Paper Citation Record · LEDGER

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2010.02347.

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

pith.paper-citation-record.v1
2010.02347 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:20.675720Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:07:47.665848Z

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 10081d95-f9ab-4f44-82ba-f2b32eabc3c9 · inbound

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond cites this paper.

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:48:28.742669Z

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 ce26d942-c930-420b-9eec-eff8c54df302 · 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 Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:20.675720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d1eca2a-74a0-4a57-8683-b505b418ed6f · inbound

On Symmetric Losses for Robust Policy Optimization with Noisy Preferences cites this paper.

On Symmetric Losses for Robust Policy Optimization with Noisy Preferences Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:27:53.256875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a67ae3d-42aa-416e-8f56-380513413022 · inbound

Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring cites this paper.

Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:25.734664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10e4f5ca-23de-4860-8a0f-35b3a627e8d0 · inbound

NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning cites this paper.

NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T08:24:34.273575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b06a8ca-2b04-45fd-b523-ad3294dea0e8 · inbound

Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise cites this paper.

Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:50:48.007080Z

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 973dda79-a4ef-4b79-ae02-0cc2de33dcf1 · inbound

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching cites this paper.

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:07:47.667254Z

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.