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Paper Citation Record · LEDGER

Simulating LLM training workloads for heterogeneous compute and network infrastructure

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2508.05370.

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

pith.paper-citation-record.v1
2508.05370 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:26:04.469761Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T08:59:55.774756Z

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 592b554b-db53-4385-be69-af70bd19443d · inbound

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions cites this paper.

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions Simulating LLM training workloads for heterogeneous compute and network infrastructure

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T23:26:04.469761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:26:04.469761Z digest=sha256:e1062496f718edd133d1b0a2714d3972f859fdfd4e7381cd58b29f4a298c64df

Observation 911a80a2-2dee-4981-9c2d-65c73f9342ed · inbound

Charon: A Unified and Fine-Grained Simulator for Large-Scale LLM Training and Inference cites this paper.

Charon: A Unified and Fine-Grained Simulator for Large-Scale LLM Training and Inference Simulating LLM training workloads for heterogeneous compute and network infrastructure

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T14:13:21.190468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T14:11:58.106397Z digest=sha256:27d0b5a8da256a0d1811a116b50912d2dc2e5321d9dcc863829b896a7da15248

Observation 53d0dac3-c8d3-442f-ab96-880925d3946b · inbound

Charon: A Unified and Fine-Grained Simulator for Large-Scale LLM Training and Inference cites this paper.

Charon: A Unified and Fine-Grained Simulator for Large-Scale LLM Training and Inference Simulating LLM training workloads for heterogeneous compute and network infrastructure

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:59:55.776519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T08:55:31.298030Z digest=sha256:c80ad866bc9cc9974b883f992f5a6e838b50f2a83e6b2f3ac3a68b7f56c0dd45