Generative Representational Learning of Foundation Models for Recommendation | Paper Citation Record

Observation 6c38367e-d50e-47ed-b540-0701b030d3b8 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Generative Representational Learning of Foundation Models for Recommendation On the Opportunities and Risks of Foundation Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:00.509098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3c2c31e-4dcf-47ac-8bfc-d872f5572e39 · outbound

This paper cites Language Models are Few-Shot Learners.

Generative Representational Learning of Foundation Models for Recommendation Language Models are Few-Shot Learners

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:00.610414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e670991-2f03-4988-accc-669acc74dc62 · outbound

This paper cites Deep variational embedding representation on neural collaborative filtering for recommender systems.

Generative Representational Learning of Foundation Models for Recommendation Deep variational embedding representation on neural collaborative filtering for recommender systems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:16.473834Z

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 f31d06d7-0b89-4c17-9f6b-b88de350aad8 · outbound

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

Generative Representational Learning of Foundation Models for Recommendation Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:00.944050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5527a08-6ebb-4953-83c9-107ad27ad21e · outbound

This paper cites an unresolved cited work.

Generative Representational Learning of Foundation Models for Recommendation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:06:16.312400Z

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 0d8cd66f-5ea6-4575-81d1-e2775a0605c1 · outbound

This paper cites Sequence-to-sequence learning for review generation and recommendation.

Generative Representational Learning of Foundation Models for Recommendation Sequence-to-sequence learning for review generation and recommendation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:16.121707Z

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 f784a82e-dbb4-41dc-b17b-d4d79209bbdd · outbound

This paper cites Loramoe: Alleviate world knowledge forgetting in large language models via moe-style plugin, 2024.

Generative Representational Learning of Foundation Models for Recommendation Loramoe: Alleviate world knowledge forgetting in large language models via moe-style plugin, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:15.951855Z

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 fc8ee5fc-33da-4d40-87aa-e1aa3749d131 · outbound

This paper cites Coba: Conver- gence balancer for multitask finetuning of large language models, 2024.

Generative Representational Learning of Foundation Models for Recommendation Coba: Conver- gence balancer for multitask finetuning of large language models, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:15.756315Z

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 ff02c59f-1247-4d24-aba8-d894dab28de6 · outbound

This paper cites The llama 3 herd of models.

Generative Representational Learning of Foundation Models for Recommendation The llama 3 herd of models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:15.573200Z

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 4b44d5e2-6d9e-45ec-b6ec-ead591d83404 · outbound

This paper cites AmazonQA: A Review-Based Question Answering Task.

Generative Representational Learning of Foundation Models for Recommendation AmazonQA: A Review-Based Question Answering Task

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:01.577322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6b98b22-6e72-45ca-9aa4-383341779989 · outbound

This paper cites Maxwell Harper and Joseph A.

Generative Representational Learning of Foundation Models for Recommendation Maxwell Harper and Joseph A

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:15.427814Z

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 98610ee1-b3bb-4555-a2de-edbade718d6d · outbound

This paper cites Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering.

Generative Representational Learning of Foundation Models for Recommendation Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:15.267555Z

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 55dd1ee2-e66e-4b55-9f52-90b6fb19b49f · outbound

This paper cites Session-based recommendations with recurrent neural networks.

Generative Representational Learning of Foundation Models for Recommendation Session-based recommendations with recurrent neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:15.095363Z

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 23537826-49e3-4337-935d-b8636a4dada1 · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

Generative Representational Learning of Foundation Models for Recommendation Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:02.165672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 548f8d1c-7e96-43be-8ade-e82a9db2b414 · outbound

This paper cites Towards universal sequence representation learning for recommender systems.

Generative Representational Learning of Foundation Models for Recommendation Towards universal sequence representation learning for recommender systems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:14.913944Z

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 82ffa8fe-97ce-4c6b-8b22-208895dcdb4d · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Generative Representational Learning of Foundation Models for Recommendation Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:02.449075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfe89aee-5c16-439a-bded-0620bd36f54b · outbound

This paper cites Foundation Models for Recommender Systems: A Survey and New Perspectives.

Generative Representational Learning of Foundation Models for Recommendation Foundation Models for Recommender Systems: A Survey and New Perspectives

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:02.585792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93dd8b86-be05-4687-9c5f-534c787be1c9 · outbound

This paper cites A comprehensive survey on retrieval methods in recommender systems.

Generative Representational Learning of Foundation Models for Recommendation A comprehensive survey on retrieval methods in recommender systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:02.719193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a69fc3-b9f5-4138-ab40-f7c0c32c96b1 · outbound

This paper cites an unresolved cited work.

