LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems | Paper Citation Record

Observation 5663ee1e-ffa6-482e-bf20-46fa897576ea · outbound

This paper cites Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:45:27.739166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f38e9bc-3e0c-470e-b824-2fa0d4311af4 · outbound

This paper cites User-centric conversational recommendation with multi-aspectusermodeling.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems User-centric conversational recommendation with multi-aspectusermodeling

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.204809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 31b85dee-e7f9-43c0-ac4c-341aa97e03b4 · outbound

This paper cites CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:45:27.726473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83291c0d-df94-45d2-9cde-98c86dbda72f · outbound

This paper cites an unresolved cited work.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:45:28.196856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2e806155-6c14-4417-800e-779a600dab15 · outbound

This paper cites State graph reasoning for multimodal conversational recommendation.IEEE Transactions on Multimedia, 25:3113–3124, 2022.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems State graph reasoning for multimodal conversational recommendation.IEEE Transactions on Multimedia, 25:3113–3124, 2022

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.188722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9a5851b1-1e08-49ff-a884-3d6cecc2dad4 · outbound

This paper cites Dbpedia-a crystallization point for the web of data.Journal of web semantics, 7(3):154–165, 2009.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Dbpedia-a crystallization point for the web of data.Journal of web semantics, 7(3):154–165, 2009

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.180648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1ceb277c-8666-4b92-a189-9f873469aa7e · outbound

This paper cites RevCore: Review-augmented Conversational Recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems RevCore: Review-augmented Conversational Recommendation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:24.611891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ffc6f78-2903-4610-b792-3407f831f285 · outbound

This paper cites Towards knowledge-based recom- mender dialog system.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Towards knowledge-based recom- mender dialog system

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.172544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e4a628b6-5882-44f1-af08-a9d9d9a56c1c · outbound

This paper cites A semantic relation-aware deep neural network model for end-to-end conversa- tional recommendation.Applied Soft Computing, 132:109873, 2023.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems A semantic relation-aware deep neural network model for end-to-end conversa- tional recommendation.Applied Soft Computing, 132:109873, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.164369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a27cbc91-55fa-4796-ba92-e3a3c5cfaee4 · outbound

This paper cites Conceptnet5.5:An open multilingual graph of general knowledge.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Conceptnet5.5:An open multilingual graph of general knowledge

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.156126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7632c5ac-7aab-46eb-b787-69da8684f26f · outbound

This paper cites Recommender system based on noise enhancement and multi-view graph contrastive learning.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Recommender system based on noise enhancement and multi-view graph contrastive learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.148117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 58c08c10-615a-4ace-a4d7-e29e0e422132 · outbound

This paper cites Hycorec: Hypergraph-enhanced multi-preference learning for alleviating matthew effect in conversa- tional recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Hycorec: Hypergraph-enhanced multi-preference learning for alleviating matthew effect in conversa- tional recommendation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.139936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 126748e3-b589-4049-adba-db5123e44f66 · outbound

This paper cites C 2-crs: Coarse-to-fine contrastive learning for conversational recommender system.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems C 2-crs: Coarse-to-fine contrastive learning for conversational recommender system

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.131613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ac110f0-6c1a-4352-82e1-cf8bb2e66701 · outbound

This paper cites Ganaie, and Arshad Iqbal.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Ganaie, and Arshad Iqbal

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.123339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 578ff441-3115-44ba-aac2-62ceaaa62617 · outbound

This paper cites Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:25.578309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d828d14-76b5-4723-a094-1e98fda01323 · outbound

This paper cites Broadening the view: Demonstration-augmented prompt learning for conversational recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Broadening the view: Demonstration-augmented prompt learning for conversational recommendation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.116032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 726f7a11-16e1-48da-bc40-240a740e6da2 · outbound

This paper cites Improving conversational recommender systems via knowledge graph based semantic fusion, 2020.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Improving conversational recommender systems via knowledge graph based semantic fusion, 2020

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.108188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1db85bad-b2ff-494f-99c1-cd2163dadfc4 · outbound

This paper cites To- wards unified conversational recommender systems via knowledge- enhancedpromptlearning.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems To- wards unified conversational recommender systems via knowledge- enhancedpromptlearning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.100519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56c82369-763f-4c7b-a038-1814ff2b9e53 · outbound

This paper cites Fedrl:areinforcementlearningfederatedrecommender system for efficient communication using reinforcement selector and hypernet generator.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Fedrl:areinforcementlearningfederatedrecommender system for efficient communication using reinforcement selector and hypernet generator

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.092396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 80d68880-1934-46a4-b961-161dc0da360c · outbound

This paper cites Federatedrecommendersystembasedondiffusionaugmentation and guided denoising.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Federatedrecommendersystembasedondiffusionaugmentation and guided denoising

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.084228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5a32cf1-9dd8-4283-aabd-c17220ba173a · outbound

This paper cites Personalized consumer federated recommender system using fine-grained transformation and hybrid information sharing.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Personalized consumer federated recommender system using fine-grained transformation and hybrid information sharing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.076467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3dd13718-b3c4-4796-9b8f-fbc51655efe4 · outbound

