Paper Citation Record · LEDGER

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability

As of 15 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2412.19018.

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

pith.paper-citation-record.v1
2412.19018 v4

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T01:04:36.910531Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

32 of 32 outbound references displayed

verified exact3
verified fuzzy20
unresolved6
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2d972c3-c160-4617-8fe9-1e4bb9ec832a · outbound

This paper cites Optimizing Class-Level Probability Reweighting Coefficients for Equitable Prompting Accuracy.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Optimizing Class-Level Probability Reweighting Coefficients for Equitable Prompting Accuracy

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T01:04:36.648208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5993bf0-6058-4a52-b720-53c9726fe624 · outbound

This paper cites Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.814222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 181e22af-b37f-41d0-843d-b4fe4640d8f1 · outbound

This paper cites Carvalho, Eduardo M.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Carvalho, Eduardo M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.793486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ea1d1a93-271c-43cd-83ea-4f9a2dda7ff3 · outbound

This paper cites Vernon, Naoki Masuyama, and Yusuke Nojima.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Vernon, Naoki Masuyama, and Yusuke Nojima

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.775448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 547aa9ae-ef29-4a86-9d84-df3ef574b2c4 · outbound

This paper cites Explainable Artificial Intelligence: a Systematic Review.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Explainable Artificial Intelligence: a Systematic Review

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T01:04:36.676414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4ea1d1f-11fc-47d0-8f76-4c37758b965d · outbound

This paper cites Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.758882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7da0e6a3-28e2-4fd0-9f07-9f24539b9fd0 · outbound

This paper cites Performance Evaluation of Fuzzy Classifier Systems for Multidimensional Pattern Classification Problems.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Performance Evaluation of Fuzzy Classifier Systems for Multidimensional Pattern Classification Problems

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-08-11T01:04:36.699097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24bc01bb-d3aa-42a7-8eaa-0921474fc72b · outbound

This paper cites Hybridization of Fuzzy GBML Approaches for Pattern Classification Problems.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Hybridization of Fuzzy GBML Approaches for Pattern Classification Problems

Reference 8

Resolution: verified exact; raw_fallback, observed 2026-08-11T01:04:37.193440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5e3935ad-dc53-4c21-8c47-05b375b58741 · outbound

This paper cites Multiobjective Fuzzy Genetics-based Machine Learning with a Reject Option.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Multiobjective Fuzzy Genetics-based Machine Learning with a Reject Option

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.735125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6674146-962f-4bb4-941f-cc79fb4acc8a · outbound

This paper cites A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.710616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6ba775f-8828-46e0-b5a0-17b6fba26ae9 · outbound

This paper cites Gorzałczany and Filip Rudzi ´nski.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Gorzałczany and Filip Rudzi ´nski

Reference 11

Resolution: verified exact; doi, observed 2026-08-11T01:04:37.010730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 365953a2-37d6-4e33-8ca2-051c387999a8 · outbound

This paper cites an unresolved cited work.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:37.688306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 78d52ddf-7f5e-4b1c-afb6-d45c49995520 · outbound

This paper cites Language models are few-shot learners.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Language models are few-shot learners

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.660675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 446dfada-0130-47b0-9873-ef00bc16a793 · outbound

This paper cites Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-11T01:04:36.757811Z

Source-reported events for the cited work

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Observation 3112d101-dd0f-401f-82b3-5f3e8070af7c · outbound

This paper cites Calibrate Before Use: Improving Few-shot Performance of Language Models.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Calibrate Before Use: Improving Few-shot Performance of Language Models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.637403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d6dda841-44cc-46a9-843a-7f18c461d636 · outbound

This paper cites an unresolved cited work.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:37.613822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29d552a8-78f8-4e28-84ea-3f5668e0acba · outbound

This paper cites Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.592295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 74fc3e2d-d61a-4e14-9516-081e7f86b7d4 · outbound

This paper cites Exploiting cloze-questions for few-shot text classifica- tion and natural language inference.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Exploiting cloze-questions for few-shot text classifica- tion and natural language inference

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.538442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cb98c29d-2152-4a52-a54a-576522a57aef · outbound

This paper cites Mitigating label biases for in- context learning.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Mitigating label biases for in- context learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.521822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 845a481e-ee11-49c1-bf86-90a0b6f0ab02 · outbound

This paper cites Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.497050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 74988ce2-d53c-4da3-891a-870c5983891e · outbound

This paper cites Garey and D.S.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Garey and D.S

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.477344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6a51324-25c3-43fd-98a7-b24d9afc3d12 · outbound

This paper cites Character-level Convolutional Net- works for Text Classification.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Character-level Convolutional Net- works for Text Classification

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.452163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 267c6329-f264-4b3b-ad94-260aa294565a · outbound

This paper cites DBpedia: A Nucleus for A Web of Open Data.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability DBpedia: A Nucleus for A Web of Open Data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.433471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c969e410-b2bc-4cf9-adfa-1311e187bfab · outbound

This paper cites Manning, Andrew Ng, and Christopher Potts.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Manning, Andrew Ng, and Christopher Potts

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.393835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4b7365bc-ea08-431c-b94d-c11b436b8e8d · outbound

This paper cites V oorhees and Dawn M.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability V oorhees and Dawn M

Reference 25

Resolution: verified exact; doi, observed 2026-08-11T01:04:36.966836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a79a5e9d-5f62-4973-a443-061a0c91ec5c · outbound

This paper cites Learning Question Classifiers.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Learning Question Classifiers

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.349391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0925404f-d637-4e78-898f-2b372fd31d3f · outbound

This paper cites The PASCAL Recognising Textual Entailment Challenge.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability The PASCAL Recognising Textual Entailment Challenge

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.330825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 193956f1-d0cf-4ec1-8a17-5a326cc2e74c · outbound

This paper cites SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013).

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.308143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 99733c9a-276e-4a9f-b9ec-cb1b40e34740 · outbound

This paper cites PubMedQA: A Dataset for Biomedical Research Question Answering.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T01:04:37.262871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 426d6ad3-2eb1-4e4f-9b83-32695cbc8191 · outbound

This paper cites Chain-of-Thought Unfaithfulness as Disguised Accuracy.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Chain-of-Thought Unfaithfulness as Disguised Accuracy

Reference 30

Resolution: malformed identifier; no resolver link, observed 2026-08-11T01:04:36.910531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b62a50e-6a79-44f6-99bb-c2c0245b659e · outbound

This paper cites an unresolved cited work.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Unresolved cited work

Reference 2013

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:37.286857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df3cb4b9-fb7a-47e5-a45c-b12b776daeab · outbound

This paper cites an unresolved cited work.

Let the Fuzzy Rule Speak: Enhancing In-context Learning Debiasing with Interpretability Unresolved cited work

Reference 2021

Resolution: unresolved; raw_fallback, observed 2026-08-11T01:04:37.563104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.