Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.18837.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:24:54.799279Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T06:40:24.930157Z
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 23efeb91-8e79-4ecd-824a-d43630ac8bb8 · inbound
Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4957be1-36c0-49af-b7b8-92a1563f0e93 · inbound
Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a1be95b6-6468-427a-a453-1e4c1be5bf1f · inbound
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
Reference 246
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8c436c7c-dbf9-46cd-a60a-0351c7938e89 · inbound
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
Reference 246
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.