Paper Citation Record · LEDGER

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1712.05055.

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

pith.paper-citation-record.v1
1712.05055 v2

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 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T22:25:39.533017Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T23:19:04.197866Z

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 8d34463b-7fe7-4963-b3e3-d66324a65419 · inbound

Product Image Recognition with Guidance Learning and Noisy Supervision cites this paper.

Product Image Recognition with Guidance Learning and Noisy Supervision MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-24T16:09:39.718652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e00c5647-f50b-4760-bb1b-998172068654 · inbound

Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation cites this paper.

Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-24T15:24:37.590848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 418c8c35-9b45-4ba0-b05d-44e5ab10ad82 · inbound

Sharpness-Aware Minimization for Efficiently Improving Generalization cites this paper.

Sharpness-Aware Minimization for Efficiently Improving Generalization MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T20:13:53.471582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 131419a9-d335-4558-830e-5687cbb94f38 · inbound

Collaborative Large and Small Language Models for Accurate and Scalable Data Repair cites this paper.

Collaborative Large and Small Language Models for Accurate and Scalable Data Repair MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-03T23:19:04.200436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.