Generative Representational Learning of Foundation Models for Recommendation Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:02.855269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e9ad27-4003-4519-8562-1f2175a49cb2 · outbound

This paper cites an unresolved cited work.

Generative Representational Learning of Foundation Models for Recommendation Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:02.942366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e098bfc2-2805-4d4e-a5ca-0cf06c3cb5df · outbound

This paper cites Unsupervised tag recommendation for popular and cold products.

Generative Representational Learning of Foundation Models for Recommendation Unsupervised tag recommendation for popular and cold products

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:14.739852Z

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 93f52e2c-36b0-4dee-9f21-73d06d264ae0 · outbound

This paper cites Evaluation of entity resolution approaches on real-world match problems.

Generative Representational Learning of Foundation Models for Recommendation Evaluation of entity resolution approaches on real-world match problems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:14.563590Z

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 71ceaaab-6aa9-4ea9-a3c1-8e92727f3585 · outbound

This paper cites Beyond distillation: Task-level mixture-of-experts for efficient inference, 2021.

Generative Representational Learning of Foundation Models for Recommendation Beyond distillation: Task-level mixture-of-experts for efficient inference, 2021

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:14.363060Z

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 b65de887-38fd-49ca-ba26-57c96340df11 · outbound

This paper cites Supervised Transfer Learning for Product Information Question Answering.

Generative Representational Learning of Foundation Models for Recommendation Supervised Transfer Learning for Product Information Question Answering

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:06:08.959049Z

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 3199bb85-7dde-4a62-879c-476813f054de · outbound

This paper cites UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models.

Generative Representational Learning of Foundation Models for Recommendation UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:06:08.790940Z

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 2a6298a8-7fed-40ed-af9a-f1dfd8723f3d · outbound

This paper cites Ecomgpt: Instruction-tuning large language models with chain-of-task tasks for e-commerce.

Generative Representational Learning of Foundation Models for Recommendation Ecomgpt: Instruction-tuning large language models with chain-of-task tasks for e-commerce

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:14.231969Z

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 b2862fc5-b4ab-49b2-bdb7-b2992fdc16d7 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

Generative Representational Learning of Foundation Models for Recommendation Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:03.747791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91591517-6c9e-4db2-b10d-3eecd288186b · outbound

This paper cites Variational autoencoders for collaborative filtering.

Generative Representational Learning of Foundation Models for Recommendation Variational autoencoders for collaborative filtering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:14.010626Z

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 c7b277b7-b349-4f31-8565-c9c69b3205aa · outbound

This paper cites Clickprompt: Ctr models are strong prompt generators for adapting language models to ctr prediction.

Generative Representational Learning of Foundation Models for Recommendation Clickprompt: Ctr models are strong prompt generators for adapting language models to ctr prediction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:13.824234Z

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 135cb032-19a5-45eb-88c0-503220c26530 · outbound

This paper cites How can recommender systems benefit from large language models: A survey.

Generative Representational Learning of Foundation Models for Recommendation How can recommender systems benefit from large language models: A survey

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:13.613522Z

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 73427eed-f0b5-4c0d-877f-53ccf63e1dba · outbound

This paper cites Rella: Retrieval-enhanced large language models for lifelong sequential behavior comprehension in recommendation.

Generative Representational Learning of Foundation Models for Recommendation Rella: Retrieval-enhanced large language models for lifelong sequential behavior comprehension in recommendation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:13.420668Z

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 cc4e4147-1ca6-4d6d-a72f-9e033ba9c845 · outbound

This paper cites Focal loss for dense object detection.

Generative Representational Learning of Foundation Models for Recommendation Focal loss for dense object detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:13.281905Z

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 f3bc389c-6db7-428f-8b8b-072426563250 · outbound

This paper cites Optimizing Algorithms From Pairwise User Preferences.

Generative Representational Learning of Foundation Models for Recommendation Optimizing Algorithms From Pairwise User Preferences

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T01:06:08.620028Z

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 50780e3a-3914-4e43-b48f-86c309603d5c · outbound

This paper cites Dora: Weight-decomposed low-rank adaptation, 2024.

Generative Representational Learning of Foundation Models for Recommendation Dora: Weight-decomposed low-rank adaptation, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:04.725248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3f60a7-234b-4d10-8f81-31a7c647d87c · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Generative Representational Learning of Foundation Models for Recommendation RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:04.905364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation babb63a0-80e9-4e0e-ad9d-a0e7abe0398b · outbound

This paper cites Embedding in recommender systems: A survey.

