Paper Citation Record · LEDGER

SAGER: Self-Evolving User Policy Skills for Recommendation Agent

As of 3 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 2 inbound Pith citation observations for arXiv:2604.14972.

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

pith.paper-citation-record.v1
2604.14972 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T09:54:29.798035Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:28:20.918296Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-14T14:20:33.911884Z

Reference resolution

24 of 24 outbound references displayed

verified exact15
verified fuzzy6
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a677fe9c-4d98-4be6-bd38-85386f789804 · outbound

This paper cites MemRec: Collaborative Memory-Augmented Agentic Recommender System.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent MemRec: Collaborative Memory-Augmented Agentic Recommender System

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-10T09:59:03.233638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cc768012-edcb-4016-a57d-04d5d13d2125 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:10:58.470966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 653be38f-10b3-434e-ac73-6f31fd074678 · outbound

This paper cites Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:59:03.226558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c3cc3d96-e814-4186-b12e-a1e85c56c3da · outbound

This paper cites Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-10T09:59:03.243866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fa0102ef-f9c8-4397-ab01-56ae759da140 · outbound

This paper cites ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-10T09:59:03.252387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0145deff-f45e-49ae-a26b-ac8f454619a6 · outbound

This paper cites Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-10T02:18:52.014567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 52df762a-71d4-4880-9069-cab1237e7c68 · outbound

This paper cites Recnet: Self-evolving preference propagation for agentic recommender systems.arXiv preprint arXiv:2601.21609.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Recnet: Self-evolving preference propagation for agentic recommender systems.arXiv preprint arXiv:2601.21609

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:59:03.212403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3ea7dd03-aba9-4fb9-9824-ddce4dc73307 · outbound

This paper cites Is chatgpt a good recom- mender? a preliminary study.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Is chatgpt a good recom- mender? a preliminary study

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T02:43:20.458823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0174ffe3-8957-4730-926c-57ef0ed8ec7b · outbound

This paper cites Llm-rec: Personalized recommendation via prompting large language models.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Llm-rec: Personalized recommendation via prompting large language models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T02:43:20.454906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b9e85630-cf80-4622-b9ec-ba5dfcb84144 · outbound

This paper cites Justifying recommendations using distantly-labeled reviews and fine-grained aspects.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Justifying recommendations using distantly-labeled reviews and fine-grained aspects

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T02:43:20.451497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 182e7a35-5f68-47b4-a35c-3daebea0301a · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent MemGPT: Towards LLMs as Operating Systems

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:27:29.180148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0676ec73-4890-4f9e-b07e-4808ef73ecf0 · outbound

This paper cites Zep: A Temporal Knowledge Graph Architecture for Agent Memory.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:04:18.088987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 33085426-9b5c-435e-8e85-6c9b12e88522 · outbound

This paper cites Personax: A recommen- dation agent-oriented user modeling framework for long behavior sequence.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Personax: A recommen- dation agent-oriented user modeling framework for long behavior sequence

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T02:43:20.453187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5c3daf54-1ce5-4498-9986-5e6aff2f6d0a · outbound

This paper cites Recbot: Agent-based recommendation system.arXiv preprint arXiv:2509.21317.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Recbot: Agent-based recommendation system.arXiv preprint arXiv:2509.21317

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:59:03.190322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d57b18b7-f6ad-479f-8394-ec87e05e9cae · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:11:41.345971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 71940864-5722-4cd0-bd43-5e19e459914c · outbound

This paper cites Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-24T02:22:58.824734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6d63cedd-6553-4494-91bd-f7b75bba741d · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:59:03.217271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 15d0f3f9-518f-4eca-97d3-1c5368a945fe · outbound

This paper cites Recmind: Large language model powered agent for recommendation.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Recmind: Large language model powered agent for recommendation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T02:43:20.456638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation aa70a0b8-d9f8-4719-aa24-6a272bdc5e65 · outbound

This paper cites Internalizing multi-agent reasoning for accurate and efficient llm-based recommendation.arXiv preprint arXiv:2602.09829.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Internalizing multi-agent reasoning for accurate and efficient llm-based recommendation.arXiv preprint arXiv:2602.09829

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:59:03.208260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ee2e8505-5815-4189-ac02-416c4a91ac60 · outbound

This paper cites SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:39:12.115659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bda952fa-83a5-4495-9cd2-1de7cecfcc96 · outbound

This paper cites Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:39:45.524165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e1b40c59-520a-457d-a84e-472977ba8778 · outbound

This paper cites Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:55:54.660411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9580ba7b-b8fa-4469-be2c-18589d92e6b4 · outbound

This paper cites A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:59:03.181645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b6ba3c67-6cd4-49c6-a5b0-9ec84ae1eb0d · outbound

This paper cites reflection.

SAGER: Self-Evolving User Policy Skills for Recommendation Agent reflection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T02:43:20.449705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation 341a976c-c7bc-4d1a-9d42-4f31cc273d20 · inbound

Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries cites this paper.

Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries SAGER: Self-Evolving User Policy Skills for Recommendation Agent

Reference 39

Resolution: metadata mismatch; local_arxiv, observed 2026-07-14T14:20:33.913650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 07b1f25e-65e0-4aa9-b4ac-36f5f88535a7 · inbound

From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation cites this paper.

From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation SAGER: Self-Evolving User Policy Skills for Recommendation Agent

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T01:28:20.918296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.