Paper Citation Record · LEDGER

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2504.18026.

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

pith.paper-citation-record.v1
2504.18026 v4

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:32:52.346773Z

measured 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:46:42.018851Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:49:41.004360Z

Reference resolution

27 of 27 outbound references displayed

verified exact2
verified fuzzy5
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1e809b6-201d-496b-91ba-2ccec29e57f1 · outbound

This paper cites an unresolved cited work.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:32:52.794727Z

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.

Observation e95794fe-aaa6-4b2c-bfc5-4338b584ff5f · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Categorical Reparameterization with Gumbel-Softmax

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.259694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e549341-0767-4bfc-a553-e96b4382158e · outbound

This paper cites Auto-Encoding Variational Bayes.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Auto-Encoding Variational Bayes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.268296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0079a857-2ee3-49f1-b19c-ebff7a8fdfb9 · outbound

This paper cites When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.276927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a92f3e4b-9f38-4717-9a98-fdfbf0156b57 · outbound

This paper cites URL https://doi.org/ 10.1145/1458082.1458092.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization URL https://doi.org/ 10.1145/1458082.1458092

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.288735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee393e61-5e80-4b21-953c-dfb618f2eb58 · outbound

This paper cites Training language models to follow instructions with human feedback.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Training language models to follow instructions with human feedback

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.284859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b07a200-e6c2-4c57-900f-c0d537021bc3 · outbound

This paper cites an unresolved cited work.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:32:52.782584Z

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.

Observation efe3ef62-1572-45f8-bf43-43bc708bd7f7 · outbound

This paper cites cc/paper_files/paper/2021/file/ 60ce36723c17bbac504f2ef4c8a46995-Paper.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization cc/paper_files/paper/2021/file/ 60ce36723c17bbac504f2ef4c8a46995-Paper

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:52.862230Z

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.

Observation fe5d3e13-c2b2-455b-a517-76497bae9968 · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization ImageNet Large Scale Visual Recognition Challenge

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.296272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11cb7afb-1aba-48ee-be2c-69e299fccee0 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Proximal Policy Optimization Algorithms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.300358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5542aaeb-df2e-4f1c-a4dd-d153db6287f6 · outbound

This paper cites A Closer Look at the Intervention Procedure of Concept Bottleneck Models.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization A Closer Look at the Intervention Procedure of Concept Bottleneck Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.303892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74640d21-9075-4e93-b6ef-6314bbfe80a5 · outbound

This paper cites RLVF: Learning from Verbal Feedback without Overgeneralization.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization RLVF: Learning from Verbal Feedback without Overgeneralization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.312439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d7189d2-9f9c-4e51-891b-68ff8fdeb268 · outbound

This paper cites The Llama 3 Herd of Models.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization The Llama 3 Herd of Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.316262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6228eb6-13ea-452b-a3a9-e82d2979bdcd · outbound

This paper cites Caltech ucsd birds.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Caltech ucsd birds

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:52.849871Z

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.

Observation 583e9e21-e880-4e5b-afb1-cc8d533c00d9 · outbound

This paper cites URL https://doi.org/ 10.1145/1553374.1553527.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization URL https://doi.org/ 10.1145/1553374.1553527

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.327684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d64827e-00c7-414c-a0d4-c3fd3b899460 · outbound

This paper cites Following standard procedures, we apply random cropping and flipping to a portion of the images during training.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Following standard procedures, we apply random cropping and flipping to a portion of the images during training

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:52.835723Z

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.

Observation 71588e0d-3676-4dda-95f2-5a1872cbc69c · outbound

This paper cites The final dataset is composed of∼ 6,000 RGB images of dimension (3,299,299) , and split into a standard 70%-10%-20% train-validation-test split.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization The final dataset is composed of∼ 6,000 RGB images of dimension (3,299,299) , and split into a standard 70%-10%-20% train-validation-test split

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:52.809928Z

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.

Observation a9c9f8f1-eae8-40c6-9d6d-824d3087514b · outbound

This paper cites RL with KL penalties is better viewed as Bayesian inference.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization RL with KL penalties is better viewed as Bayesian inference

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.272951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 447a422c-0d7e-467d-8493-e4e132d9be26 · outbound

This paper cites Online Structured Prediction via Coactive Learning.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Online Structured Prediction via Coactive Learning

Reference 2012

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:32:52.545904Z

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.

Observation 01fdffbb-3a4a-4617-ba2d-766710aebe74 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Deep Residual Learning for Image Recognition

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.254225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c86d2940-0100-476f-abf1-8c6039b2021e · outbound

This paper cites Reinforcement Learning with Deep Energy-Based Policies.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Reinforcement Learning with Deep Energy-Based Policies

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.249373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea44e460-195f-44b3-9bda-f4057bbfa9da · outbound

This paper cites Xu, X., Qin, Y ., Mi, L., Wang, H., and Li, X.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Xu, X., Qin, Y ., Mi, L., Wang, H., and Li, X

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.323963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e89d1a-899c-4e2a-8f3d-e4455909203a · outbound

This paper cites Our only departure from Koh et al.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Our only departure from Koh et al

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:52.821555Z

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.

Observation 40f78c91-8426-4ac3-a6c4-2bd1e8205445 · outbound

This paper cites Preference-based Online Learning with Dueling Bandits: A Survey.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Preference-based Online Learning with Dueling Bandits: A Survey

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.240130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e3552b-827e-436c-ba33-3c9292b68169 · outbound

This paper cites Maximum Entropy RL (Provably) Solves Some Robust RL Problems.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.245136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8819980-8916-42af-ba7d-4d476fea7345 · outbound

This paper cites Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:52.280893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a88833a5-17aa-4ae7-8096-72210ec94c51 · outbound

This paper cites EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors.

Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:32:52.715378Z

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.

Pith citing papers

Observation 239ce291-df99-474e-b2cc-3f8b55d94226 · inbound

SynCB: A Synergy Concept-Based Model with Dynamic Routing Between Concepts and Complementary Neural Branches cites this paper.

SynCB: A Synergy Concept-Based Model with Dynamic Routing Between Concepts and Complementary Neural Branches Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:41.005748Z

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.