Paper Citation Record · LEDGER

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.02689.

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

pith.paper-citation-record.v1
2506.02689 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:22:50.545408Z

measured 47 of 47 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

verified exact2
verified fuzzy13
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d1fed3f-75aa-4821-9061-b60ebb156491 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:46.033529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28fedba7-5497-4d19-8763-6b0be121e2b3 · outbound

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

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Training language models to follow instructions with human feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:46.151951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 962356cc-a183-4575-86eb-b59d00747245 · outbound

This paper cites GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:46.312956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb4bf1e9-3afd-4248-88b7-2ca15501c645 · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:46.466884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adcb19eb-730e-41d9-9ae5-d79e641c3861 · outbound

This paper cites Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:46.612229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbaf1bbe-90ce-489d-ae59-556ee5b32007 · outbound

This paper cites Data augmentation approaches in natural language processing: A survey.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Data augmentation approaches in natural language processing: A survey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:53.400119Z

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.

Observation 42f57ae4-9ef8-4cc1-8649-e8b0719640fd · outbound

This paper cites CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:22:51.021773Z

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.

Observation 2b9ea115-1214-4048-b6e4-1eff698a8c29 · outbound

This paper cites EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:46.958295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa80219d-9474-4f2e-80a4-4fd00a871330 · outbound

This paper cites Text data augmentation for deep learning.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Text data augmentation for deep learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:53.148450Z

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.

Observation c594a4db-1f16-4cef-a529-28df04dc5907 · outbound

This paper cites PGA-SciRE: Harnessing LLM on Data Augmentation for Enhancing Scientific Relation Extraction.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching PGA-SciRE: Harnessing LLM on Data Augmentation for Enhancing Scientific Relation Extraction

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:22:50.904482Z

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.

Observation 3dffb478-fd0a-4e2a-8858-681b9e7af66c · outbound

This paper cites FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:47.365122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd0e0516-9b63-4a72-9704-ae6fe928b469 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:47.463409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f05afde-6965-48b8-a104-5f1f14716bad · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:47.615807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 897b8128-fbd7-49bf-bae4-c0b9dcf8db74 · outbound

This paper cites Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:47.785238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a40ebfc3-af47-4c13-a775-2a8ece62298c · outbound

This paper cites Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:47.932347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b731e59c-d3b0-4160-a853-ac2d5d4fc238 · outbound

This paper cites Investigating the personality consistency in quantized role-playing dialogue agents.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Investigating the personality consistency in quantized role-playing dialogue agents

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:52.972885Z

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.

Observation 7e344559-f7e2-4bf0-90e9-5ffe579f581d · outbound

This paper cites Prospects for multi-agent collaboration and gaming: challenge, technology, and application.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Prospects for multi-agent collaboration and gaming: challenge, technology, and application

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:52.695715Z

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.

Observation c19e6540-1a1d-40d4-b212-3228b2417f2b · outbound

This paper cites Reflective multi-agent collaboration based on large language models.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Reflective multi-agent collaboration based on large language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:52.429425Z

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.

Observation 36f8a441-8ba2-4b79-9923-3e8e7d822f62 · outbound

This paper cites CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:48.254823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b9c940-09f0-4dbe-a87c-03e90286b5fe · outbound

This paper cites Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:48.347733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b4f7d3-f2a8-4ca9-a467-8fd858767b11 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Generative agents: Interactive simulacra of human behavior

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:48.418316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1343ca6-bf32-4c2a-a55f-f6a7b76e9ce2 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Distilling the Knowledge in a Neural Network

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:48.506859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83137d1c-c471-413e-bfcc-0652095b3879 · outbound

This paper cites Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:48.560964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7abc1d3e-fba4-475f-b9f6-63a700bdaec7 · outbound

This paper cites Deep mutual learning.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Deep mutual learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:52.246050Z

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.

Observation 9985bf6f-e1ee-4f6e-95c6-e6830cb8a319 · outbound

This paper cites Similarity-preserving knowledge distillation.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Similarity-preserving knowledge distillation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:52.044347Z

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.

