Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.17924.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:40.912008Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T19:44:19.685465Z
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 6029fd40-a76e-4839-af60-db72a895e22e · inbound
Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations cites this paper.
Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:32:40.912008Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54438187-5bdc-4664-a4c7-a00147aabc7c · inbound
KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads cites this paper.
KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:30:24.514841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24261838-0665-494d-b266-8a4f179684f3 · inbound
InfiniPipe: Elastic Pipeline Parallelism for Efficient Variable-Length Long-Context LLM Training cites this paper.
InfiniPipe: Elastic Pipeline Parallelism for Efficient Variable-Length Long-Context LLM Training WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T14:06:27.308023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4079208c-6b8f-41cd-8e90-5c2bfba5487f · inbound
MTraining: Distributed Dynamic Sparse Attention for Efficient Ultra-Long Context Training cites this paper.
MTraining: Distributed Dynamic Sparse Attention for Efficient Ultra-Long Context Training WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T19:44:19.687243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6c36b1aa-a00e-42d3-a1b9-dee65d3330ec · inbound
MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production cites this paper.
MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:06:15.026988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.