Paper Citation Record · LEDGER

Recommender Systems in the Era of Large Language Models (LLMs)

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2307.02046.

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

pith.paper-citation-record.v1
2307.02046 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:00.427732Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:18:37.614220Z

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 88e441cb-862b-457f-a832-a397552a1c0f · inbound

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models cites this paper.

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models Recommender Systems in the Era of Large Language Models (LLMs)

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:37:31.873032Z

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 3b1a3db1-26fc-40f1-9381-680375a6b630 · inbound

CoDec: Prefix-Shared Decoding Kernel for LLMs cites this paper.

CoDec: Prefix-Shared Decoding Kernel for LLMs Recommender Systems in the Era of Large Language Models (LLMs)

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:00.427732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cdb5fa9-176d-4f67-99d3-ab7ad84ea0b1 · inbound

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion cites this paper.

Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion Recommender Systems in the Era of Large Language Models (LLMs)

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T10:38:19.298612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b926d4d6-0aac-4a56-822d-bb3d74b1e123 · inbound

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking cites this paper.

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking Recommender Systems in the Era of Large Language Models (LLMs)

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:13.866889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6979ac4f-cd17-456f-95c7-659b7cff98c8 · 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 Recommender Systems in the Era of Large Language Models (LLMs)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:06.674498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81a7a7a5-354b-4886-8658-859a420c4ad3 · inbound

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

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems Recommender Systems in the Era of Large Language Models (LLMs)

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T14:58:28.796838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9efe23b4-678d-427b-b898-80ecc37f7feb · inbound

Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations cites this paper.

Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations Recommender Systems in the Era of Large Language Models (LLMs)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T13:06:32.347874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f31b0b-2f45-4c83-94c9-82bfadcb1265 · inbound

Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation cites this paper.

Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation Recommender Systems in the Era of Large Language Models (LLMs)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T20:37:17.287316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb424eb8-1223-491e-8c44-a727a51b86ed · inbound

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation cites this paper.

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation Recommender Systems in the Era of Large Language Models (LLMs)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T18:02:16.811242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0672fd7-6dda-4c4b-9728-60078314d14b · inbound

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents cites this paper.

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents Recommender Systems in the Era of Large Language Models (LLMs)

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T11:48:51.987929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fec06b1-6b57-4bf3-a957-33ce8fe77a17 · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations Recommender Systems in the Era of Large Language Models (LLMs)

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:04.874279Z

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 3a3e3502-e510-4022-9a48-9d7f62274ab6 · inbound

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking cites this paper.

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking Recommender Systems in the Era of Large Language Models (LLMs)

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.765127Z

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 e849e001-8a2e-44af-9b41-99c3cb02b831 · 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 Recommender Systems in the Era of Large Language Models (LLMs)

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:18:37.615550Z

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.