Paper Citation Record · LEDGER

Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.15505.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.15505 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:24:54.832810Z

measured 0 of 1 external citation measurements

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 19209a6f-fe21-4dfc-af0c-2c0d9936908a · inbound

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss cites this paper.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.832810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eaae1ac-48a2-4949-a564-3872da83d1c7 · inbound

The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration cites this paper.

The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T15:23:15.155828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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.