Paper Citation Record · LEDGER

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT

As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2601.20408.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2601.20408 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:43:40.034740Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy3
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db620c7d-7f74-4040-b393-cbad5dc1bbbe · outbound

This paper cites SCOOT: SLO-Oriented Performance Tuning for LLM Inference Engines.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT SCOOT: SLO-Oriented Performance Tuning for LLM Inference Engines

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.740486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc86fafa-233b-47d3-a33b-b420c91fcf27 · outbound

This paper cites Values are normalized per-GPU RPS (SLO- compliant).

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Values are normalized per-GPU RPS (SLO- compliant)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:43:40.410662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5fa9a87e-09d6-4ab2-8248-764f735a30d1 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.752107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a58d578-000b-4b15-8ac0-ead3955c3490 · outbound

This paper cites FP8 Formats for Deep Learning.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT FP8 Formats for Deep Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.774740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aca0f86-6382-4244-b211-bb5a32d3cdec · outbound

This paper cites Accelerating Sparse Deep Neural Networks.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Accelerating Sparse Deep Neural Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.831138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a53b15aa-46dc-4f40-8945-683477a383ed · outbound

This paper cites Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT NVIDIA Corporation.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT NVIDIA Corporation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:43:40.422056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b168973b-90f7-4e24-8165-29ba09525c8c · outbound

This paper cites Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.999023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e6031f-1b1c-4d64-8de8-6c1363ddbe83 · outbound

This paper cites A survey on inference engines for large language mod- els: Perspectives on optimization and efficiency.arXiv preprint arXiv:2505.01658,.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT A survey on inference engines for large language mod- els: Perspectives on optimization and efficiency.arXiv preprint arXiv:2505.01658,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:40.003167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 183ffb50-63f3-45e4-a35c-21993c227f22 · outbound

This paper cites Qwen2.5 Technical Report.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Qwen2.5 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:40.006956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2306c056-9a67-424b-802e-e303b40a6da9 · outbound

This paper cites Model Compression and Efficient Inference for Large Language Models: A Survey.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Model Compression and Efficient Inference for Large Language Models: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:40.010677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41730741-cd6e-472f-a00c-7fdfbb9490b4 · outbound

This paper cites On the Impact of Calibration Data in Post-training Quantization and Pruning.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT On the Impact of Calibration Data in Post-training Quantization and Pruning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:40.014564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c01b4e-163c-4b5e-adf0-7200a49278c6 · outbound

This paper cites High-Throughput LLM inference on Heterogeneous Clusters.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT High-Throughput LLM inference on Heterogeneous Clusters

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T15:43:40.100630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b8329d69-3ab0-4e7d-9cc0-4ba684ce9bfc · outbound

This paper cites Taming the Titans: A Survey of Efficient LLM Inference Serving.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Taming the Titans: A Survey of Efficient LLM Inference Serving

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:40.020798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6e18d0b-5288-4ca0-9daf-fc96008c04ef · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT SGLang: Efficient Execution of Structured Language Model Programs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:40.024288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 576d568f-9d7f-4671-b22f-9c26a43edb38 · outbound

This paper cites A Survey on Efficient Inference for Large Language Models.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT A Survey on Efficient Inference for Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:40.027135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e838d80-e8f9-4693-87c2-6e7ad83e05dc · outbound

This paper cites FP16 baseline across models, tensor parallelism, and bitwidths.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT FP16 baseline across models, tensor parallelism, and bitwidths

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:43:40.399156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 271f6761-79f9-4155-99ad-c7bd0d925bb8 · outbound

This paper cites Language Models are Few-Shot Learners.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.735588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b24b7d7e-40e5-464e-88b1-ac0fa8935649 · outbound

This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.744744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de2024b6-7be4-4441-b023-1ac803709582 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.748630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e892688b-f940-409e-8afb-5464599442eb · outbound

This paper cites The Llama 3 Herd of Models.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT The Llama 3 Herd of Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.589707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55f68562-cf37-47ed-a205-760a352ca389 · outbound

This paper cites Qwen3 Technical Report.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Qwen3 Technical Report

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:39.686068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.