eb86cdcbe58b4eabe2ab7d703b2b3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "30891391db8348515457656ac93b2fc0906812bee2c15f1564693284681d7064",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.AR",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.PF",
    "submitted_at": "2025-07-29T03:08:31Z",
    "title_canon_sha256": "2b3fe2844a80be6b179ccfd88e51dd8a65fb0eb571012ce3b62f48278b49be53"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2508.00904",
    "kind": "arxiv",
    "version": 1
  }
}