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Paper Citation Record · LEDGER

User Modeling in the Era of Large Language Models: Current Research and Future Directions

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2312.11518.

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

pith.paper-citation-record.v1
2312.11518 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 2026-08-15T22:51:32.124058Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:13:44.904127Z

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 a2748fc1-1c2f-41de-8c3b-8e0337a42499 · inbound

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

AI PERSONA: Towards Life-long Personalization of LLMs User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T13:31:41.366802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:31:41.366802Z digest=sha256:61b4f567bb391f7b0e21fbe384a00f1033d4a3fec9fc5c2453b84edde636a72a

Observation eb2f4f41-306d-4b2c-b631-b8d09a1b26af · inbound

A Survey on Large Language Model Acceleration based on KV Cache Management cites this paper.

A Survey on Large Language Model Acceleration based on KV Cache Management User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T00:38:46.257037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:38:46.257037Z digest=sha256:2e499e198895f09c0b342f940a1aaee96ce8b465a300065de6505a1a7b3660aa

Observation 1df7845c-4cd9-417e-b2ac-36b99c5df6e6 · inbound

VicSim: Enhancing Victim Simulation with Emotional and Linguistic Fidelity cites this paper.

VicSim: Enhancing Victim Simulation with Emotional and Linguistic Fidelity User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T21:58:31.847491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:58:31.847491Z digest=sha256:9e25d483fbde1e89816348639f8499e59858407c32135bf6d49f6615e8ab04aa

Observation 643dd8b2-3030-44fb-9fd9-35ec4bb1ca70 · inbound

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

Can Large Language Models Understand Preferences in Personalized Recommendation? User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T16:17:33.739881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:17:33.739881Z digest=sha256:322041f735882d1bd203b6dd3fdb88dddc16724a360c99b01cbe39b638c1a8a9

Observation ad48e4b7-26ac-49d7-a338-13bddbc05397 · 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 in the Era of Large Language Models: Current Research and Future Directions

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.124058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.124058Z digest=sha256:5a8307f7cce05354672127e92b211198e7b19bed9d17892a5bd0710f944247ea

Observation 86482e32-182e-412a-8fd6-4404ac3eea6d · inbound

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis cites this paper.

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T21:35:40.293494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:35:40.293494Z digest=sha256:126566c464be21c8b83aac038fcca6340b75521601a671e765cbd1d21bb201a9

Observation 94d2d596-b9ed-4287-b092-b027251f8f92 · 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 in the Era of Large Language Models: Current Research and Future Directions

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:16.591200Z

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.

source=pdf_text observed=2026-05-19T09:28:32.185398Z digest=sha256:a61741c0b0d35c5c648b9656a53c2d61463b9828c90e9154c8ae3c7eeaf4c3e2

Observation 7bdf8faf-4cd0-42c0-a1b0-dbfbb3010824 · inbound

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

PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:47.082342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:47.082342Z digest=sha256:a6123836550c432bf9c6dccef2e56ac7e5ccf03dd44b91bee526b5470d85b026

Observation 208bb3ae-8de2-4c03-aef5-ef5e02517662 · inbound

ProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users cites this paper.

ProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T00:30:02.115532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:30:02.115532Z digest=sha256:a0c1b72fdf22311138d097888c15d6c288fce9cb6726bd022bbca87349e8cf7d

Observation a7c3fa15-5ced-4b3b-86cf-b4b20b5e7e69 · inbound

Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics cites this paper.

Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T16:51:37.136171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:51:37.136171Z digest=sha256:160c9938f58d0534b29ffb3fd6cf04efc7bb5e6730e8c2ed448604ba31c48197

Observation 28e1335e-ed86-4fb9-a87b-749640803cb2 · inbound

Matching Game Preferences Through Dialogical Large Language Models: A Perspective cites this paper.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T13:54:26.796181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:54:26.796181Z digest=sha256:1318ef372a60a8f6a09cd8c94f0aeff7a57130a67759d853d1669babf1b2b457

Observation 57628492-36c0-43a9-9dcc-32843210dff1 · inbound

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

StaffPro: an LLM Agent for Joint Staffing and Profiling User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T12:39:25.891539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:39:25.891539Z digest=sha256:0aaaa447915002405f29af66b587479634779235c703052711d0e96fe23c80e4

Observation 70f116bd-586e-4db7-a32b-7c0b10b5b7d5 · inbound

PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? cites this paper.

PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T18:31:30.849946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:31:30.849946Z digest=sha256:744806fd0eab1961432a10958d3a0d682af18fb759ee3dcfbfa3db6b6a76b1d9

Observation 5056c1d5-2839-4e5e-8260-781130acc297 · inbound

Cyberbullying Governance on Social Media: A Unified Framework from Content Identification to Intervention cites this paper.

Cyberbullying Governance on Social Media: A Unified Framework from Content Identification to Intervention User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 184

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:13:44.905454Z

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.

source=pdf_text observed=2026-06-29T17:05:30.141119Z digest=sha256:a4fe03cc01fc4eb47a91ebd2fecd1ac639373fe1f62668ba7dcee79e9b6f0fb1