Paper Citation Record · LEDGER

Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.04594.

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

pith.paper-citation-record.v1
2406.04594 v2

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:48:06.459226Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T08:13:08.648644Z

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 983746da-af69-46bf-bde7-e9a72e10ea76 · inbound

Yi-Lightning Technical Report cites this paper.

Yi-Lightning Technical Report Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T04:34:12.028403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93eb7115-4c93-4c96-bd04-496e3725338c · inbound

An Extensible Software Transport Layer for GPU Networking cites this paper.

An Extensible Software Transport Layer for GPU Networking Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:06.459226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cceb7542-ddcf-4471-bc72-697c3d9c0b79 · inbound

MultiPath Memory Access: Breaking Host-GPU Bandwidth Bottlenecks in LLM Services cites this paper.

MultiPath Memory Access: Breaking Host-GPU Bandwidth Bottlenecks in LLM Services Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:58:35.762214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b91126b7-10e5-4f28-baf9-a6e33d9cb7a8 · inbound

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet cites this paper.

EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:13:08.650236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.