Paper Citation Record · LEDGER

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 4 inbound Pith citation observations for arXiv:2505.19997.

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

pith.paper-citation-record.v1
2505.19997 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:08:10.697696Z

measured 19 of 19 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:35:45.979750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:41:24.117415Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy7
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a17f0ba-d735-451c-a5cb-c36dcd22e197 · outbound

This paper cites The ability to code is a prerequisite of software development.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents The ability to code is a prerequisite of software development

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:08:12.044230Z

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.

Observation ea66a74f-531b-4e5f-bccd-2d916d877e01 · outbound

This paper cites Large Language Models for Education: A Survey.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents Large Language Models for Education: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:08:09.721786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcb52e0d-b0f6-4b59-985e-51745551032a · outbound

This paper cites an unresolved cited work.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:08:09.824411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5345e208-6ff9-4a7c-b921-ebfde54bc65f · outbound

This paper cites an unresolved cited work.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:08:12.261612Z

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.

Observation 8124722d-aa9b-4af3-bb7e-0bee9b645c67 · outbound

This paper cites Directly output your code.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents Directly output your code

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:08:11.867218Z

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.

Observation 5c007af2-1cef-482c-b8e0-dfa00414c9ab · outbound

This paper cites Even when selecting past records ran- domly or using text similarity retrieval, prediction accuracy remains low.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents Even when selecting past records ran- domly or using text similarity retrieval, prediction accuracy remains low

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:08:11.663824Z

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.

Observation 44110c08-d929-4611-803c-634da9dbd60a · outbound

This paper cites an unresolved cited work.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:08:11.466953Z

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.

Observation 6d92cc34-5b28-49e9-a5ce-586e524c829b · outbound

This paper cites an unresolved cited work.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:08:11.259705Z

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.

Observation b56b328e-3549-4b4c-8cbe-d17ee8b48573 · outbound

This paper cites KT models rely on implicit parametric knowledge representations and problem indices without incorporating task- specific textual inputs (e.g., problem statements).

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents KT models rely on implicit parametric knowledge representations and problem indices without incorporating task- specific textual inputs (e.g., problem statements)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:08:11.053279Z

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.

Observation 07801397-a890-4ae1-93a8-055e37c3f834 · outbound

This paper cites The Llama 3 Herd of Models.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents The Llama 3 Herd of Models

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-07T14:08:09.432309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de261b38-52d9-4d94-b087-5937bb7b76a8 · outbound

This paper cites LLM-based Cognitive Models of Students with Misconceptions.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents LLM-based Cognitive Models of Students with Misconceptions

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T14:08:09.547225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3ab05e6-634e-454b-9aa3-bac47376abe9 · outbound

This paper cites In International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, volume 202 of Proceedings of Machine Learn- ing Research, pages 337–371.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents In International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, volume 202 of Proceedings of Machine Learn- ing Research, pages 337–371

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:08:12.876829Z

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.

Observation 562b797c-8f13-438d-bcde-0e2872195c49 · outbound

This paper cites AlphaMath Almost Zero: Process Supervision without Process.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents AlphaMath Almost Zero: Process Supervision without Process

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T14:08:09.356293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 374d9414-964f-4430-a1be-632ab21fbc87 · outbound

This paper cites In this appendix, we present the following con- tent: A Dataset Statistics and Details 14 A.1 Privacy Protection.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents In this appendix, we present the following con- tent: A Dataset Statistics and Details 14 A.1 Privacy Protection

Reference 2645

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:08:12.473369Z

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.

Observation 47191baa-e33c-428b-b5be-d37dfae4ce21 · outbound

This paper cites Ye Wang, Wang Lin, Shengyu Zhang, Tao Jin, Linjun Li, Xize Cheng, and Zhou Zhao.

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents Ye Wang, Wang Lin, Shengyu Zhang, Tao Jin, Linjun Li, Xize Cheng, and Zhou Zhao

Reference 3571

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:08:12.716573Z

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.

Pith citing papers

Observation a2d93f53-04f6-4d55-a06a-6dbdfc912e08 · inbound

Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing cites this paper.

Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T23:35:45.979750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbffa9f9-d664-407a-b142-d39e4a1723c3 · inbound

ArguMath: AI-Simulated Environment for Pre-Service Teacher Training in Orchestrating Classroom Mathematics Argumentation cites this paper.

ArguMath: AI-Simulated Environment for Pre-Service Teacher Training in Orchestrating Classroom Mathematics Argumentation Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:46:15.115946Z

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.

Observation 2372778b-21d6-4e48-a386-1ea3beae10f4 · inbound

CustomerSim: Benchmarking and Aligning Multimodal Language Models as Retail User Simulators cites this paper.

CustomerSim: Benchmarking and Aligning Multimodal Language Models as Retail User Simulators Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:41:24.120462Z

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.

Observation d0588f9c-37c2-475d-ab69-e57a97a313fa · inbound

CustomerSim: Benchmarking and Aligning Multimodal Language Models as Retail User Simulators cites this paper.

CustomerSim: Benchmarking and Aligning Multimodal Language Models as Retail User Simulators Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T14:37:22.384121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.