Paper Citation Record · LEDGER

Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.20018.

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

pith.paper-citation-record.v1
2407.20018 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:38:37.916772Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:41.579709Z

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 b2f3e50e-429e-49c5-a34f-2335320523e8 · inbound

MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall cites this paper.

MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T11:38:37.916772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00f2ef55-9fe8-4264-96dc-1c6bd9358894 · inbound

Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI cites this paper.

Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T19:21:36.358858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35de0436-c3a4-484f-9168-1ffb5cd22212 · inbound

ChipLight: Cross-Layer Optimization of Chiplet Design with Optical Interconnects for LLM Training cites this paper.

ChipLight: Cross-Layer Optimization of Chiplet Design with Optical Interconnects for LLM Training Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:53:29.559405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 48726fde-754e-426c-a80f-d1b89877c04d · inbound

Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference cites this paper.

Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:14.281289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0022a8f5-28ce-4012-a5fb-decb4f70c9d3 · inbound

CommFuse: Hiding Tail Latency via Communication Decomposition and Fusion for Distributed LLM Training cites this paper.

CommFuse: Hiding Tail Latency via Communication Decomposition and Fusion for Distributed LLM Training Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:41.715760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1b1de13c-ecb6-40ec-8e2b-b8ba318d603e · inbound

Design-CP: Context Parallelism for Design of Protein Nanoparticles cites this paper.

Design-CP: Context Parallelism for Design of Protein Nanoparticles Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-12T02:29:52.764344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.