Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.00433.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:23:03.402647Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T23:24:01.885802Z
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 122ba701-649a-4fe9-a9f6-22b1b4863a45 · inbound
OpenOptics: An Open Research Framework for Optical Data Center Networks cites this paper.
OpenOptics: An Open Research Framework for Optical Data Center Networks TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:23:03.402647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d5f2455-6c17-4bf5-b4dd-c37889ae4024 · inbound
Switching Efficiency: A Novel Framework for Dissecting AI Data Center Network Efficiency cites this paper.
Switching Efficiency: A Novel Framework for Dissecting AI Data Center Network Efficiency TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T10:44:38.420370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 42abc7e0-cbdd-4ccf-9484-a9e9a5523320 · inbound
Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization cites this paper.
Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T23:24:01.887333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.