Paper Citation Record · LEDGER

Making Reliable and Flexible Decisions in Long-tailed Classification

As of 11 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2501.14090.

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

pith.paper-citation-record.v1
2501.14090 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:29:11.305829Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

19 of 19 outbound references displayed

verified exact1
verified fuzzy15
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fa38afa-0358-4b38-837c-e1b79ad7949e · outbound

This paper cites Detection of flying birds in airport monitoring based on improved yolov5.

Making Reliable and Flexible Decisions in Long-tailed Classification Detection of flying birds in airport monitoring based on improved yolov5

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.570296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c278c9fa-adf4-4f50-8ecd-151170e201c7 · outbound

This paper cites We will release the code after acceptance.

Making Reliable and Flexible Decisions in Long-tailed Classification We will release the code after acceptance

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.485975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e873e8b1-6c37-45b6-a8b2-a71f784fcc62 · outbound

This paper cites Learning to model the tail.Advances in Neural Information Processing Systems, 30,.

Making Reliable and Flexible Decisions in Long-tailed Classification Learning to model the tail.Advances in Neural Information Processing Systems, 30,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.536705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 726ee8bd-13da-42d4-8e81-67155a6ee581 · outbound

This paper cites multi-expert.

Making Reliable and Flexible Decisions in Long-tailed Classification multi-expert

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.502998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 82c4f6ac-f543-4574-95c8-98ad21c0d889 · outbound

This paper cites Therefore, the computational cost of our method is comparable to existing ensemble models.

Making Reliable and Flexible Decisions in Long-tailed Classification Therefore, the computational cost of our method is comparable to existing ensemble models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.468660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 595c69c0-1b84-41b2-a468-e72adf2cb1b9 · outbound

This paper cites Classes are equally split into three class regions (head, med and tail).

Making Reliable and Flexible Decisions in Long-tailed Classification Classes are equally split into three class regions (head, med and tail)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.453185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 80adf40b-902b-4cea-9331-8ce6d64ad79f · outbound

This paper cites For example, the method in Section 2 of Elkan (2001) does not consider specific error types during the training phase, and fails to incorporate the utility matrix during testing.

Making Reliable and Flexible Decisions in Long-tailed Classification For example, the method in Section 2 of Elkan (2001) does not consider specific error types during the training phase, and fails to incorporate the utility matrix during testing

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T15:29:11.421568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f50d2aca-f874-420a-bc63-704f9d65a7bd · outbound

This paper cites It specifically avoids mispredicting some classes as other classes.

Making Reliable and Flexible Decisions in Long-tailed Classification It specifically avoids mispredicting some classes as other classes

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.404748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4978e119-697a-438d-8e2d-523edd0a831b · outbound

This paper cites Subjective Logic: A formalism for reasoning under uncertainty.

Making Reliable and Flexible Decisions in Long-tailed Classification Subjective Logic: A formalism for reasoning under uncertainty

Reference 1999

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.631025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fedb89c5-c70f-4806-9ca1-68f234d8a349 · outbound

This paper cites * means the results are obtained from a slim version of ResNet50 due to GPU memory limits.

Making Reliable and Flexible Decisions in Long-tailed Classification * means the results are obtained from a slim version of ResNet50 due to GPU memory limits

Reference 2001

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.437410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation acc92fd6-bbfa-4db0-b6f4-346b18a439a5 · outbound

This paper cites The Devil is in the Tails: Fine-grained Classification in the Wild.

Making Reliable and Flexible Decisions in Long-tailed Classification The Devil is in the Tails: Fine-grained Classification in the Wild

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-10T15:29:11.266227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0465a44-8984-4911-852a-76c3be3999eb · outbound

This paper cites Nurse care activity recognition: A cost-sensitive ensemble approach to handle imbalanced class problem in the wild.

Making Reliable and Flexible Decisions in Long-tailed Classification Nurse care activity recognition: A cost-sensitive ensemble approach to handle imbalanced class problem in the wild

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.585172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 879f83c9-3f9b-420e-934f-247b1d796c68 · outbound

This paper cites Loss-Calibrated Approximate Inference in Bayesian Neural Networks.

Making Reliable and Flexible Decisions in Long-tailed Classification Loss-Calibrated Approximate Inference in Bayesian Neural Networks

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T15:29:11.223301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec4b3257-c4cd-43eb-8865-b27e4f2c8524 · outbound

This paper cites Cost-sensitive learning and the class imbalance problem.Encyclopedia of machine learning, 2011:231–235,.

Making Reliable and Flexible Decisions in Long-tailed Classification Cost-sensitive learning and the class imbalance problem.Encyclopedia of machine learning, 2011:231–235,

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.615811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 644d708e-d7eb-4a61-bdc8-c74ef120817f · outbound

This paper cites Predictive uncertainty estimation via prior networks.Advances in Neural Infor- mation Processing Systems, 31,.

Making Reliable and Flexible Decisions in Long-tailed Classification Predictive uncertainty estimation via prior networks.Advances in Neural Infor- mation Processing Systems, 31,

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.600109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a4a9ce44-1b7e-48a8-92fc-7138e4317d9f · outbound

This paper cites Cost-sensitive learning methods for imbalanced data.

Making Reliable and Flexible Decisions in Long-tailed Classification Cost-sensitive learning methods for imbalanced data

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.552910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 84645d5b-32d5-4cf4-91c1-52a79127b2d4 · outbound

This paper cites Loss-calibrated expectation propagation for approximate Bayesian decision-making.

Making Reliable and Flexible Decisions in Long-tailed Classification Loss-calibrated expectation propagation for approximate Bayesian decision-making

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:29:11.368836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7d6e2536-231f-4fe1-bfd1-de8bd53bc96e · outbound

This paper cites Feature space augmentation for long-tailed data.

Making Reliable and Flexible Decisions in Long-tailed Classification Feature space augmentation for long-tailed data

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.646949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e00797a5-f5d0-4e38-9805-2594bf33506e · outbound

This paper cites particle.

Making Reliable and Flexible Decisions in Long-tailed Classification particle

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:29:11.520040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.