Paper Citation Record · LEDGER

Retraining with Predicted Hard Labels Provably Increases Model Accuracy

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.11206.

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

pith.paper-citation-record.v1
2406.11206 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:12.139557Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:40:24.853926Z

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 646644d7-ad3d-4695-86f7-cc3766a5d9db · 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 Retraining with Predicted Hard Labels Provably Increases Model Accuracy

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:12.139557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 898fd987-cb19-47e6-92fb-a8728b8a78ad · inbound

Power Distribution Bridges Sampling, Self-Reward RL, and Self-Distillation cites this paper.

Power Distribution Bridges Sampling, Self-Reward RL, and Self-Distillation Retraining with Predicted Hard Labels Provably Increases Model Accuracy

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:56:08.376239Z

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 fcc0fbc6-6611-456b-a647-5a00b89b1622 · 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 Retraining with Predicted Hard Labels Provably Increases Model Accuracy

Reference 259

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:32:55.952103Z

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 1902d477-d63e-421a-965f-2a3ef69a73dc · 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 Retraining with Predicted Hard Labels Provably Increases Model Accuracy

Reference 259

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:40:24.857529Z

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.