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:2506.14126.
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 2026-08-05T17:34:48.033757Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-02T11:56:56.020482Z
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 280baf4d-7d34-4999-8a9c-240772f633fe · inbound
Intrinsic Strain-Driven Topological Evolution in SrRuO3 via Flexural Strain Engineering From Memorization to Parameter Interference: How Overtraining Experts Harms Model Merging
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 494394b3-1467-4e9f-b5e4-6f1ccd68891e · inbound
Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss From Memorization to Parameter Interference: How Overtraining Experts Harms Model Merging
Reference 180
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.
Observation cca2cb2c-5734-4bc6-bdd3-a8292f594343 · inbound
Can Model Merging Improve Aggregation in DiLoCo? From Memorization to Parameter Interference: How Overtraining Experts Harms Model Merging
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 295c6de6-2825-41f3-a601-d3454334ba90 · inbound
Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs From Memorization to Parameter Interference: How Overtraining Experts Harms Model Merging
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.