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Paper Citation Record · LEDGER

Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2310.20081.

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

pith.paper-citation-record.v1
2310.20081 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 2026-08-14T06:32:32.682623+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:20:54.297753Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0256c017-c921-4ad7-9eed-9b6e41a50d9e · inbound

On the Way to LLM Personalization: Learning to Remember User Conversations cites this paper.

On the Way to LLM Personalization: Learning to Remember User Conversations Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 43

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unresolved
no resolver link, observed 2026-08-12T16:32:04.973798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:32:04.973798Z digest=sha256:300690cb40d76a419370c0e9b7b880ca3b411fa1270656e12c695cb72e65d07d

Observation 36c8045d-b4db-4e68-8b23-c218572ad49a · inbound

AI PERSONA: Towards Life-long Personalization of LLMs cites this paper.

AI PERSONA: Towards Life-long Personalization of LLMs Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 24

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no resolver link, observed 2026-08-11T13:31:41.339249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:31:41.339249Z digest=sha256:819721987a7b2de437bc5db1c2183b79c83876f7fa41cce7c2dbfb40f3345879

Observation 60ea5721-3e8d-48c7-87f3-c2b443b11580 · inbound

Personalized Graph-Based Retrieval for Large Language Models cites this paper.

Personalized Graph-Based Retrieval for Large Language Models Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 30

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no resolver link, observed 2026-08-10T22:18:53.140998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:53.140998Z digest=sha256:a4e376449f3f8dccce789c9e9a53f1f69722aa5e719d6e895e96d383a18e6593

Observation eaaa5d0d-50c8-477e-aad2-e522abec2381 · inbound

Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.

Can Large Language Models Understand Preferences in Personalized Recommendation? Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 39

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no resolver link, observed 2026-08-10T16:17:33.703117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:17:33.703117Z digest=sha256:70e4873fc01dda219473fbb6020dbe9427287e8f567fa30a87f5eaf51bc3e1f4

Observation e126e7e4-b85a-4dcf-b5dc-acd853573c7c · inbound

Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation cites this paper.

Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 23

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no resolver link, observed 2026-08-07T14:46:24.388065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:24.388065Z digest=sha256:2f880bbea448987bdb5f388e14b550b54cebf0cfa866d47ea784c50fdf9d1815

Observation 306c3281-835c-4eb2-8abc-75831b60a05f · inbound

Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis cites this paper.

Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 2024

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no resolver link, observed 2026-08-07T11:53:15.516182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:53:15.516182Z digest=sha256:00f315447f45916d60ddec2fe21ca2dec642b40b7f19caa74ea83938174f7e05

Observation 3b7dd0c9-fafe-49c0-ab81-2f9d003578aa · inbound

PersonaAgent: Bridging Memory and Action for Personalized LLM Agents cites this paper.

PersonaAgent: Bridging Memory and Action for Personalized LLM Agents Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 2023

Resolution
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no resolver link, observed 2026-08-07T06:02:16.839811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:16.839811Z digest=sha256:28c15317761ccdb9f110be530678861de8c5a96895b19151d9d992d11f084572

Observation f83332af-f9fb-4ed0-8352-46c1c07a1adc · inbound

PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization cites this paper.

PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 30

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no resolver link, observed 2026-08-07T00:42:46.830983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:46.830983Z digest=sha256:c6bebbdffe73ecab95dfa2ee68c13ea6f0d82eaac6276eb2150f9ef3708f86a6

Observation e18c4942-d4ea-4e6b-b3f6-ccd802a74eec · inbound

Personalised Explanations in Long-term Human-Robot Interactions cites this paper.

Personalised Explanations in Long-term Human-Robot Interactions Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 24

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no resolver link, observed 2026-08-06T20:32:07.002091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:32:07.002091Z digest=sha256:db664f49c6ab5ca01d3bb4d5879ec3ee60c411732c59e87b34c449b525861def

Observation 20af91e6-407d-4d1b-b5ad-08397bbb6a07 · inbound

CLAImate: AI-Enabled Climate Change Communication through Personalized and Localized Narrative Visualizations cites this paper.

CLAImate: AI-Enabled Climate Change Communication through Personalized and Localized Narrative Visualizations Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 23

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no resolver link, observed 2026-08-06T17:09:13.501990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:09:13.501990Z digest=sha256:deb30f2a1190b0a01022900c27189c71cec46210470a10a6e343eb8c46a3fbc4

Observation c39ee594-cebe-4b94-bd2c-658e9c2ec5e5 · inbound

A Survey on Training-free Alignment of Large Language Models cites this paper.

A Survey on Training-free Alignment of Large Language Models Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 67

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no resolver link, observed 2026-08-05T21:18:45.931214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:18:45.931214Z digest=sha256:ec479c0d398e217b9d0f3e454ab1b931b4593161c031a8b6e68494e640b30401

Observation 89024d19-96ca-47a3-8d14-58b591eb0cbb · inbound

Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards cites this paper.

Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 3

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no resolver link, observed 2026-08-05T14:22:39.074409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:22:39.074409Z digest=sha256:cbdba2781fcc6d717cfcf92ba73ee2f2b22225d0fa18a775feda87dca79c0c48

Observation 47692afb-7a27-4a5b-b04d-600073e6a4d1 · inbound

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors cites this paper.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T19:08:30.205453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:08:30.205453Z digest=sha256:b1550f02265f631f614130b7afe0ba59d7a9bea5628dd9fb1ef48fd372ecf892

Observation 3090a876-ba82-42f9-8d5e-edcfc16f6492 · inbound

CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation cites this paper.

CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 6

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verified exact
arxiv_id, observed 2026-05-16T15:28:02.399473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T15:24:38.212981Z digest=sha256:06e257b8d856da3826ea2ce69848f2eb64c7036c5ee6232e0c480afd13d607e0

Observation 2b17daba-b867-43b4-a1d4-9cb7a64821b6 · inbound

Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs cites this paper.

Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 5

Resolution
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no resolver link, observed 2026-08-03T11:31:28.504392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:31:28.504392Z digest=sha256:b74463ccd817bf2e2c3d549f075a2dd5610068e23f9885b2fca2137f0d47f465

Observation 62535f55-6b7e-4879-bbf6-bef85c36dd67 · inbound

Synthetic Interaction Data for Scalable Personalization in Large Language Models cites this paper.

Synthetic Interaction Data for Scalable Personalization in Large Language Models Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 44

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no resolver link, observed 2026-08-02T23:53:04.698069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:53:04.698069Z digest=sha256:19a13d3291d6c0d4849ccc8a1833cd2c5d829d028fddedd1d8a4eb1c30bd35b1

Observation 65ab702d-2b06-4cbf-8951-6dd753364a32 · inbound

TSUBASA: Improving Long-Horizon Personalization via Evolving Memory and Self-Learning with Context Distillation cites this paper.

TSUBASA: Improving Long-Horizon Personalization via Evolving Memory and Self-Learning with Context Distillation Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:50:36.365430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T16:48:53.092395Z digest=sha256:a5f926bc52a9b7751ed89333e92de690593a71176b6a2892712b76b343137099

Observation 0cb9e098-1347-4046-8952-3bd7fc18e1e4 · inbound

Personalizing LLMs with Binary Feedback: A Preference-Corrected Optimization Framework cites this paper.

Personalizing LLMs with Binary Feedback: A Preference-Corrected Optimization Framework Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 5

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metadata mismatch
arxiv_id, observed 2026-05-12T02:41:17.560005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T02:38:55.639568Z digest=sha256:36b4034351eec65213879160180df977805d0a1aa9c6eb95b88121a1c22fc374

Observation a8951cc3-f943-4a96-8ab9-fa16fc55cb27 · inbound

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions cites this paper.

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 25

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metadata mismatch
arxiv_id, observed 2026-06-29T17:13:44.708526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T17:10:02.936605Z digest=sha256:39b17571eecfc58ba2417dfd905b132159b13078d9f72eac7a125241bc744bc1

Observation b5086f4e-590a-4b9a-8f16-fd5992252f3e · inbound

Preference-Aware Rubric Learning for Personalized Evaluation cites this paper.

Preference-Aware Rubric Learning for Personalized Evaluation Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 21

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arxiv_id, observed 2026-07-01T19:36:08.253069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T22:23:32.430191Z digest=sha256:85bd3f1b82201fdcdc4949d98e4e3dfce192d2e8be8b3746353687345711702a

Observation 5c103e5a-cc7e-4dd2-a233-8414391f7f08 · inbound

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization cites this paper.

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 101

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arxiv_id, observed 2026-07-01T22:56:20.483085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T14:51:27.110839Z digest=sha256:b0dac73028bc47bbd002c1c605045e98756b2356459507f7dbff813a4c41b819

Observation 4d03f46c-bc27-462f-904d-46c3194fd7ab · inbound

Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization cites this paper.

Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 110

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verified exact
arxiv_id, observed 2026-07-02T11:16:53.458929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T04:22:31.760823Z digest=sha256:5b0542024f1b863e81ae84b0f1d4a3f898e438bf13b95560c2f1beb82a78279b

Observation c0255970-06f7-4397-8ea7-0e379e4bdfae · inbound

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization cites this paper.

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:28:48.436739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-03T18:20:53.930801Z digest=sha256:f6f54a78d741b02cbaedc82369481a4038fdeede92b9895549474c95a2628f11

Observation 0080ebaf-2183-4f3e-a91a-d1fc8d9f07e1 · inbound

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization cites this paper.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 11

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no resolver link, observed 2026-08-08T20:09:41.797465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:09:41.797465Z digest=sha256:5f5cfdbd3929aef31cfc1162905cf1fbc95e1b320a7074473aff27783552d729

Observation 748e440f-a4c2-4c1b-9fd5-a6bd48e2770e · inbound

Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning cites this paper.

Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 14

Resolution
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no resolver link, observed 2026-08-11T16:11:47.411108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:11:47.411108Z digest=sha256:0704fa957532323df8f5998fa6f5860b3f9693c4832170643f1be504c8d58487

Observation 62c67ef1-a70c-44ee-9e2c-99037d1620dd · inbound

Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning cites this paper.

Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:54.297753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:54.297753Z digest=sha256:7d9f21b2032ed1b98836ac471719476302f665b5f262f85eed89ca87051d205f