Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.15505.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:55.168928Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T06:40:24.832431Z
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 ed79abfa-ca80-40ba-ba07-a6c3837c3d9b · inbound
Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension cites this paper.
Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T03:25:20.542648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1b92c489-2277-4de8-a75a-325b2e6f23fe · inbound
Generalizable Video Quality Assessment via Weak-to-Strong Learning cites this paper.
Generalizable Video Quality Assessment via Weak-to-Strong Learning Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T16:11:45.644203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0cc8084a-71fb-417b-b5c3-3d9b6df60b16 · inbound
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective cites this paper.
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:40:55.168928Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20f3cc88-8a9b-4cb9-b1bd-f2256485f244 · inbound
On Weak-to-Strong Generalization and f-Divergence cites this paper.
On Weak-to-Strong Generalization and f-Divergence Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:17:46.133736Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4790f1c0-6132-40a0-9fb8-2ec552bf9b75 · inbound
Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.
Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Reference 102
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:06:48.219696Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e29a671d-391b-4764-8cf8-136f70281241 · 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 Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Reference 100
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:36:08.607692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 62701946-0bc2-48b8-8266-7ca4d4540ebe · 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 Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Reference 263
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T01:32:55.993644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1d866e90-90aa-445b-9185-da7907f5b8ae · 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 Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Reference 263
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:40:24.835021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 45916c0c-f188-4344-b9b8-424f87242fa8 · inbound
Weak-to-Strong Learning in Decision Making cites this paper.
Weak-to-Strong Learning in Decision Making Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:26:02.690786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.