Paper Citation Record · LEDGER

Understanding the Gains from Repeated Self-Distillation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.04600.

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

pith.paper-citation-record.v1
2407.04600 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:11:14.752473Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-25T06:40:24.864721Z

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 4bfc5069-9fde-48bd-a408-74f5244ffb56 · inbound

Self-Improvement in Language Models: The Sharpening Mechanism cites this paper.

Self-Improvement in Language Models: The Sharpening Mechanism Understanding the Gains from Repeated Self-Distillation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T00:11:14.752473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd8946a3-a4f7-4fb2-8b93-54daf4cb1e91 · 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 Understanding the Gains from Repeated Self-Distillation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T21:24:54.860380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5344223-1d26-4afe-90b9-09e5d94c44a0 · 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 Understanding the Gains from Repeated Self-Distillation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:25:20.548336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4afccefc-daf9-4567-82a8-26183f1d0a04 · inbound

Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing cites this paper.

Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing Understanding the Gains from Repeated Self-Distillation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:15.424757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6470b866-4041-4e66-8b03-672a171239d3 · inbound

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation cites this paper.

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation Understanding the Gains from Repeated Self-Distillation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:33:02.540386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4cf80a2-c11a-4ee7-99c1-a35ba0f5af18 · 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 Understanding the Gains from Repeated Self-Distillation

Reference 257

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:32:55.900633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8fd6d387-4c68-4a29-82fa-f685e6dfe412 · 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 Understanding the Gains from Repeated Self-Distillation

Reference 257

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:40:24.867608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3126bad-c1aa-4cc9-aa1d-736120002e4e · inbound

Optimal Self-Distillation for Rectified Flow via Linear Probing cites this paper.

Optimal Self-Distillation for Rectified Flow via Linear Probing Understanding the Gains from Repeated Self-Distillation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.875766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.