This paper cites Memocrs: Memory-enhanced se- quential conversational recommender systems with large language models.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Memocrs: Memory-enhanced se- quential conversational recommender systems with large language models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.068532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ebb3f5d-85fc-434f-84b9-c8a1a409a2ec · outbound

This paper cites Adapting user preference to online feedback in multi-round conversational recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Adapting user preference to online feedback in multi-round conversational recommendation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.060588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60f60c54-a65f-4143-8cd5-b8c4a2b20aa8 · outbound

This paper cites Multi-view hypergraph contrastive policy learning for conversational recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Multi-view hypergraph contrastive policy learning for conversational recommendation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.052081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e696b74f-7e6e-4f06-bf40-458d2d83f0c6 · outbound

This paper cites Towardsconversationalrecommendersystems.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Towardsconversationalrecommendersystems

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.043759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ff577c7-2a2d-498d-81b3-de0437879b88 · outbound

This paper cites Elevatingrecommendersystems:Cutting-edgetransferlearn- ing and embedding solutions.Applied Soft Computing, 166:112140, 2024.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Elevatingrecommendersystems:Cutting-edgetransferlearn- ing and embedding solutions.Applied Soft Computing, 166:112140, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.035580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49549bf8-0892-4a6a-b8e6-ffbaf495392b · outbound

This paper cites Social-aware graph contrastive learning for recom- mender systems.Applied Soft Computing, 158:111558, 2024.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Social-aware graph contrastive learning for recom- mender systems.Applied Soft Computing, 158:111558, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.027142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 34bd3fd2-63ab-4967-af6f-b24a31e995d4 · outbound

This paper cites Efficientandflexiblelong-tailrecommendationusingcosinepatterns.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Efficientandflexiblelong-tailrecommendationusingcosinepatterns

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.018959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92813d53-1824-45f9-9120-0a18f8a1b2ba · outbound

This paper cites Man- aging popularity bias in recommender systems with personalized re- ranking.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Man- aging popularity bias in recommender systems with personalized re- ranking

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.010841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e67c51a8-1a08-44a9-ad62-5fca19072d59 · outbound

This paper cites Calibration of recommendations.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Calibration of recommendations

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:28.002436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 21aa3d81-e18c-4be7-9239-d3fcf7c028c5 · outbound

This paper cites User exposure and popularity bias in recommender systems.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems User exposure and popularity bias in recommender systems

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.994264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc173244-0e09-4859-9d9f-6aa678c23200 · outbound

This paper cites Maxwell Harper and Joseph A.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Maxwell Harper and Joseph A

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.977105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a777375b-0c08-43ba-beaa-c1914d4215b0 · outbound

This paper cites Towards deep conversational recommendations.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Towards deep conversational recommendations

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.986073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b0d5c5ba-93ff-4e57-9ef0-207b67932e5b · outbound

This paper cites User linguistic style awareness and interest-driven conversational recommender sys- tems.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems User linguistic style awareness and interest-driven conversational recommender sys- tems

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.969198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e65b3a1-85c3-4ae1-aac1-7a83bd7e805c · outbound

This paper cites Unifiedgenerativesearchandrecommendation,2025.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Unifiedgenerativesearchandrecommendation,2025

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.959506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ce08165e-a264-4ee2-a24e-888e40637d64 · outbound

This paper cites Graph retrieval-augmented llm for conversational recommendation systems, 2025.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Graph retrieval-augmented llm for conversational recommendation systems, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.951560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f04f1b18-0389-4d5b-8ad3-61012836d2e4 · outbound

This paper cites Le, and Lizi Liao.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Le, and Lizi Liao

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.941817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ba3cf5e-0caa-4178-a980-18d96b3e7f04 · outbound

This paper cites Improving aggregate recommendation diversity using ranking-based techniques.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Improving aggregate recommendation diversity using ranking-based techniques

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.932813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 13159a89-6a27-45d1-8b41-40fa3e94679e · outbound

This paper cites Recommendations as treatments: Debi- asing learning and evaluation, 2016.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Recommendations as treatments: Debi- asing learning and evaluation, 2016

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.924231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ab08f03-ddd5-4786-956d-35fb27b64310 · outbound

This paper cites Causal embeddings for rec- ommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Causal embeddings for rec- ommendation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.915616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7987da9e-1bf9-4a9f-9027-09606eb69c88 · outbound

This paper cites ProtoCF: Prototypical collaborative filtering for few-shot recommen- dation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems ProtoCF: Prototypical collaborative filtering for few-shot recommen- dation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.906869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 08599fe2-c0c8-464c-96af-f224447df624 · outbound

This paper cites Preference prototype-aware learning for universal cross-domain recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Preference prototype-aware learning for universal cross-domain recommendation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.898069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 292e5567-65a0-4096-8b25-9bda2576e815 · outbound

