Paper Citation Record · LEDGER

SpotServe: Serving Generative Large Language Models on Preemptible Instances

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.15566.

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

pith.paper-citation-record.v1
2311.15566 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:19:03.179831Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:49:24.717603Z

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 19681dcc-1543-439d-befc-9183cd35363c · inbound

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

A Survey on Efficient Inference for Large Language Models SpotServe: Serving Generative Large Language Models on Preemptible Instances

Reference 275

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:33.475613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7cc2cb92-56fb-4176-8fcb-4f296925bf7a · inbound

Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms cites this paper.

Murakkab: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms SpotServe: Serving Generative Large Language Models on Preemptible Instances

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T17:19:03.179831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dff3f13-9541-48f8-b411-ba022122b361 · inbound

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism cites this paper.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism SpotServe: Serving Generative Large Language Models on Preemptible Instances

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T20:53:32.528246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd50ca64-2b42-46ce-a033-f29409effbdf · inbound

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training cites this paper.

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training SpotServe: Serving Generative Large Language Models on Preemptible Instances

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:24.719754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.