Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.01137.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:48.793477Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T10:44:38.427890Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 78a87b0e-1f71-4793-bdd6-bb2a95d6d53e · inbound
Technical Options for Flexible Hardware-Enabled Guarantees Data movement limits to frontier model training
Reference 61
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d7a0470-0da3-4a63-97e0-0ea2d6c607f8 · inbound
Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment Data movement limits to frontier model training
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 474b7aea-5ef8-4d66-8da4-3dbfca131d92 · inbound
Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling Data movement limits to frontier model training
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd30647b-f175-4240-af80-034878544413 · inbound
Switching Efficiency: A Novel Framework for Dissecting AI Data Center Network Efficiency Data movement limits to frontier model training
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.