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Paper Citation Record · LEDGER

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.13126.

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

pith.paper-citation-record.v1
2407.13126 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:33:44.914535Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:25:47.294158Z

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 4d7d9d46-bdf2-45f9-844d-9d42f8b5c69c · inbound

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

LithOS: An Operating System for Efficient Machine Learning on GPUs Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T11:33:44.914535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:33:44.914535Z digest=sha256:87157f24d96499c72dcd9a6de0d31caa7f62142257710658aa0fb7ea80015740

Observation 6a933c57-1ad9-486b-8ba4-9d3a08725033 · inbound

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

Managing Multi Instance GPUs for High Throughput and Energy Savings Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:11.452853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:11.452853Z digest=sha256:bb840fe88aea46ec803d91483a0c684b3b31863ac667fd00350ba0f9f4499719

Observation caf11eec-2ae6-47d3-a04b-dbdb03b078ab · inbound

Predictable LLM Serving on GPU Clusters cites this paper.

Predictable LLM Serving on GPU Clusters Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T16:51:19.478921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:51:19.478921Z digest=sha256:66588dfba9100a1aa762d0f194fd9645efe421ede9cf4cf6f3c1df8265a7c24b

Observation fe9eac6e-5626-41f1-95b0-115f8c5b2e68 · inbound

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

Energy-Aware Scheduling for Serverless LLM Serving on Shared GPUs Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:25:47.296236Z

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.

source=pdf_text observed=2026-06-30T03:41:51.034169Z digest=sha256:d3432e659e7448883c3b219f28073f5c632f4054216081cbbb7ae1c2edee6f19