Paper Citation Record · LEDGER

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2308.08434.

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

pith.paper-citation-record.v1
2308.08434 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:07:58.742937Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T16:18:37.609491Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d2f5d9d8-4879-4e06-a627-0682b4743056 · inbound

Large Language Model Enhanced Recommender Systems: A Survey cites this paper.

Large Language Model Enhanced Recommender Systems: A Survey A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:48.485904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b23620b-4af2-4bb2-9d6f-37f2b3ea2db2 · inbound

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach cites this paper.

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T05:59:18.640271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8674b708-7e2d-4005-a36d-224a17aacc50 · inbound

Revisiting Language Models in Neural News Recommender Systems cites this paper.

Revisiting Language Models in Neural News Recommender Systems A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T18:22:03.743380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e812cf-2e75-4d99-a07c-e07b81f8149f · inbound

Multi-Grained Patch Training for Efficient LLM-based Recommendation cites this paper.

Multi-Grained Patch Training for Efficient LLM-based Recommendation A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T14:41:39.135592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59565860-f3af-4263-9174-17e41599b2a3 · inbound

Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation cites this paper.

Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T13:33:57.516200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc31415-1fe1-46c0-98db-4cd5f57185de · inbound

Large Language Model as Universal Retriever in Industrial-Scale Recommender System cites this paper.

Large Language Model as Universal Retriever in Industrial-Scale Recommender System A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T10:09:47.286828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67e4ca65-3742-4a5d-8382-d248bb2ca759 · inbound

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation cites this paper.

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T22:00:38.214447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d856c7a1-849b-475b-969d-d03bcffc6b4c · inbound

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms cites this paper.

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 143

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:58.742937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1086922e-6857-484a-980f-e15fdc80e45f · inbound

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation cites this paper.

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:00.731897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa5c74d-bef5-4eba-ae6a-f4bb6d8a77ca · inbound

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems cites this paper.

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:20.379270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78fc9f32-ae17-4afe-a54a-91fb3d0b8abd · inbound

GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems cites this paper.

GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:21.667746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 958ecb6c-9c7f-4ccc-9e71-0eaec8316b34 · inbound

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems cites this paper.

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:04:13.878697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e184a21f-c601-403d-b2f2-7ac3bb7f0023 · inbound

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation cites this paper.

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:05:22.595767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98a83cd-3bbf-4c31-a809-afe28dd48033 · inbound

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning cites this paper.

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:05.221986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67dfb98d-8b2a-40d4-9384-fbeef0cac58f · inbound

BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization cites this paper.

BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:59:14.277775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ee0fdb5-60bb-4d7c-9704-ab7c771308bf · inbound

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation cites this paper.

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T11:02:13.293233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db38e47e-7810-4c59-8bf7-8a560f4a23e0 · inbound

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation cites this paper.

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:07.430350Z

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 64ec1865-cc97-4f4b-b4c2-660803e8ffe1 · inbound

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation cites this paper.

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:18:37.610839Z

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 5655b7e2-1fc8-4b57-aa2f-2fd020a0f964 · inbound

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models cites this paper.

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:44.758613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 905a24f5-96b3-4b51-a729-e4a2937b414c · inbound

Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness cites this paper.

Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T00:51:57.405511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 104a7156-719f-42b8-be6e-aa9574128e97 · inbound

Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness cites this paper.

Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T04:43:30.307913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f31fb12-d76a-4585-a3f4-06363794bd8b · inbound

ConnectionMind: Leveraging Social Networks and Large Language Models for Personalized Recommendation at Meta cites this paper.

ConnectionMind: Leveraging Social Networks and Large Language Models for Personalized Recommendation at Meta A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:42.712752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b905fe2-acf3-4036-8ce3-5b0372057594 · inbound

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging cites this paper.

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T14:24:16.975941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.