Paper Citation Record · LEDGER

SELF: Learning to Filter Noisy Labels with Self-Ensembling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1910.01842.

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

pith.paper-citation-record.v1
1910.01842 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:53.683602Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:58:42.740540Z

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 0f20ca6a-7a24-427a-ac92-eed0d02bfb06 · inbound

Unleashing the Power of Large Language Model for Denoising Recommendation cites this paper.

Unleashing the Power of Large Language Model for Denoising Recommendation SELF: Learning to Filter Noisy Labels with Self-Ensembling

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T22:50:53.683602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8eabbe0-fb06-44e3-b0dc-c6c25b605aa0 · 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 SELF: Learning to Filter Noisy Labels with Self-Ensembling

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:15.265408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa543a3-6115-49ba-a754-bcb08d14409a · inbound

Why Can Accurate Models Be Learned from Inaccurate Annotations? cites this paper.

Why Can Accurate Models Be Learned from Inaccurate Annotations? SELF: Learning to Filter Noisy Labels with Self-Ensembling

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:10:12.600687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98226178-f687-4e90-889f-9e00a7ee588c · inbound

MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images cites this paper.

MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images SELF: Learning to Filter Noisy Labels with Self-Ensembling

Reference 116

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:20.435376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f01e8846-4b27-40b8-8f23-1efdd74b023d · inbound

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement cites this paper.

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement SELF: Learning to Filter Noisy Labels with Self-Ensembling

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:22.275291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aca5d7a5-c54a-41dd-a2e8-69059efadc4b · inbound

Commuting Distance Regularization for Timescale-Dependent Label Inconsistency in EEG Emotion Recognition cites this paper.

Commuting Distance Regularization for Timescale-Dependent Label Inconsistency in EEG Emotion Recognition SELF: Learning to Filter Noisy Labels with Self-Ensembling

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:28:41.422945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b82dc2f0-d55c-4bc7-9cd0-e909241983b3 · inbound

Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition cites this paper.

Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition SELF: Learning to Filter Noisy Labels with Self-Ensembling

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:05.220582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28e9f8f4-9574-42e8-982d-1656dca018b8 · inbound

Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook cites this paper.

Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook SELF: Learning to Filter Noisy Labels with Self-Ensembling

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:58:42.742274Z

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 82c96488-079e-4cdb-8e03-07eacb4addfc · inbound

Can LLMs Learn to Reason Robustly under Noisy Supervision? cites this paper.

Can LLMs Learn to Reason Robustly under Noisy Supervision? SELF: Learning to Filter Noisy Labels with Self-Ensembling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.338408Z

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.