Paper Citation Record · LEDGER

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2507.18949.

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

pith.paper-citation-record.v1
2507.18949 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:07:37.274584Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:19:28.432164Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:31:24.625388Z

Reference resolution

36 of 36 outbound references displayed

verified exact15
verified fuzzy7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 683ced7c-4050-4d8d-90db-47265c599f49 · outbound

This paper cites Language Models are Few-Shot Learners.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Language Models are Few-Shot Learners

Reference 1

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Source-reported events for the cited work

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Observation 0d194218-d37a-46da-a9f0-03d46430da9a · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics PaLM: Scaling Language Modeling with Pathways

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:36.916459Z

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Observation 85681a3a-e73f-4ae2-9949-546aa461d3dc · outbound

This paper cites Training language models to follow instructions with human feedback.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Training language models to follow instructions with human feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:36.924430Z

Source-reported events for the cited work

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Observation 4584fd6b-59d5-4e07-9109-e4023af19c87 · outbound

This paper cites Symbiotic Control of Uncertain Dynamical Systems: Harnessing Synergy Between Fixed-Gain Control and Adaptive Learning Architectures.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Symbiotic Control of Uncertain Dynamical Systems: Harnessing Synergy Between Fixed-Gain Control and Adaptive Learning Architectures

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:36.943699Z

Source-reported events for the cited work

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Observation 16abfe1b-c20e-4b47-b32a-2776e102b563 · outbound

This paper cites Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:38.487221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8f27b8da-6e41-4f06-b97b-4266524e9735 · outbound

This paper cites Analysis of collective response reveals that covid-19-related activities start from the end of 2019 in mainland china,.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Analysis of collective response reveals that covid-19-related activities start from the end of 2019 in mainland china,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:38.879750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 65005d5c-c672-4d9b-b733-32d70c5a43cc · outbound

This paper cites ALPACA -- Adaptive Learning Pipeline for Comprehensive AI.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics ALPACA -- Adaptive Learning Pipeline for Comprehensive AI

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:38.442382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1bdd310-d3fb-4987-ae18-d5bde35453e8 · outbound

This paper cites TrainerAgent: Customizable and Efficient Model Training through LLM-Powered Multi-Agent System.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics TrainerAgent: Customizable and Efficient Model Training through LLM-Powered Multi-Agent System

Reference 8

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Source-reported events for the cited work

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Observation 114624c2-5164-4604-aaaf-f8293fedf5e9 · outbound

This paper cites Assessing Personalized AI Mentoring with Large Language Models in the Computing Field.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Assessing Personalized AI Mentoring with Large Language Models in the Computing Field

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:38.366286Z

Source-reported events for the cited work

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Observation bc1d2dda-d189-4717-8261-bc5cbce69bbd · outbound

This paper cites PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of Pathology.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of Pathology

Reference 10

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Source-reported events for the cited work

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Observation 845a30fe-d28b-4598-b6dc-0f29f4b300ca · outbound

This paper cites Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:38.289030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4adf76cf-b3ba-44df-96e0-ecfc6b44c298 · outbound

This paper cites Selective prompting tuning for personalized conversations with llms,.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Selective prompting tuning for personalized conversations with llms,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:38.844663Z

Source-reported events for the cited work

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Observation 322bdf2c-81e5-4685-8db1-d161aabf065c · outbound

This paper cites Student data paradox and curious case of single student-tutor model: Regressive side effects of training llms for personalized learning,.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Student data paradox and curious case of single student-tutor model: Regressive side effects of training llms for personalized learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:38.806614Z

Source-reported events for the cited work

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Observation d744b72b-1d43-4fce-aa46-081f49d8e907 · outbound

This paper cites APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics APRICOT: Active Preference Learning and Constraint-Aware Task Planning with LLMs

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:38.252142Z

Source-reported events for the cited work

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Observation c74bcd06-76cc-4807-b7ff-8cc43a838e73 · outbound

This paper cites Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs

Reference 15

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Source-reported events for the cited work

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Observation ca1ba17f-e8f0-40a6-9bd8-fe39059bd0b6 · outbound

This paper cites Curriculum reinforcement learning for quantum architecture search under hardware errors.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Curriculum reinforcement learning for quantum architecture search under hardware errors

Reference 16

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Source-reported events for the cited work

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Observation 0e0aad72-7b5e-4ae4-b181-3f4bed02be9f · outbound

This paper cites Physics-informed neural networks with curriculum training for poroelastic flow and deformation processes.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Physics-informed neural networks with curriculum training for poroelastic flow and deformation processes

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:38.123135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 36ed72a9-1d5e-4824-aa8a-568f5f878aab · outbound

