Paper Citation Record · LEDGER

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2608.11287.

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

pith.paper-citation-record.v1
2608.11287 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:17:36.826108Z

measured 28 of 28 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact4
verified fuzzy20
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation acbb64fa-cb77-4cda-b9a1-4dc474674c59 · outbound

This paper cites Learning imbalanced datasets with label-distribution-aware margin loss.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Learning imbalanced datasets with label-distribution-aware margin loss

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.538128Z

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.

Observation c7dd7a22-bc5a-47a1-8261-15a0e1a82086 · outbound

This paper cites Parametric contrastive learning.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Parametric contrastive learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.523483Z

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.

Observation 1d0f205f-d390-4af6-8343-cf467bcb88e6 · outbound

This paper cites Generalized parametric contrastive learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Generalized parametric contrastive learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T14:17:36.705745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9125848-0bcb-4925-9c47-3b18278e7cc6 · outbound

This paper cites Class-balanced loss based on effective number of samples.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Class-balanced loss based on effective number of samples

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.509119Z

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.

Observation e0168e94-93bb-473d-9cf3-b413436035ec · outbound

This paper cites Disentan- gling label distribution for long-tailed visual recognition.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Disentan- gling label distribution for long-tailed visual recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.494113Z

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.

Observation 5b8d958c-d5d1-4cfc-81b1-472c09311c05 · outbound

This paper cites Ensemble partition sampling (eps) for improved multi-class classification.IEEE Access, 11:48221–48235, 2023.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Ensemble partition sampling (eps) for improved multi-class classification.IEEE Access, 11:48221–48235, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T14:17:36.720820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 552841ec-09cd-4914-91fa-ce4fafb55758 · outbound

This paper cites Decoupling representation and classifier for long-tailed recognition.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Decoupling representation and classifier for long-tailed recognition

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.479081Z

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.

Observation b4c62deb-9a10-4193-a4ef-9b19f68259c2 · outbound

This paper cites Focal loss for dense object detection.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Focal loss for dense object detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.464392Z

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.

Observation ceafd55b-feb5-40a5-aaa3-a9d694dc1f17 · outbound

This paper cites Long-tailed classification with multi-granularity semantics.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Long-tailed classification with multi-granularity semantics

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T14:17:36.735420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ac0626-7ad0-4b9e-a4d9-a3470b4f410b · outbound

This paper cites Large-scale long-tailed recognition in an open world.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Large-scale long-tailed recognition in an open world

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.449351Z

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.

Observation cb9b5c91-0590-4e1d-8ba4-b54d4b548ae4 · outbound

This paper cites Long-tailed recognition with model rebalancing.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Long-tailed recognition with model rebalancing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.434436Z

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.

Observation 80f84151-5d31-4cf2-ae4a-4623fbce90ec · outbound

This paper cites Aligned Contrastive Loss for Long-Tailed Recognition.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Aligned Contrastive Loss for Long-Tailed Recognition

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:17:36.966594Z

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.

Observation 599acf57-376d-4e17-bb96-a2d558962b2f · outbound

This paper cites Long-tail learning via logit adjustment.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Long-tail learning via logit adjustment

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.419871Z

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.

Observation 574bbdb0-a0dc-4b7f-bce6-f800a44ea288 · outbound

This paper cites Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:17:36.931343Z

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.

Observation 2cf4ae36-03ed-40ee-96b5-16d507c956b5 · outbound

This paper cites Balanced meta-softmax for long-tailed visual recognition.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Balanced meta-softmax for long-tailed visual recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.403904Z

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.

Observation ad2050af-0a5f-4471-865f-ea8a924066e8 · outbound

This paper cites In defense of One-Vs-All classification.Journal of Machine Learning Research, 5:101–141, 2004.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification In defense of One-Vs-All classification.Journal of Machine Learning Research, 5:101–141, 2004

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.387829Z

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.

Observation 62100027-1de3-469e-b081-8340fef24ef2 · outbound

This paper cites Salehi and M.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Salehi and M

Reference 17

Resolution: verified exact; doi, observed 2026-08-15T14:17:36.896956Z

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.

Observation 776b38fc-5d16-4c81-9bd2-0a5ca381c6f8 · outbound

This paper cites Distributional robustness loss for long-tail learning.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Distributional robustness loss for long-tail learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.372151Z

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.

Observation 9676ca54-9d37-4eb1-b0ea-04b1bbb6ae74 · outbound

This paper cites Long-tailed classification by keeping the good and removing the bad momentum causal effect.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Long-tailed classification by keeping the good and removing the bad momentum causal effect

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.357219Z

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.

Observation c0343b12-3117-484b-95ca-cd06ef4ad2c5 · outbound

This paper cites an unresolved cited work.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:17:37.342302Z

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.

Observation b77d36e6-1479-4721-85b9-64b3dc70c892 · outbound

This paper cites Balanced knowledge distillation for long-tailed learning.Neurocomputing, 527:36–46, 2023.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Balanced knowledge distillation for long-tailed learning.Neurocomputing, 527:36–46, 2023

Reference 21

Resolution: verified exact; doi, observed 2026-08-15T14:17:36.872101Z

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.

Observation 25884751-5efb-42e7-920e-5fd0df03d16d · outbound

This paper cites Distribution alignment: A unified framework for long-tail visual recognition.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Distribution alignment: A unified framework for long-tail visual recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.326999Z

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.

Observation c5d25d50-91eb-4eba-8562-39b45fd0ab25 · outbound

This paper cites Self-supervised aggregation of diverse experts for test-agnostic long-tailed recognition.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Self-supervised aggregation of diverse experts for test-agnostic long-tailed recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.309213Z

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.

Observation b3ef49d6-897e-400a-96c6-f41289a1744b · outbound

This paper cites MDCS: More diverse experts with consistency self-distillation for long-tailed recognition.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification MDCS: More diverse experts with consistency self-distillation for long-tailed recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.292014Z

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.

Observation 113fabbf-dcd0-4280-8ae8-dadbde8dfe15 · outbound

This paper cites LTRL: Boosting long-tail recognition via reflective learning.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification LTRL: Boosting long-tail recognition via reflective learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.275353Z

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.

Observation a6024621-53f2-4532-8cda-a8b5d99927c4 · outbound

This paper cites Improving calibration for long-tailed recognition.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Improving calibration for long-tailed recognition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.257925Z

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.

Observation cc0b4e58-8acc-44bf-a2ac-89fc8c226711 · outbound

This paper cites BBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification BBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.239736Z

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.

Observation fa1f0df5-1872-40f9-845b-daca6577693b · outbound

This paper cites Balanced contrastive learning for long-tailed visual recognition.

CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification Balanced contrastive learning for long-tailed visual recognition

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:17:37.223534Z

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.

Pith citing papers

No inbound Pith citation observations are available.