Paper Citation Record · LEDGER

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2308.16505.

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

pith.paper-citation-record.v1
2308.16505 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:20.032213Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:09:48.827450Z

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 00c4db8a-02a8-471a-99cc-df7764925967 · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 124

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:03:00.644435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43dd574e-c8d8-49d3-9eff-30a0aab924f3 · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:12:57.688058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b8ad101-9ddf-49e9-bcc8-b813d354a6ec · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:40.011449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 34b6e0d7-2894-4225-a681-4a3c47516e51 · inbound

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation cites this paper.

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T10:20:46.687937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cea09536-9741-49cf-862e-af45ab6980d9 · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 254

Resolution: unresolved; no resolver link, observed 2026-08-11T22:18:34.323352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bc17b03-a4cb-4959-a64c-72f72af03d4f · inbound

The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents cites this paper.

The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:24:26.937799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2c299c4-9ff8-4e0a-92cb-02b9a4c6e0d9 · inbound

Improving GenIR Systems Based on User Feedback cites this paper.

Improving GenIR Systems Based on User Feedback Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.358145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba5949c-98b4-429b-a639-6083d385b07e · inbound

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems cites this paper.

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T19:17:18.942984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bd4ea36-0d11-417a-8a03-351436572a98 · inbound

A Survey on LLM-powered Agents for Recommender Systems cites this paper.

A Survey on LLM-powered Agents for Recommender Systems Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-07T19:39:03.623679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32eff9f6-d54c-4086-a109-3e2dbaee2a1e · inbound

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations cites this paper.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:05:20.853778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5685943e-a00c-433c-a4dc-3612f6f16783 · inbound

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation cites this paper.

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:29:20.032213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6509db79-bdb2-4684-a9f9-56f3a8e958b1 · inbound

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs cites this paper.

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-17T11:05:09.722506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3eefc39d-04c9-4f2f-a3af-24e3759fc6ff · 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 Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 166

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:58.870217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e05fc4b-c028-42c9-a736-2c599e071c89 · inbound

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems cites this paper.

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:10.583453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cdd0e9c-ce75-495d-baf1-3a9120bc8057 · inbound

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models cites this paper.

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:11.828137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3142b187-2d3b-4d93-813f-ddf27c932d0a · inbound

Can Past Experience Accelerate LLM Reasoning? cites this paper.

Can Past Experience Accelerate LLM Reasoning? Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:56.601207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d076fec-46a1-4f14-8f5d-356640c000e9 · inbound

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent cites this paper.

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:03.322498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ecea24d-2c0b-4407-bcc8-2c21ce26a809 · inbound

On Mitigating Data Sparsity in Conversational Recommender Systems cites this paper.

On Mitigating Data Sparsity in Conversational Recommender Systems Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:04.718150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dec9d38d-3e9c-43b3-ba5d-e2697dbed825 · inbound

StaffPro: an LLM Agent for Joint Staffing and Profiling cites this paper.

StaffPro: an LLM Agent for Joint Staffing and Profiling Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:26.151160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece566b7-b43a-4139-8acc-9ca6b24dcebd · 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 AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T18:02:16.840155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e9bb330-2f62-4837-b680-446872fff64c · inbound

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions cites this paper.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 173

Resolution: unresolved; no resolver link, observed 2026-08-05T15:41:00.995258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d67eb7c5-ede2-42c8-97e5-f471d25c9e25 · inbound

Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluation cites this paper.

Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluation Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T11:22:48.100096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 26d1fc32-2214-420e-9651-3cce91a8ec02 · inbound

MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations cites this paper.

MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:10:40.829302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b7b1c492-e09a-4eb1-b975-33cdab3ea73d · inbound

Agentic Recommender System with Hierarchical Belief-State Memory cites this paper.

Agentic Recommender System with Hierarchical Belief-State Memory Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:23:31.893161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ce7bdf4-77c0-4ea8-bd3d-bcf86ccc5b2a · inbound

Agentic Recommender System with Hierarchical Belief-State Memory cites this paper.

Agentic Recommender System with Hierarchical Belief-State Memory Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:32:19.389985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a7e55ef-23d0-4e5c-bed0-367129b18b67 · inbound

Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems cites this paper.

Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:09:48.828892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b63e435d-8f50-4f7a-a18f-4d9d9e5c444e · inbound

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping cites this paper.

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:45:46.921309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0cc87c0d-58b3-440a-a1bc-fb48f2b65f2d · inbound

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping cites this paper.

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:01.990702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f71597fe-86ea-46d8-b771-034a7436c20d · inbound

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity cites this paper.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.048873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.