Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.00620.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:48.315561Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T06:40:24.869852Z
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 81ec8b57-3f57-4fc3-9cb2-2abcabc0f840 · inbound
On Weak-to-Strong Generalization and f-Divergence cites this paper.
On Weak-to-Strong Generalization and f-Divergence Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:17:48.315561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c37234fe-e2f6-4053-b4d1-d3031fd63719 · inbound
On the Blessing of Pre-training in Weak-to-Strong Generalization cites this paper.
On the Blessing of Pre-training in Weak-to-Strong Generalization Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
Reference 122
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:36:08.656531Z
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 617ece9a-2073-4d9e-97eb-415f419273d0 · inbound
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
Reference 251
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T01:32:56.037707Z
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 4afd1487-5f3f-4501-89b6-27be0b581b78 · inbound
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.
Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
Reference 251
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:40:24.872274Z
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.