Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.05499.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:52.213733Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T21:17:08.059177Z
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 117cc19d-99ad-4a05-a2b4-f193944b9708 · inbound
MIST: A Co-Design Framework for Heterogeneous, Multi-Stage LLM Inference cites this paper.
MIST: A Co-Design Framework for Heterogeneous, Multi-Stage LLM Inference LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:17:08.061924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4d0adc31-b0f8-4038-abe3-c8b97373299e · inbound
A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO cites this paper.
A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:57:52.213733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca05cc9a-3fcb-4374-a933-b57939f39fab · inbound
Evaluating Cross-Architecture Performance Modeling of Distributed ML Workloads Using StableHLO cites this paper.
Evaluating Cross-Architecture Performance Modeling of Distributed ML Workloads Using StableHLO LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T11:16:09.512133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.