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Paper Citation Record · LEDGER

Learning with Feature-Dependent Label Noise: A Progressive Approach

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2103.07756.

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

pith.paper-citation-record.v1
2103.07756 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:43:37.457074Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:23:58.313874Z

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 f7aee28b-1762-4b80-80b5-e34fd99b6969 · inbound

Open set label noise learning with robust sample selection and margin-guided module cites this paper.

Open set label noise learning with robust sample selection and margin-guided module Learning with Feature-Dependent Label Noise: A Progressive Approach

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-10T21:43:37.457074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:43:37.457074Z digest=sha256:9c383191c192815576c62c89b53fbc827086b7ce95a5eb472d7cc3cdfac155fd

Observation d5bb7847-372e-4eb2-a36b-7434aa5a7fca · inbound

CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy Labels cites this paper.

CLID-MU: Cross-Layer Information Divergence Based Meta Update Strategy for Learning with Noisy Labels Learning with Feature-Dependent Label Noise: A Progressive Approach

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T17:06:45.277709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:06:45.277709Z digest=sha256:9c78985d51b78e8e534da0ed209d6aff2147703e3d93767126f63184ac55f257

Observation 822941d3-7621-4f28-a12f-e1ab2f7e87fd · inbound

HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels cites this paper.

HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels Learning with Feature-Dependent Label Noise: A Progressive Approach

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:17:06.701995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T02:13:21.564887Z digest=sha256:233573d0a991e2b7a7326133cd9df4e3893c233e6a19114e656776ee97017d7b

Observation 96829a4f-0cd3-42b4-b1d7-c08c10fd06d7 · inbound

Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning cites this paper.

Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning Learning with Feature-Dependent Label Noise: A Progressive Approach

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:48:19.842262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T13:44:57.742503Z digest=sha256:a30fd7a234ae84d56c348e06bf10cda4baa285766358c6b4a720134bc955908d

Observation 3f2e9135-7d0d-4ed9-9ab4-46b2c73b64ec · inbound

Holistic Reliability Propagation: Decoupling Annotation and Prediction for Robust Noisy-Label cites this paper.

Holistic Reliability Propagation: Decoupling Annotation and Prediction for Robust Noisy-Label Learning with Feature-Dependent Label Noise: A Progressive Approach

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:23:58.315367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T05:21:33.160342Z digest=sha256:7b77c22515a5cab538564bd9ded0135549029bb9448a86cde928f5d9486b3bd8