FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines | Paper Citation Record

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Unresolved cited work

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This paper cites Digitized trust in human-in-the-loop health research.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Digitized trust in human-in-the-loop health research

Reference 2

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This paper cites Uncovering bias in personal informatics.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Uncovering bias in personal informatics

Reference 3

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This paper cites Trust in ai-assisted decision making: Perspectives from those behind the system and those for whom the decision is made.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Trust in ai-assisted decision making: Perspectives from those behind the system and those for whom the decision is made

Reference 4

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This paper cites Fairness and Bias in Multimodal AI: A Survey.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Fairness and Bias in Multimodal AI: A Survey

Reference 5

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This paper cites Caton and C.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Caton and C

Reference 6

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This paper cites Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies

Reference 7

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Observation d03b7c7f-b17f-4035-9b72-5aec75831545 · outbound

This paper cites Bias mitigation for machine learning classifiers: A comprehensive survey.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Bias mitigation for machine learning classifiers: A comprehensive survey

Reference 8

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Observation 77a0dc8f-40a3-4fb0-9693-8cfa104f6314 · outbound

This paper cites A survey on bias and fairness in machine learning.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines A survey on bias and fairness in machine learning

Reference 9

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This paper cites Fair enough: Searching for sufficient measures of fairness.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Fair enough: Searching for sufficient measures of fairness

Reference 10

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This paper cites The possibility of fairness: Revisiting the impossibility theorem in practice.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines The possibility of fairness: Revisiting the impossibility theorem in practice

Reference 11

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This paper cites Fair Enough? A map of the current limitations of the requirements to have fair algorithms.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Fair Enough? A map of the current limitations of the requirements to have fair algorithms

Reference 12

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This paper cites The (im) possibility of fairness: Different value systems require different mechanisms for fair decision making.Communications of the ACM, 64(4):136–143, 2021.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines The (im) possibility of fairness: Different value systems require different mechanisms for fair decision making.Communications of the ACM, 64(4):136–143, 2021

Reference 13

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This paper cites Humans’ bias blind spot and its societal significance.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Humans’ bias blind spot and its societal significance

Reference 14

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This paper cites Cognitive biases that are warping your perception of reality, 2021.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Cognitive biases that are warping your perception of reality, 2021

Reference 15

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This paper cites Judgment under uncertainty: Heuristics and biases.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Judgment under uncertainty: Heuristics and biases

Reference 16

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This paper cites Responsible artificial intelligence—from principles to practice: A keynote at thewebconf 2022.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Responsible artificial intelligence—from principles to practice: A keynote at thewebconf 2022

Reference 17

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This paper cites Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods

Reference 18

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This paper cites Towards a standard for identifying and managing bias in artificial intelligence, volume 3.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Towards a standard for identifying and managing bias in artificial intelligence, volume 3

Reference 19

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This paper cites A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Reference 20

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Erc science journalism initiative, 2024

Reference 21

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This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 22

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This paper cites Generative ai service implementation using llm application architecture: based on rag model and langchain framework.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Generative ai service implementation using llm application architecture: based on rag model and langchain framework

Reference 23

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This paper cites A fine-tuning enhanced rag system with quantized influence measure as ai judge.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines A fine-tuning enhanced rag system with quantized influence measure as ai judge

Reference 24

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This paper cites Fairerml: An extensible platform for analysing, visualising, and mitigating biases in machine learning [application notes].

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Fairerml: An extensible platform for analysing, visualising, and mitigating biases in machine learning [application notes]

Reference 25

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This paper cites Knowledge graphs: Opportunities and challenges.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Knowledge graphs: Opportunities and challenges

Reference 26

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This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 27

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Comprehensible artificial intelligence on knowledge graphs: A survey

Reference 28

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Practices for governing agentic ai systems

Reference 29

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Recursive introspection: Teaching language model agents how to self-improve, 2024

Reference 30

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This paper cites Harms from increasingly agentic algorithmic systems.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Harms from increasingly agentic algorithmic systems

Reference 31

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This paper cites Fundamental limitations of generative llms.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Fundamental limitations of generative llms

Reference 32

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Artificial intelligence, trust, and perceptions of agency

