Paper Citation Record · LEDGER

Label Refinery: Improving ImageNet Classification through Label Progression

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1805.02641.

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

pith.paper-citation-record.v1
1805.02641 v1

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 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:17:56.822206Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T12:04:25.639593Z

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 db90420b-c42b-4b2b-af40-3ce1feadc12b · inbound

Adaptive Regularization of Labels cites this paper.

Adaptive Regularization of Labels Label Refinery: Improving ImageNet Classification through Label Progression

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T13:17:56.822206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 604d3f5b-ede4-4ab7-9f78-49dc714c6e78 · inbound

Efficient Deep Neural Networks cites this paper.

Efficient Deep Neural Networks Label Refinery: Improving ImageNet Classification through Label Progression

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T12:19:53.193184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5e9224e-92ca-41df-85ff-b9c8bc77a514 · inbound

Confidence Regularized Self-Training cites this paper.

Confidence Regularized Self-Training Label Refinery: Improving ImageNet Classification through Label Progression

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T11:04:11.001014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea74ce4e-1603-4cda-bfc3-076d3dbfd768 · inbound

Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix cites this paper.

Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix Label Refinery: Improving ImageNet Classification through Label Progression

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-24T12:04:25.643073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76af6a9e-953c-4f67-8edd-abe52e4dc7aa · inbound

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch cites this paper.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Label Refinery: Improving ImageNet Classification through Label Progression

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:47:33.553089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4997b41-59d2-4054-b3cf-d19d16a599b1 · inbound

Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing cites this paper.

Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing Label Refinery: Improving ImageNet Classification through Label Progression

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:16:38.953205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f5cfe1-c749-4cf5-9f5f-8d8072340fb3 · inbound

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning cites this paper.

NT-ML: Backdoor Defense via Non-target Label Training and Mutual Learning Label Refinery: Improving ImageNet Classification through Label Progression

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:04.143167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.