Paper Citation Record · LEDGER

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2010.01809.

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

pith.paper-citation-record.v1
2010.01809 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:57:49.394395Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T20:03:56.737575Z

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 44ebfdd3-07b4-4aa5-aec4-f75cf4d6d555 · inbound

Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning cites this paper.

Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:58:39.042192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ea0c7d9f-bee8-4b51-aac9-28875808fd4e · inbound

Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation cites this paper.

Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T17:00:20.558161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58307d81-196d-41bb-b205-8becf3f9daba · inbound

Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation cites this paper.

Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T20:25:13.678504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24af9ffe-8157-4354-9051-e7029eedacd5 · inbound

Cluster-guided Contrastive Class-imbalanced Graph Classification cites this paper.

Cluster-guided Contrastive Class-imbalanced Graph Classification Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T13:34:07.261409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea967dec-2ac3-45fe-b15c-d3057cf158a3 · inbound

Prior2Posterior: Model Prior Correction for Long-Tailed Learning cites this paper.

Prior2Posterior: Model Prior Correction for Long-Tailed Learning Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T10:35:05.893135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431b4bf7-71e7-46eb-a836-2597edfd179c · inbound

Solving the long-tailed distribution problem by exploiting the synergies and balance of different techniques cites this paper.

Solving the long-tailed distribution problem by exploiting the synergies and balance of different techniques Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T15:41:36.867122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8082a623-a28e-446e-86d0-792c6dc26653 · inbound

Generative Data Mining with Longtail-Guided Diffusion cites this paper.

Generative Data Mining with Longtail-Guided Diffusion Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-09T13:53:04.667514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c2fb6be-6d7a-4393-85ed-a2370ac57320 · inbound

Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression cites this paper.

Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:25.557874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f8862c1-d048-438f-b00b-cd0d7ceddae8 · inbound

Compositional Attribute Imbalance in Vision Datasets cites this paper.

Compositional Attribute Imbalance in Vision Datasets Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:49.394395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f680cb-a6c6-4332-b8c8-a79b9b2c555b · inbound

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts cites this paper.

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:52:23.195032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee30930c-2693-42d0-b7db-8ecb0c2ac013 · inbound

Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition cites this paper.

Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T15:42:16.243040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 790b9d82-bcbd-4d4f-8b78-e55ed153e6be · inbound

Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View cites this paper.

Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:21:16.672881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 25a3d6ab-05ec-4ae4-a0f3-24a35accdb2d · inbound

Class-frequency Guided Noise Schedule for Diffusion Models cites this paper.

Class-frequency Guided Noise Schedule for Diffusion Models Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T20:03:56.739064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 19dd2606-7d7e-4d10-83eb-6168a7dd8e4a · inbound

Beyond Static Costs: Learning-Dynamics Aware Loss Functions for Long-Tailed Classification cites this paper.

Beyond Static Costs: Learning-Dynamics Aware Loss Functions for Long-Tailed Classification Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T01:26:07.746300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.