Paper Citation Record · LEDGER

User Modeling and User Profiling: A Comprehensive Survey

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.09660.

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

pith.paper-citation-record.v1
2402.09660 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:51:32.081255Z

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

10
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 2219befe-c202-4bf1-b965-64d4cdf76750 · inbound

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling cites this paper.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling User Modeling and User Profiling: A Comprehensive Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T22:51:32.081255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f589ea3b-7e5d-4206-9486-fe024580055a · inbound

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation cites this paper.

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation User Modeling and User Profiling: A Comprehensive Survey

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:16.585538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b208ab1-1a08-4854-ac4f-cdc6e75cfc4d · inbound

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval cites this paper.

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval User Modeling and User Profiling: A Comprehensive Survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:50.690059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76fc54cb-b6cb-42fb-9a69-f7e773d66a2c · inbound

LettinGo: Explore User Profile Generation for Recommendation System cites this paper.

LettinGo: Explore User Profile Generation for Recommendation System User Modeling and User Profiling: A Comprehensive Survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T18:57:42.340257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92ad16aa-d124-4a54-bc98-86e08487fcbb · inbound

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

StaffPro: an LLM Agent for Joint Staffing and Profiling User Modeling and User Profiling: A Comprehensive Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T12:39:25.562996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d657dfa-82f9-476f-a362-1c8de4b62aae · inbound

SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharing cites this paper.

SPARK: Search Personalization via Agent-Driven Retrieval and Knowledge-sharing User Modeling and User Profiling: A Comprehensive Survey

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T13:31:12.224093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f9fe9c-3c2b-4b9c-b11f-0213c31621a8 · inbound

Ontology-driven personalized information retrieval for XML documents cites this paper.

Ontology-driven personalized information retrieval for XML documents User Modeling and User Profiling: A Comprehensive Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T17:47:43.369366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80c6bf0f-615f-4c45-85cc-eb575fdaf01e · inbound

What Do Humanities Scholars Need? A User Model for Recommendation in Digital Archives cites this paper.

What Do Humanities Scholars Need? A User Model for Recommendation in Digital Archives User Modeling and User Profiling: A Comprehensive Survey

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:13:13.600697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8790babb-33f4-40ce-9b6a-9601efee3e6c · 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 User Modeling and User Profiling: A Comprehensive Survey

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-10T16:50:36.369054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ebfda4bb-551d-4ecb-b836-f8dc3d2a784e · inbound

LLM Agents Enable User-Governed Personalization Beyond Platform Boundaries cites this paper.

LLM Agents Enable User-Governed Personalization Beyond Platform Boundaries User Modeling and User Profiling: A Comprehensive Survey

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T02:41:17.780013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7d27c68-c902-40ec-b0e0-3e8ab35ccc5a · inbound

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

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization User Modeling and User Profiling: A Comprehensive Survey

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:56:20.552721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 555203c9-f48e-44a2-8ad9-cc13af9ac489 · inbound

SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice cites this paper.

SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice User Modeling and User Profiling: A Comprehensive Survey

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T05:46:41.096601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02b0b893-e503-4fb2-9cb7-6ba58676dc07 · inbound

SocialPersona: Benchmarking Personalized Profiling and Response with Multimodal Social-Media Context cites this paper.

SocialPersona: Benchmarking Personalized Profiling and Response with Multimodal Social-Media Context User Modeling and User Profiling: A Comprehensive Survey

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:19:50.888424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 711dde2b-2947-4dfa-9f24-656f260f3cc2 · inbound

Tangent: An Empirical Study of Testing Practices for LLM-Based Agent Applications cites this paper.

Tangent: An Empirical Study of Testing Practices for LLM-Based Agent Applications User Modeling and User Profiling: A Comprehensive Survey

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-14T04:39:16.388131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.