Generative Representational Learning of Foundation Models for Recommendation Embedding in recommender systems: A survey

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:05.095151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d93bd96-bc25-4d9d-a724-0c5c81a0b36e · outbound

This paper cites Decoupled Weight Decay Regularization.

Generative Representational Learning of Foundation Models for Recommendation Decoupled Weight Decay Regularization

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:05.234227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e765c5b0-4811-4770-8bd5-380f12ec633e · outbound

This paper cites Moelora: Contrastive learning guided mixture of experts on parameter-efficient fine-tuning for large language models, 2024.

Generative Representational Learning of Foundation Models for Recommendation Moelora: Contrastive learning guided mixture of experts on parameter-efficient fine-tuning for large language models, 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:13.100841Z

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 5e4d8540-5470-4745-a3fd-257063520266 · outbound

This paper cites MuDoCo: Corpus for multidomain coreference resolution and referring expression generation.

Generative Representational Learning of Foundation Models for Recommendation MuDoCo: Corpus for multidomain coreference resolution and referring expression generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:12.861459Z

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 df8f228f-9a4b-4e20-a586-225b4ecc1ef9 · outbound

This paper cites Image-based recommendations on styles and substitutes.

Generative Representational Learning of Foundation Models for Recommendation Image-based recommendations on styles and substitutes

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:05.627786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c68ee4-a881-4c2e-98bc-08d08b3d15f8 · outbound

This paper cites Sfr-embedding-mistral: Enhance text retrieval with transfer learning.

Generative Representational Learning of Foundation Models for Recommendation Sfr-embedding-mistral: Enhance text retrieval with transfer learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:12.707681Z

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 7c95a7f0-9c86-4ee1-9fb7-0cfd66daeccd · outbound

This paper cites Efficient estimation of word representations in vector space.

Generative Representational Learning of Foundation Models for Recommendation Efficient estimation of word representations in vector space

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:12.535743Z

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 e8b00d97-fbd4-4636-a398-10bcea9db6ee · outbound

This paper cites Generative representational instruction tuning, 2025.

Generative Representational Learning of Foundation Models for Recommendation Generative representational instruction tuning, 2025

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:12.302577Z

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 0a436167-9974-4bfe-a249-5c4c0e6d4240 · outbound

This paper cites ecellm: Generalizing large language models for e-commerce from large-scale, high-quality instruction data.

Generative Representational Learning of Foundation Models for Recommendation ecellm: Generalizing large language models for e-commerce from large-scale, high-quality instruction data

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:12.099965Z

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 2da4de2a-fc9c-44f2-b460-cad0c3f8a5ab · outbound

This paper cites an unresolved cited work.

Generative Representational Learning of Foundation Models for Recommendation Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:06.131458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb871728-2eef-4679-bb54-644825d24430 · outbound

This paper cites Deep contextualized word representations.

Generative Representational Learning of Foundation Models for Recommendation Deep contextualized word representations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:06.253046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e899cbd-d7d7-4b14-926b-051020ebc70f · outbound

This paper cites Improving language understanding by generative pre-training.

Generative Representational Learning of Foundation Models for Recommendation Improving language understanding by generative pre-training

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:11.857337Z

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 f55159e0-1151-4f2a-838b-b494d17fc070 · outbound

This paper cites Language models are unsupervised multitask learners.

Generative Representational Learning of Foundation Models for Recommendation Language models are unsupervised multitask learners

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:11.657357Z

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 93e7d3a3-2e01-4b8d-894e-5c3430574275 · outbound

This paper cites Benchmark datasets for entity resolution.

Generative Representational Learning of Foundation Models for Recommendation Benchmark datasets for entity resolution

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:11.423065Z

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 1ea4ca7e-c007-4493-b69c-2f41248b7424 · outbound

This paper cites Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.

Generative Representational Learning of Foundation Models for Recommendation Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:06.555859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e88ce11-c940-4ff3-8195-d7094e2c6faa · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert- networks.

Generative Representational Learning of Foundation Models for Recommendation Sentence-bert: Sentence embeddings using siamese bert- networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:11.191671Z

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 8f592da3-1f57-4dbd-b641-38880c10287d · outbound

This paper cites STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos.

Generative Representational Learning of Foundation Models for Recommendation STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T01:06:08.320768Z

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 50288ca5-d734-43cd-9337-69636639fa15 · outbound

This paper cites Llama-e: Empowering e-commerce authoring with object-interleaved instruction following, 2024.

Generative Representational Learning of Foundation Models for Recommendation Llama-e: Empowering e-commerce authoring with object-interleaved instruction following, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:10.993879Z

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 97f18f4b-7ce3-4118-ad13-6ec39dfafc75 · outbound

This paper cites Quality metrics in recommender systems: Do we calculate metrics consistently? In Proceedings of the 15th ACM conference on recommender systems, pages 708–713, 2021.

