Paper Citation Record · LEDGER

Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2304.03153.

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

pith.paper-citation-record.v1
2304.03153 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:22.790759Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:05:58.517436Z

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 805b74c4-9ef3-40b0-8bf2-d5144ce1c521 · inbound

LLM-based User Profile Management for Recommender System cites this paper.

LLM-based User Profile Management for Recommender System Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:45:19.295438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a1bbb21-dd7d-4058-a6e9-0b6dcf1d65b3 · 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 Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:22.790759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f6d2611-af83-45ae-98c7-c073803d3ac7 · inbound

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders cites this paper.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:25.887996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22bb6633-4a5f-4f0b-aa91-7c53c80a9a6b · inbound

Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards cites this paper.

Evaluating Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:38.677794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2553a390-91cb-4839-916c-b4ea4e20d07a · inbound

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation cites this paper.

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:52.092468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd09a3fb-8d30-458a-9bb0-931eeca85353 · inbound

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation cites this paper.

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:21:39.187521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40ad0be8-bf17-4909-a923-7443566a9c9b · inbound

A Language-Driven Framework for Improving Personalized Recommendations: Merging LLMs with Traditional Algorithms cites this paper.

A Language-Driven Framework for Improving Personalized Recommendations: Merging LLMs with Traditional Algorithms Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:52:26.289460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de443fff-9a3b-4717-881b-ee1aec475fc0 · inbound

Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics cites this paper.

Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:37.293975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c99722a-bdb7-4442-9d3c-c30dd148a1ac · inbound

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation cites this paper.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:23.184884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090ca6b6-9692-49bd-b03a-c1bc25aee85d · inbound

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems cites this paper.

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T14:58:27.339801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3ae7487-3a39-4fe0-bc11-8d83914ad0a8 · inbound

Multimodal Recommendation via Self-Corrective Preference Alignmen cites this paper.

Multimodal Recommendation via Self-Corrective Preference Alignmen Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-05T20:55:36.004205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14abc7c5-826f-4ab0-8d9c-a0115dfeb389 · inbound

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation cites this paper.

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:27:41.392406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0daabd51-5509-4d4e-8188-9ff883d733b7 · inbound

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models cites this paper.

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:27:41.297437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0865206e-d269-4f71-a5a8-5a10a3299d7c · inbound

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models cites this paper.

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:29.285061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2830123a-8be4-424b-9716-75a6c07b2b6a · inbound

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction cites this paper.

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:15:30.131455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7083463-015e-4324-bef8-8ad6d2f4a77f · inbound

SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models cites this paper.

SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 6

Resolution: malformed identifier; arxiv_id, observed 2026-05-16T09:20:47.703891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9461822c-43f5-4649-b8e8-bfd0e1a99952 · inbound

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains cites this paper.

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:18:26.521036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 77029cc5-beaf-4576-8723-d488b07e7c75 · inbound

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains cites this paper.

LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T17:37:38.550722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2366f18-da93-47d6-9c5e-21fbcd48de0e · inbound

RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching cites this paper.

RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:55:56.468058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2cdc3cff-1a43-4d41-a7ac-58fd53a4c9fd · inbound

Efficient LLM-based Advertising via Model Compression and Parallel Verification cites this paper.

Efficient LLM-based Advertising via Model Compression and Parallel Verification Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:47:04.219181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1cf8f2ac-8a20-4f9c-a692-25fbac692c4c · inbound

Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering cites this paper.

Training LLMs with Reinforcement Learning for Intent-Aware Personalized Question Answering Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:57:59.041203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d507f5c8-b78d-4c56-bc44-1ad7c7d7935a · inbound

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking cites this paper.

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:52:52.246128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b75d303b-25c6-4ae8-8a97-7c649da147e4 · inbound

A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation cites this paper.

A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T00:49:19.543154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 603a9eaa-946e-4ead-bf34-59220d400b94 · inbound

An LLM-Powered Semantic Alignment Framework for Journal Recommendation cites this paper.

An LLM-Powered Semantic Alignment Framework for Journal Recommendation Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 84

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:05:58.518818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1dbb9cfc-1bf9-419d-b9a5-7d1f01f2c194 · inbound

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation cites this paper.

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-11T20:29:43.700229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff80f306-874e-407d-8667-2a389767d559 · inbound

Learning Sparse Representations of Multimodal Content for Enhanced Cold Item Recommendation cites this paper.

Learning Sparse Representations of Multimodal Content for Enhanced Cold Item Recommendation Zero-Shot Next-Item Recommendation using Large Pretrained Language Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-01T18:50:10.666979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.