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Paper Citation Record · LEDGER

Optimal Workload Placement on Multi-Instance GPUs

As of 27 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.06646.

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

pith.paper-citation-record.v1
2409.06646 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-26T06:30:07.085553+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T04:46:46.384753Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:14:54.095776Z

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 fb642beb-6fec-46c1-bc92-a0f7b8e449db · 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 Optimal Workload Placement on Multi-Instance GPUs

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:11:02.897672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.

source=pdf_text observed=2026-05-10T16:47:49.174774Z digest=sha256:bc1ebb332f215d2d10dd88673fecf47b2a01762751bab2f5b90da47d4cf879b4

Observation 6861f6b4-5862-4cc6-910a-a66cf341d777 · 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 Optimal Workload Placement on Multi-Instance GPUs

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:54.097234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-26T06:30:07.085553+00:00.

source=pdf_text observed=2026-06-30T04:46:46.384753Z digest=sha256:536306074c8db4f450292e5024e0422c0450c6ff844ed730dbf49fdbf8cea3a4