Paper Citation Record · LEDGER

On Generative Agents in Recommendation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.10108.

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

pith.paper-citation-record.v1
2310.10108 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:20.096749Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:59.221043Z

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 3e0f0d71-ab1b-4d00-8dd9-950b9ba59403 · inbound

LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation cites this paper.

LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation On Generative Agents in Recommendation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T20:45:36.459757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890229ed-f77e-45a9-ab3e-ce05a19c2d77 · inbound

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models cites this paper.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models On Generative Agents in Recommendation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T06:02:36.591496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99d1e171-9709-414a-b2b8-31812701e647 · inbound

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit cites this paper.

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit On Generative Agents in Recommendation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:23.474753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa481aa-06c3-4ae1-923c-50942b04789d · inbound

Improving GenIR Systems Based on User Feedback cites this paper.

Improving GenIR Systems Based on User Feedback On Generative Agents in Recommendation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:25.348979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dd66bd7-389e-43df-98ba-097668b0e103 · 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 On Generative Agents in Recommendation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T19:17:19.483046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c36fe02a-550d-489f-bcf9-13fcd301a648 · 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 On Generative Agents in Recommendation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T12:29:20.096749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d290f38-a1ab-4558-a1e0-0f27918ef920 · 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 On Generative Agents in Recommendation

Reference 158

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:58.824364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c97321c5-c011-498a-a15b-eda505389990 · inbound

Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development cites this paper.

Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development On Generative Agents in Recommendation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:27:35.582894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45a5187e-c701-48e8-b7d1-e89f9cf535f0 · inbound

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration cites this paper.

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration On Generative Agents in Recommendation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:57.926438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 310786b6-01fe-491f-97cc-2b79dc473639 · inbound

CARTS: Collaborative Agents for Recommendation Textual Summarization cites this paper.

CARTS: Collaborative Agents for Recommendation Textual Summarization On Generative Agents in Recommendation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:07:45.772601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e897d37-9bec-4b01-b4ca-f201d52574fe · inbound

PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation cites this paper.

PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation On Generative Agents in Recommendation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:06:59.222466Z

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 de593ded-00a7-4d4f-b9dd-6f54df72182a · inbound

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation cites this paper.

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation On Generative Agents in Recommendation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T20:27:57.590011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.