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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:31:41.366802Z

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=sha256:84ae939b44542537ea52e7108d078de3f78724f7bf6c322b47fe7bbed10dd5d0

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=sha256:77b9c6206d65bf61c5fe700dc0ac79aa347a72cb967d4cb7234d37fa8f9cfc9c

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:b44662361274cccbdc46afb6ee7d68dbe3ae24f70d538908dba1879c9ff92489

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:a57a90af70ab1f982e57d604f9ceffe8c1235fcb6775ebfe2792d8485fb4c3ec

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T09:28:32.185398Z digest=sha256:ab5f9d5b0e0862730b2868342bdf3479fe88a2a7cccb261aedf93a8f6ffc3911

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=sha256:373dd91d103d04161b69ff2703471057e980ed1143f101aa6ffe3017cba6ea80

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=sha256:319f7c942bbfee319e8243dde313589d3698bbb0259c00731db3aa3dd9b37f00

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=sha256:9cc3eebbbca2a998459a40199a5dad38f49697a80a5b2e3460a6b2a269f3c4ac

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=sha256:2f3a95b9b75d77b801262f34ca81fbba8de0ccda98b193bcaf9794de2e40cb99

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=sha256:15386467907e1bdd973831217c9b332ac30b0d8e1e12072eaf301460e98ffa8d

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:a0160d7a687b6099d781bf6c582c2f3dfe38eaa098e40f7479e82c4b88dc6d8a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T17:05:30.141119Z digest=sha256:6333ddac75e90f9762f6d7a2d2e2732d93a48ae4f58d8c3e4e8258e92e56ba48