Reference 33

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Fft: Towards harmlessness evaluation and analysis for llms with factuality, fairness, toxicity, 2024

Reference 34

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Gender fairness in llms using prompt engineering and in-context learning

Reference 35

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This paper cites From ’showgirls’ to ’performers’: Fine-tuning with gender-inclusive language for bias reduction in llms, 2024.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines From ’showgirls’ to ’performers’: Fine-tuning with gender-inclusive language for bias reduction in llms, 2024

Reference 36

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This paper cites Air: Adaptive incremental embedding updating for dynamic knowledge graphs.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Air: Adaptive incremental embedding updating for dynamic knowledge graphs

Reference 37

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This paper cites Knowledge graph embedding: A survey from the perspective of representation spaces.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Knowledge graph embedding: A survey from the perspective of representation spaces

Reference 38

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This paper cites Making large language models perform better in knowledge graph completion.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Making large language models perform better in knowledge graph completion

Reference 39

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This paper cites Glam: Fine- tuning large language models for domain knowledge graph alignment via neighborhood partitioning and generative subgraph encoding.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Glam: Fine- tuning large language models for domain knowledge graph alignment via neighborhood partitioning and generative subgraph encoding

Reference 40

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This paper cites A comprehensive survey on automatic knowledge graph construction.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines A comprehensive survey on automatic knowledge graph construction

Reference 41

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This paper cites Fairrag: Fair human generation via fair retrieval augmentation.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Fairrag: Fair human generation via fair retrieval augmentation

Reference 42

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Observation 4fef51c7-e1d4-45d2-aa00-7f66ab942a95 · outbound

This paper cites The eu artificial intelligence act “up-to-date developments and analyses of the eu ai act, 2024.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines The eu artificial intelligence act “up-to-date developments and analyses of the eu ai act, 2024

Reference 43

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Reflexion: Language agents with verbal reinforcement learning

Reference 44

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This paper cites Fairness in Agentic AI: A Unified Framework for Ethical and Equitable Multi-Agent System.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Fairness in Agentic AI: A Unified Framework for Ethical and Equitable Multi-Agent System

Reference 45

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Unresolved cited work

Reference 46

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FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Igniting language intelligence: The hitchhiker’s guide from chain-of-thought reasoning to language agents

Reference 47

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This paper cites Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization

Reference 48

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Observation a9db8c15-0d5b-4a4b-b07a-053710f948b4 · outbound

This paper cites Learning to communicate using a communication critic and counterfactual reasoning.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Learning to communicate using a communication critic and counterfactual reasoning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:54.241369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ba0526b9-61a1-4015-bf7c-519a6aafea28 · outbound

This paper cites AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:00:54.101260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 53620acb-f7a8-437b-b772-546843ce8162 · outbound

This paper cites Akbar, A.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Akbar, A

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:54.225732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d35cb7c3-9a83-411c-a8d3-30d13e2f3ab9 · outbound

This paper cites Human-in- the-loop machine learning: Reconceptualizing the role of the user in interactive approaches.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Human-in- the-loop machine learning: Reconceptualizing the role of the user in interactive approaches

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:54.213314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 593a0e15-5329-458a-8067-a7944e90e5b6 · outbound

This paper cites Symphony: Composing interactive interfaces for machine learning.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Symphony: Composing interactive interfaces for machine learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:54.192836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a18eab6-da85-4538-ae08-875697479508 · outbound

This paper cites Human-in-the-loop machine learning: a state of the art.Artificial Intelligence Review, 56(4):3005– 3054, 2023.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Human-in-the-loop machine learning: a state of the art.Artificial Intelligence Review, 56(4):3005– 3054, 2023

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:00:54.061577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f5da340-682f-4c71-8d6c-04228e2ddf87 · outbound

This paper cites Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T05:00:54.063654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab4d30a6-a521-4006-8d31-acbbd0dc509b · outbound

This paper cites Intelligent agents in ai really can work alone.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines Intelligent agents in ai really can work alone

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:54.174608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c4b4320-abef-4b0a-ba66-43d9762b8b91 · outbound

This paper cites The state of algorithmic fairness in mobile human-computer interaction.

FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines The state of algorithmic fairness in mobile human-computer interaction

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:00:54.159142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers