Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:31:31.923649Z
Paper Citation Record · LEDGER
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?
As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2509.08829.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
48 of 48 outbound references displayed
- verified exact2
- verified fuzzy42
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ef37e5f3-5ee0-444f-b77a-b261d5d4a960 · outbound
This paper cites A personality-aware group rec- ommendation system based on pairwise preferences.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? A personality-aware group rec- ommendation system based on pairwise preferences
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.946115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2092270b-39b1-46b3-a995-96644bf57fee · outbound
This paper cites Information retrieval meets large lan- guage models: a strategic report from chinese ir community.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Information retrieval meets large lan- guage models: a strategic report from chinese ir community
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.932348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 841c428d-d3be-40ca-a2db-ed91b4bb5206 · outbound
This paper cites User percep- tion of fairness-calibrated recommendations.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? User percep- tion of fairness-calibrated recommendations
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.920774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation efaa8cc2-f2cd-4eb6-bfc3-73fecf2f6deb · outbound
This paper cites Tallrec: An effective and efficient tuning framework to align large language model with recom- mendation.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Tallrec: An effective and efficient tuning framework to align large language model with recom- mendation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.909720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f8b9b547-ddae-41e4-8c77-5cb17ad35aae · outbound
This paper cites Fairness in recommendation ranking through pairwise com- parisons.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Fairness in recommendation ranking through pairwise com- parisons
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.888705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9760e580-b7a0-49c8-a608-c8801a895b20 · outbound
This paper cites Multisided Fairness for Recommendation.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Multisided Fairness for Recommendation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:31:28.608994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 833feda1-77cc-425f-81f1-029b2e85313a · outbound
This paper cites A survey on evaluation of large lan- guage models.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? A survey on evaluation of large lan- guage models
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.878203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7e23fbb5-88d4-496d-9fec-a74af3291f52 · outbound
This paper cites Bias and unfairness in information re- trieval systems: New challenges in the llm era.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Bias and unfairness in information re- trieval systems: New challenges in the llm era
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.867037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9ba26a76-f21e-4bb5-8993-3ff54fa32136 · outbound
This paper cites Fairevalllm.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Fairevalllm
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.855728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 678698e2-57d2-4a79-8dd5-91c541118e97 · outbound
This paper cites CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:31:32.342633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 87f4d848-4771-49a3-8da8-07973f510557 · outbound
This paper cites Fairness in rec- ommender systems: research landscape and future direc- tions.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Fairness in rec- ommender systems: research landscape and future direc- tions
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.845452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f83d86ea-da21-4bd9-9cfb-ef070133decf · outbound
This paper cites Fairness in music recommender systems: A stakeholder-centered mini review.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Fairness in music recommender systems: A stakeholder-centered mini review
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.833086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2fdef979-df44-4c04-a0ef-4d9820aaac10 · outbound
This paper cites It’s not you, it’s me: the impact of choice models and ranking strategies on gender imbalance in music recommendation.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? It’s not you, it’s me: the impact of choice models and ranking strategies on gender imbalance in music recommendation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.816217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7c31c876-9765-4c04-a56a-1d267106cabe · outbound
This paper cites Personality and taxonomy preferences, and the in- fluence of category choice on the user experience for music streaming services.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Personality and taxonomy preferences, and the in- fluence of category choice on the user experience for music streaming services
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.805129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 25de2d37-3d71-4e14-ab30-05f58267cadc · outbound
This paper cites Bias and fairness in large language models: A survey.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Bias and fairness in large language models: A survey
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.792692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 724a82cc-ba2f-4126-a6cc-804cab31fee2 · outbound
This paper cites Intelligent news advertise- ment: A prompt learning approach to personalization using large language models.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Intelligent news advertise- ment: A prompt learning approach to personalization using large language models
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.780928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9d08daac-cc03-40d2-93fd-8859edf1b8dd · outbound
This paper cites Personality traits and emotion regulation: A targeted review and recommendations.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Personality traits and emotion regulation: A targeted review and recommendations
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.765436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a39aa431-0ff3-4f46-b728-b1ec4d025280 · outbound
This paper cites Item-side fairness of large language model-based recommendation system.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Item-side fairness of large language model-based recommendation system
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.752957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c233e342-a6ae-4f82-9547-aa8d57efff78 · outbound
This paper cites Psychology-informed recommender systems tutorial.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Psychology-informed recommender systems tutorial
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.740154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7a5e65c7-9a09-4b75-8252-35c5926bb3af · outbound
This paper cites Psychology-informed recommender systems.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Psychology-informed recommender systems
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.728420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c380c612-98a3-461b-a616-4aa333f754b6 · outbound
This paper cites Improving prompt-based news rec- ommendation with individual template and customized an- swer.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Improving prompt-based news rec- ommendation with individual template and customized an- swer
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.716587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a20172ab-3b17-407d-b5ed-69a6bcbdb0d8 · outbound
This paper cites Towards personalized fairness based on causal notion.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Towards personalized fairness based on causal notion
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.705543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a658b2d3-424e-48e2-9e58-9cad444b9af2 · outbound
This paper cites Fairness identifica- tion of large language models in recommendation.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Fairness identifica- tion of large language models in recommendation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.583462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b535f901-fd0d-484a-8c5d-0eb5d575521c · outbound
This paper cites Informa- tion retrieval meets large language models.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Informa- tion retrieval meets large language models
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.375935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 55a879f2-8a08-4593-ae6e-90805f2ab079 · outbound
This paper cites Llm-generated expla- nations for recommender systems.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Llm-generated expla- nations for recommender systems
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.264871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 60b4dd45-0b80-4c51-b514-b19bf1d19a8d · outbound
This paper cites LLM-Rec: Personalized Recommendation via Prompting Large Language Models.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:31:30.219147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1eb8c36-5017-488c-9451-75607f1a5b37 · outbound
This paper cites An introduction to the five-factor model and its applications.Journal of personality, 60(2):175–215, 1992.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? An introduction to the five-factor model and its applications.Journal of personality, 60(2):175–215, 1992
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:36.098782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 27e21611-ddb2-43e5-9dc0-5a92b29096d4 · outbound
This paper cites More or less discrim- ination? practical feasibility of fairness auditing of technolo- gies for personnel selection.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? More or less discrim- ination? practical feasibility of fairness auditing of technolo- gies for personnel selection
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:35.897776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8035bd2e-825e-42bf-9fbb-993d27ea9d20 · outbound
This paper cites Data mining: Concepts and tech- niques.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Data mining: Concepts and tech- niques
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:35.730257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 932fe6b7-27bb-40fd-980a-9a44c089fc95 · outbound
This paper cites Fairlens: Auditing black-box clinical decision support systems.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Fairlens: Auditing black-box clinical decision support systems
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:35.524168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fb0414b3-89a4-48f4-8266-6fe4144c32e6 · outbound
This paper cites Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:31:32.150107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9e7e2e8f-08f1-423c-b6cb-01ee2e008e04 · outbound
This paper cites Navigating the ai frontier: a critical literature review on integrating artificial intelligence into software engineering education.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Navigating the ai frontier: a critical literature review on integrating artificial intelligence into software engineering education
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:35.328856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 153fdd9b-6c7a-41a0-b420-fb91cb76e9f8 · outbound
This paper cites FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:31:30.730221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ed1058c-fbfc-48b5-be62-ccbd6af7c52f · outbound
This paper cites The next big five inventory (bfi-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and pre- dictive power.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? The next big five inventory (bfi-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and pre- dictive power
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:35.166495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 70f116bd-586e-4db7-a32b-7c0b10b5b7d5 · outbound
This paper cites User Modeling in the Era of Large Language Models: Current Research and Future Directions.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? User Modeling in the Era of Large Language Models: Current Research and Future Directions
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:31:30.849946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf01b9e4-7ae1-4430-927c-1d622f27c676 · outbound
This paper cites Progressive layered extraction (ple): A novel multi-task learning (mtl) model for personalized recommendations.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Progressive layered extraction (ple): A novel multi-task learning (mtl) model for personalized recommendations
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:34.990196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fffdff5e-c36f-4a11-aa5e-e0ed62a2fa9a · outbound
This paper cites Fairness matters: A look at llm- generated group recommendations.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Fairness matters: A look at llm- generated group recommendations
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:34.788570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2845b3b9-4273-47fa-ac85-29a591946254 · outbound
This paper cites Counterfactual explanation for fairness in recom- mendation.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Counterfactual explanation for fairness in recom- mendation
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:34.598335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c4a751b3-08a3-49bd-967f-fa51fb57a09e · outbound
This paper cites A survey on the fairness of recommender sys- tems.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? A survey on the fairness of recommender sys- tems
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:34.425585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1b0a7500-ff28-44b7-b9bf-86efd9bff590 · outbound
This paper cites Joint multisided exposure fairness for recommen- dation.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Joint multisided exposure fairness for recommen- dation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:34.175920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ac7a3d08-a201-4390-a0d3-193f469709f3 · outbound
This paper cites Popularity bias in personal- ity perspective: An analysis of how personality traits expose individuals to the unfair recommendation.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Popularity bias in personal- ity perspective: An analysis of how personality traits expose individuals to the unfair recommendation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:33.930131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cbe75257-c474-4ffa-8a92-34745ffb7d68 · outbound
This paper cites Behavior align- ment: a new perspective of evaluating llm-based conversa- tional recommendation systems.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Behavior align- ment: a new perspective of evaluating llm-based conversa- tional recommendation systems
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:33.767442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 037763fa-16d9-4d29-aa05-ec59479c1e2e · outbound
This paper cites Ensuring user-side fairness in dynamic recommender systems.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Ensuring user-side fairness in dynamic recommender systems
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:33.572175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c11f8901-702e-47a1-a9c2-21f6d11adf03 · outbound
This paper cites Where to go next for recommender systems? id-vs.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Where to go next for recommender systems? id-vs
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:33.389256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0b307438-3948-4ce6-b4b3-f8aad3579df6 · outbound
This paper cites Is chatgpt fair for recommenda- tion? evaluating fairness in large language model recom- mendation.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Is chatgpt fair for recommenda- tion? evaluating fairness in large language model recom- mendation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:33.182086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0c0eb06f-ab8d-4ff5-85e7-dd1c475dec3e · outbound
This paper cites Towards empathetic conversa- tional recommender systems.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Towards empathetic conversa- tional recommender systems
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:32.985617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 34f7d2ac-0618-4757-be36-710c17eb9117 · outbound
This paper cites Leveraging opposite gen- der interaction ratio as a path towards fairness in online dat- ing recommendations based on user sexual orientation.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Leveraging opposite gen- der interaction ratio as a path towards fairness in online dat- ing recommendations based on user sexual orientation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:32.798237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b5fe7e88-1110-48de-97fa-1380b44d8709 · outbound
This paper cites Calibrate before use: Improving few-shot perfor- mance of language models.
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Calibrate before use: Improving few-shot perfor- mance of language models
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:31:32.655666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.