Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2308.08434.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:20.379270Z
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 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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.