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Paper Citation Record · LEDGER

Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:09:41.797465Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 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

Resolution
unresolved
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=sha256:82a4936d0f0341a9255e8cca6839cd02ee16acaae76020315c6e82e6abb23295

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

Resolution
unresolved
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=sha256:6bf133a6114d21921b38ce4bad0824939d9a241f5f5da314f25edecabf8f2c61

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
unresolved
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=sha256:4ca3c7511544315edcd0fd109b99e43fc75b1f07c5aa2e5817e8f2a750e7464c

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

Resolution
unresolved
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=sha256:784ea1a2d1db1614ebc7f1443f6f4f0c6101a84776c35f9bf058322cfbb21687

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

Resolution
unresolved
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:b2858de4cda9a7a867572bfc9dd3ab68ea2d253ba6b2a09541ce14c40187e59e

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

Resolution
unresolved
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=sha256:3e54bcf142589c7f5aec47d5f1dc963a315cfb716211c3e4ebcd92e0ca66213c

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

Resolution
unresolved
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=sha256:82d60d0970e504d42f9c68d2920f6aa59c7bf079c35356a84025856e0ccf33d0

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

Resolution
unresolved
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:f34ecaed49f886ead266c78c9fdc94306b48ee5d47f9f86d7d11c8621572d9c1

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:d81cb19473b2b240fd4e1b438f8e2ecbefec95463edddafc1099ade85402c806

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T15:24:38.212981Z digest=sha256:2d1de21c13f4232ac9e367616d03d76be5bae56456b20616bb54b1a1aab36d83

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
unresolved
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=sha256:53b4ce8262144d92dc00068b43eeaebc68ba70796bab005a5a4387e7a605b238

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

Resolution
unresolved
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=sha256:1a045a9d5b1973b570b878182c34a403d709357243c9bf43f7cab2a794014446

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T16:48:53.092395Z digest=sha256:1c0ed5aad15bf9d60d67a6d12d1306307647ff0a77a4d56d90d8111483bf7d2c

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T02:38:55.639568Z digest=sha256:0d1277af11082b87efd84ed6d21e9a94ec62bf26a606c1680ba6fff9a2b6f015

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T17:10:02.936605Z digest=sha256:78496fd58e0a94ee88e6bf2b34e033396f3f8ad444317953942f79332a650868

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

Resolution
metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T22:23:32.430191Z digest=sha256:e1b2662fcc511ec66ac9e4a4ced77b028b217f87a8a5fecd7a7a02728190b88e

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

Resolution
metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T14:51:27.110839Z digest=sha256:f3735b79da59fa8040bf468a4ad5a81e4fd3ddb7c41612b8af57952168e08b0d

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T04:22:31.760823Z digest=sha256:b2216706c1478456600834f8d0145ae1fecadc8f40642b4b1f88ff6fab9e5450

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T18:20:53.930801Z digest=sha256:133e555c8f58e48081ff8219e817c114a307db577546b359dbba4a4d9a480caf

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

Resolution
unresolved
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:db898f0ccc2cbe751d3da43cd0bee288d674f3cc4bf02bdba38ea1ffaf59b165