This paper cites Curriculum-enhanced groupdro: Challenging the norm of avoiding curriculum learning in subpopulation shift setups,.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Curriculum-enhanced groupdro: Challenging the norm of avoiding curriculum learning in subpopulation shift setups,

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:07:38.082608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03258918-de4f-4c6d-970a-700ec9dc69e1 · outbound

This paper cites Clutr: Curriculum learning via unsupervised task representation learning,.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Clutr: Curriculum learning via unsupervised task representation learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:38.766342Z

Source-reported events for the cited work

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Observation 4a624476-dae0-4b3c-8241-ff76f3b5b4d0 · outbound

This paper cites Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:37.969235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9ffef5ed-b5c1-46d9-9f71-740b96c569e2 · outbound

This paper cites Efficient aircraft design optimization using multi-fidelity models and multi-fidelity physics informed neural networks,.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Efficient aircraft design optimization using multi-fidelity models and multi-fidelity physics informed neural networks,

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-15T18:07:37.924650Z

Source-reported events for the cited work

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Observation 74c8c6c9-2adc-4b79-9fbf-5f7e364bef4b · outbound

This paper cites Learning Analytics in Higher Education -- Exploring Students and Teachers Expectations in Germany.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Learning Analytics in Higher Education -- Exploring Students and Teachers Expectations in Germany

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:37.776337Z

Source-reported events for the cited work

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Observation 98868884-357a-449c-9c78-efdc5a0cec4e · outbound

This paper cites Towards an Operational Responsible AI Framework for Learning Analytics in Higher Education.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Towards an Operational Responsible AI Framework for Learning Analytics in Higher Education

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:37.733220Z

Source-reported events for the cited work

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Observation 6e07cc9f-1ecc-41bd-8a72-2b921fdf4011 · outbound

This paper cites Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:37.685677Z

Source-reported events for the cited work

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Observation 33242c41-975c-458f-9d23-c9829fbb12fc · outbound

This paper cites Indexing Analytics to Instances: How Integrating a Dashboard can Support Design Education.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Indexing Analytics to Instances: How Integrating a Dashboard can Support Design Education

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:37.641971Z

Source-reported events for the cited work

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Observation 7ea5f071-c5c7-4912-943b-728dc1da88b9 · outbound

This paper cites ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale

Reference 26

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Observation ec4171f1-46f0-444b-8d5f-bd556ea92419 · outbound

This paper cites LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:37.165362Z

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Observation 2e9b6d28-801b-4adb-8c66-2e88e34f86f3 · outbound

This paper cites Transformers for low-resource languages: Is f ´eidir linn!.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Transformers for low-resource languages: Is f ´eidir linn!

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:38.735937Z

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Observation 21be25d9-5954-4ff3-8637-32cd243b08c2 · outbound

This paper cites MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge

Reference 29

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This paper cites Families in wild multimedia: A multimodal database for recognizing kinship,.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Families in wild multimedia: A multimodal database for recognizing kinship,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:38.696025Z

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Observation d8c9c39a-1f17-4d20-8882-ddb30fac9f43 · outbound

This paper cites Aligning AI With Shared Human Values.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Aligning AI With Shared Human Values

Reference 31

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Observation d34f1dcd-6a86-40b3-986d-55ac1a496536 · outbound

This paper cites Driving in the matrix: Can virtual worlds replace human- generated annotations for real world tasks?.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Driving in the matrix: Can virtual worlds replace human- generated annotations for real world tasks?

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:38.665356Z

Source-reported events for the cited work

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Observation 9f52d332-b94b-4f5d-8a35-998cf2ed22a7 · outbound

This paper cites Deep Transfer Learning with Joint Adaptation Networks.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Deep Transfer Learning with Joint Adaptation Networks

Reference 33

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Observation 6c1f8a1a-cb2d-4614-8b3b-b99f08c78052 · outbound

This paper cites Learning-Based One-Bit Maximum Likelihood Detection for Massive MIMO Systems: Dithering-Aided Adaptive Approach.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Learning-Based One-Bit Maximum Likelihood Detection for Massive MIMO Systems: Dithering-Aided Adaptive Approach

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:37.429336Z

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Observation 895329e6-d8ee-405d-b348-74b3b7c7089d · outbound

This paper cites Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:37.265063Z

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Observation 16894959-bd00-4843-9423-daba22386cef · outbound

This paper cites Adaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systems.

Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics Adaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systems

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:37.363215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 07635272-c42b-4d3e-a9dd-046388d1f307 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics

Reference 196

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:31:24.627822Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 153c83d5-ecc9-4409-aa88-4a5a8fcf26c7 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics

Reference 196

Resolution: unresolved; no resolver link, observed 2026-08-03T18:19:28.432164Z

Source-reported events for the cited work

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