Generative Representational Learning of Foundation Models for Recommendation Quality metrics in recommender systems: Do we calculate metrics consistently? In Proceedings of the 15th ACM conference on recommender systems, pages 708–713, 2021

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:10.833300Z

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 74382735-ce29-4a25-9de2-83121adceb87 · outbound

This paper cites Flip: Fine-grained alignment between id-based models and pretrained lan- guage models for ctr prediction.

Generative Representational Learning of Foundation Models for Recommendation Flip: Fine-grained alignment between id-based models and pretrained lan- guage models for ctr prediction

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:10.606871Z

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 0d63375e-f62f-4b15-aad0-1d7332705c70 · outbound

This paper cites Irgan: A minimax game for unifying generative and discriminative information retrieval models.

Generative Representational Learning of Foundation Models for Recommendation Irgan: A minimax game for unifying generative and discriminative information retrieval models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:10.387755Z

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 e2526e76-5cb9-4afe-a0db-c8c8f0ff3e52 · outbound

This paper cites Feature Allocation for Semantic Communication with Space-Time Importance Awareness.

Generative Representational Learning of Foundation Models for Recommendation Feature Allocation for Semantic Communication with Space-Time Importance Awareness

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:06:08.196530Z

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 3811820a-397a-4448-b379-8b394833f764 · outbound

This paper cites Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems.

Generative Representational Learning of Foundation Models for Recommendation Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:07.140116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81c934d6-66a4-498b-9275-e663378efec5 · outbound

This paper cites Towards open-world recommendation with knowledge augmentation from large language models.

Generative Representational Learning of Foundation Models for Recommendation Towards open-world recommendation with knowledge augmentation from large language models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:07.227127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5a7b0a3-e2c4-448e-a5df-e2113647e729 · outbound

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

Generative Representational Learning of Foundation Models for Recommendation Memocrs: Memory-enhanced sequential conversational recommender systems with large language models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:10.163565Z

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 7a1a7591-b512-4e09-a6c1-48488e2c06dd · outbound

This paper cites Efficient and deployable knowledge infusion for open-world recommendations via large language models.

Generative Representational Learning of Foundation Models for Recommendation Efficient and deployable knowledge infusion for open-world recommendations via large language models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:09.948423Z

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 f39d3b09-9562-41bf-8a06-da957b0b0ef8 · outbound

This paper cites Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding.

Generative Representational Learning of Foundation Models for Recommendation Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:07.463756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 024afa39-efe2-4262-8b29-d83a1da8358c · outbound

This paper cites C-pack: Packaged resources to advance general chinese embedding, 2023.

Generative Representational Learning of Foundation Models for Recommendation C-pack: Packaged resources to advance general chinese embedding, 2023

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:07.536436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c360a45-3657-4b97-b2af-dd7de44d74ca · outbound

This paper cites Scaling up open tagging from tens to thousands: Comprehension empowered attribute value extraction from product title.

Generative Representational Learning of Foundation Models for Recommendation Scaling up open tagging from tens to thousands: Comprehension empowered attribute value extraction from product title

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:09.761548Z

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 0ab935ef-3fc2-4465-9f41-e504a35a29ca · outbound

This paper cites Ties-merging: Resolving interference when merging models.

Generative Representational Learning of Foundation Models for Recommendation Ties-merging: Resolving interference when merging models

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:09.583368Z

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 72e3ef43-b157-4299-9136-3545a2c50455 · outbound

This paper cites Qwen2.5 Technical Report.

Generative Representational Learning of Foundation Models for Recommendation Qwen2.5 Technical Report

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:07.775029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f94c2f0-3e02-4a92-ac44-5fb55df84bcb · outbound

This paper cites an unresolved cited work.

Generative Representational Learning of Foundation Models for Recommendation Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:06:09.423304Z

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 9bb57334-911d-4581-8efc-3726bcac68f8 · outbound

This paper cites Llasa: Large language and e-commerce shopping assistant, 2024.

Generative Representational Learning of Foundation Models for Recommendation Llasa: Large language and e-commerce shopping assistant, 2024

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:06:09.245476Z

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 28332ea7-2835-4bef-afc2-3024b0d73407 · outbound

This paper cites A reduction of the $\theta(p_c) = 0$ problem to a conjectured inequality.

Generative Representational Learning of Foundation Models for Recommendation A reduction of the $\theta(p_c) = 0$ problem to a conjectured inequality

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:08.019050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers