Paper Citation Record · LEDGER

Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2109.11067.

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

pith.paper-citation-record.v1
2109.11067 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:44.904432Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:03.586792Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 26aff3b3-5125-428b-907a-677809853bb3 · inbound

A Multi-Objective Framework for Optimizing GPU-Enabled VM Placement in Cloud Data Centers with Multi-Instance GPU Technology cites this paper.

A Multi-Objective Framework for Optimizing GPU-Enabled VM Placement in Cloud Data Centers with Multi-Instance GPU Technology Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T14:07:23.231976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01005658-83cf-4849-b28a-df9da56b85c2 · inbound

LithOS: An Operating System for Efficient Machine Learning on GPUs cites this paper.

LithOS: An Operating System for Efficient Machine Learning on GPUs Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T11:33:44.904432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 988b1264-4700-4582-a371-e6fdcb4a0a28 · inbound

Managing Multi Instance GPUs for High Throughput and Energy Savings cites this paper.

Managing Multi Instance GPUs for High Throughput and Energy Savings Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T17:01:11.442960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa5332c-f1ed-42d9-9fe6-c8b9a1aa4ff5 · inbound

Taming GPU Underutilization via Static Partitioning and Fine-grained CPU Offloading cites this paper.

Taming GPU Underutilization via Static Partitioning and Fine-grained CPU Offloading Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:11:02.927786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72dfad48-0103-423a-9e58-0e36644ea527 · inbound

VUDA: Breaking CUDA-Vulkan Isolation for Spatial Sharing of Compute and Graphics on the Same GPU cites this paper.

VUDA: Breaking CUDA-Vulkan Isolation for Spatial Sharing of Compute and Graphics on the Same GPU Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:26:01.106266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cae2280d-cf63-4988-8bf9-d787993ac4a3 · inbound

Energy Efficient Scheduling of AI/ML Workloads on Multi Instance GPUs with Dynamic Repartitioning cites this paper.

Energy Efficient Scheduling of AI/ML Workloads on Multi Instance GPUs with Dynamic Repartitioning Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:40:03.588241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7aa7a2f2-7614-4d97-883e-f00381ed38ec · inbound

SMART-MIG: A Learning Framework for Scalable and Energy-Efficient GPU Scheduling cites this paper.

SMART-MIG: A Learning Framework for Scalable and Energy-Efficient GPU Scheduling Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:14:54.091294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1722af82-9967-481f-952e-29062533e439 · inbound

Energy-Aware Scheduling for Serverless LLM Serving on Shared GPUs cites this paper.

Energy-Aware Scheduling for Serverless LLM Serving on Shared GPUs Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:15:48.681322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.