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Paper Citation Record · LEDGER

Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.06762.

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

pith.paper-citation-record.v1
2404.06762 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:53:06.351671Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:42:24.388678Z

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 fa8bb965-b276-48bc-beea-c80871310c6e · inbound

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis cites this paper.

Knowledge is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-08T18:53:06.351671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:53:06.351671Z digest=sha256:ed3f510aee85c844d75cd76084c95497978e6e9fb452682355c2b35fb23977ad

Observation befdecb8-4376-4c6f-adac-26af19bbfd4f · inbound

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference cites this paper.

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:42:24.390916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T05:41:58.231139Z digest=sha256:fbfe7dd8b16acaad22f0f5de8f7f2040474a0e32d06c4423db676d265b0805d0