This paper cites CL4Rec: Contrastive learning for sequential recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems CL4Rec: Contrastive learning for sequential recommendation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.884156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 859815b7-68aa-4db2-9a49-9844db799dd6 · outbound

This paper cites ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:45:27.698382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc340aae-786b-4094-8e85-2f963e0abeee · outbound

This paper cites Simrec: Graph- less collaborative filtering via knowledge distillation and contrastive learning.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Simrec: Graph- less collaborative filtering via knowledge distillation and contrastive learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.876382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e515cae7-69d8-4aa4-972d-8b9b9f37d1fc · outbound

This paper cites Convoaug:Llm-cognitiondata augmentation for conversational dense retrieval.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Convoaug:Llm-cognitiondata augmentation for conversational dense retrieval

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.867498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6a73e056-6e5d-4b92-adfb-90fa91e16ab1 · outbound

This paper cites Llm-aug: Large-language-model- driven data augmentation for long-tail recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Llm-aug: Large-language-model- driven data augmentation for long-tail recommendation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.859845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a51ada37-f828-4b34-9293-3932d2bd96ec · outbound

This paper cites Asurveyoflong-tailitem recommendation methods.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Asurveyoflong-tailitem recommendation methods

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.852201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a506d315-22c7-4738-b2ce-3dae56fb0805 · outbound

This paper cites Adaptive logit adjustment loss for long-tailed visual recognition.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Adaptive logit adjustment loss for long-tailed visual recognition

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.844456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f24757f-4af1-4117-a96c-2863a91dad7b · outbound

This paper cites Enhancing semantic seg- mentationwithadaptivefocalloss:Anovelapproach.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Enhancing semantic seg- mentationwithadaptivefocalloss:Anovelapproach

Reference 51

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:45:27.687048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5fd6fdd3-e58c-43fc-bf0c-d3983e9fdbae · outbound

This paper cites Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:45:27.623587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 50d0ace7-51d5-47e2-a291-893971ca4729 · outbound

This paper cites Longtail classification through cost-sensitive loss functions.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Longtail classification through cost-sensitive loss functions

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.836561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e80a621e-3690-4aa4-9909-84efec4a4c9a · outbound

This paper cites Distributionally robust loss for long-tailed multi-label image classification.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Distributionally robust loss for long-tailed multi-label image classification

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.827886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 361dcaf0-dbea-4b2c-9ec2-ae0011c6c142 · outbound

This paper cites Adaptivelocationhierarchylearningforlong-tailed mobility prediction.arXiv preprint, arXiv:2505.19965, 2025.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Adaptivelocationhierarchylearningforlong-tailed mobility prediction.arXiv preprint, arXiv:2505.19965, 2025

Reference 55

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:45:27.611116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f2f68ec9-5285-4a5d-aeb7-0518de41d7a5 · outbound

This paper cites INSPIRED: Toward Sociable Recommendation Dialog Systems.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems INSPIRED: Toward Sociable Recommendation Dialog Systems

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:27.441836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ae574f7-b264-4e15-86ed-9d0485940bab · outbound

This paper cites Convolutionalneuralnetworksforsentenceclassification.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Convolutionalneuralnetworksforsentenceclassification

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.818232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84099959-eb18-4ec2-af6a-23a2a76d6e61 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.810323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 73f9a10b-2404-4221-a219-cae90c4ad0b1 · outbound

This paper cites Languagemodelsareunsupervisedmultitasklearners.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Languagemodelsareunsupervisedmultitasklearners

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.801829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cb0e28e6-8c19-48c8-94cc-85003bee3e61 · outbound

This paper cites InProceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 270– 278, 2020.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems InProceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 270– 278, 2020

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.792933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8af0449f-9f8f-4699-a8b4-6080372c66c6 · outbound

This paper cites BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.783964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a73ad9a0-8013-4a43-98a1-d6965568165d · outbound

This paper cites Towards knowledge-based recom- mender dialog system.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Towards knowledge-based recom- mender dialog system

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.774924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3594fb6f-876c-4799-b4b5-a085f32d3c9a · outbound

This paper cites TREA: Tree-structure reasoning schema for conversational recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems TREA: Tree-structure reasoning schema for conversational recommendation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.766333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a219599f-9a6a-4926-9c8b-6679f35af6f3 · outbound

This paper cites In Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM ’23), pages 231–239, Singapore, 2023.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems In Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM ’23), pages 231–239, Singapore, 2023

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.757470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 731f942a-dea7-45c3-be5a-c8f9b07f0306 · outbound

This paper cites Beyond whole dialogue modeling: Contextual dis- entanglement for conversational recommendation.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Beyond whole dialogue modeling: Contextual dis- entanglement for conversational recommendation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:45:27.748120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5586fae4-93d2-4d07-b479-daa3f979c268 · outbound

This paper cites Reimagining Urban Science: Scaling Causal Inference with Large Language Models.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Reimagining Urban Science: Scaling Causal Inference with Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:27.469739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9381441b-1d06-4236-8cf1-9f8fec60894e · outbound

This paper cites an unresolved cited work.

LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Recommender Systems Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:27.405091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers