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Paper Citation Record · LEDGER

Curriculum Loss: Robust Learning and Generalization against Label Corruption

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1905.10045.

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

pith.paper-citation-record.v1
1905.10045 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 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:55:05.204877Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:07:05.480951Z

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 002d039d-4ffe-43b9-849a-90d2bb57e925 · 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 Curriculum Loss: Robust Learning and Generalization against Label Corruption

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T22:55:05.204877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:55:05.204877Z digest=sha256:e82fb2624d92a2e7d34306da5e622a54d4c84a66c01fae17b8060843e32ab9d2

Observation 05043ad3-2918-4e56-b28a-1e9612020654 · inbound

Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise cites this paper.

Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise Curriculum Loss: Robust Learning and Generalization against Label Corruption

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:16:02.302122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T17:15:00.583884Z digest=sha256:c23c1b1f28a8589a43abf48c08507a6bf0613d9f56122357a7a44971b763f579

Observation dc976fdb-9ecb-4aae-8eea-d3293d940edb · inbound

On the Stationary Duality of Structural Composite Cardinality Optimization cites this paper.

On the Stationary Duality of Structural Composite Cardinality Optimization Curriculum Loss: Robust Learning and Generalization against Label Corruption

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:01:31.098005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-12T01:23:07.808864Z digest=sha256:f8fffec4618128e2db31838b57a6b6b109108dd5140cf1b4a112f5ac59e069b7

Observation 10238522-67c8-4388-99a5-c972c216732a · inbound

Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets cites this paper.

Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets Curriculum Loss: Robust Learning and Generalization against Label Corruption

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:14:22.020567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T06:54:19.251168Z digest=sha256:b2918c33620ce39fb90f303b1332027fc611e17c9ad98be2c9eb3b7d39298e1f

Observation f0732a1f-eac7-4eec-b788-b3631fd21efd · inbound

Stochastic Order Learning: An Approach to Rank Estimation Using Noisy Data cites this paper.

Stochastic Order Learning: An Approach to Rank Estimation Using Noisy Data Curriculum Loss: Robust Learning and Generalization against Label Corruption

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-07-10T13:07:05.482805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T13:02:45.638067Z digest=sha256:3badbeddb96942aae4ab1cc07bc3ea39d518c16c11114b5b322b90c411b4ffb1