Observation dda2e319-674b-4292-ace7-1b3fd22c3886 · outbound

This paper cites Relational knowledge distillation.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Relational knowledge distillation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:51.831161Z

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.

Observation 4eb23e90-3f8e-42cd-adc7-7cfc542a631b · outbound

This paper cites Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:48.968585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be71457a-1d0c-4386-97c8-bdf6fa390599 · outbound

This paper cites TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching TinyR1-32B-Preview: Boosting Accuracy with Branch-Merge Distillation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:49.054425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b4edb2-fbd4-4594-973e-b9afe72d36b3 · outbound

This paper cites Secondary school students learning from reflections on the rationale behind self-made errors: A field experiment.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Secondary school students learning from reflections on the rationale behind self-made errors: A field experiment

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:51.669622Z

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.

Observation cf411fa7-2474-42c1-a6eb-8aeafa2d0414 · outbound

This paper cites Debate: a teaching-learning strategy for developing competence in communication and critical thinking.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Debate: a teaching-learning strategy for developing competence in communication and critical thinking

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:51.558203Z

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.

Observation 56ad018c-4d31-416f-b522-7dd6ea2a1908 · outbound

This paper cites Schema induction in children’s analogical problem solving.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Schema induction in children’s analogical problem solving

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:51.421476Z

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.

Observation ceb1d4ab-d491-48c6-b3f3-34ef4575c2b9 · outbound

This paper cites Teacher-student interactions for enhanced learning in upper secondary mathematics classroom.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Teacher-student interactions for enhanced learning in upper secondary mathematics classroom

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:51.306009Z

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.

Observation 6dd2d3c9-2ffd-4e64-8bf6-2e58873694b0 · outbound

This paper cites Orca-Math: Unlocking the potential of SLMs in Grade School Math.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Orca-Math: Unlocking the potential of SLMs in Grade School Math

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:49.470143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 759e43fd-2b8b-429d-80cb-4a7d36a387e2 · outbound

This paper cites ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:49.545734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f068c608-02f5-4a2c-811c-2b2875d29fbd · outbound

This paper cites Evaluating Large Language Models Trained on Code.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Evaluating Large Language Models Trained on Code

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:49.628867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63c31e81-7391-48cb-bd33-6b06fb761c56 · outbound

This paper cites Program Synthesis with Large Language Models.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Program Synthesis with Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:49.748432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 190591e7-45ab-4975-859d-73f9070ab99d · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Measuring Mathematical Problem Solving With the MATH Dataset

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:49.842226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f633b2ed-20db-4eb7-961a-012956c36c0f · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Mmlu-pro: A more robust and challenging multi-task language understanding benchmark

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:49.933503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e58b4a7c-1af6-4883-80e2-77114533654f · outbound

This paper cites Measuring Massive Multitask Language Understanding.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Measuring Massive Multitask Language Understanding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:50.005150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1de07506-0d84-4c66-a8a7-fac3df119333 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:50.075785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 832a5dbb-0626-44be-bbf6-5ad55630e5a2 · outbound

This paper cites Crowdsourcing Multiple Choice Science Questions.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Crowdsourcing Multiple Choice Science Questions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:50.163122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a194738e-a5f6-4ab7-bc87-52f0007ec258 · outbound

This paper cites Qwen2.5 Technical Report.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Qwen2.5 Technical Report

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:50.256373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64c75c8-e57f-4d7d-9a95-033d52bbeebe · outbound

This paper cites The Llama 3 Herd of Models.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching The Llama 3 Herd of Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:50.319287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cfd8413-0924-4d51-b070-b584d396a428 · outbound

This paper cites Mistral 7B.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Mistral 7B

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:50.373769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad81725-e6bd-4382-8da6-1227aa654222 · outbound

This paper cites Nlp augmentation.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Nlp augmentation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:22:51.166418Z

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.

Observation 086aa68e-b291-4b1f-a05f-7a34226afa42 · outbound

This paper cites TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:50.488030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bcaf26b-bdac-486f-a506-64f00da1daaa · outbound

This paper cites The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:50.545408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.