When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration | Paper Citation Record

Observation 23396f94-b902-4df8-a524-0517158e744e · outbound

This paper cites Impact of artificial intelligence on human loss in decision making, laziness and safety in education.Humanities and Social Sciences Communications, 10(1), December 2023.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Impact of artificial intelligence on human loss in decision making, laziness and safety in education.Humanities and Social Sciences Communications, 10(1), December 2023

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This paper cites Program Synthesis with Large Language Models.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Program Synthesis with Large Language Models

Reference 2

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This paper cites Does the whole exceed its parts? the effect of ai explanations on complementary team performance.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Does the whole exceed its parts? the effect of ai explanations on complementary team performance

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This paper cites Measuring Progress on Scalable Oversight for Large Language Models.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Measuring Progress on Scalable Oversight for Large Language Models

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This paper cites Rank analysis of incomplete block designs: I.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Rank analysis of incomplete block designs: I

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This paper cites Evaluating Large Language Models Trained on Code.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Evaluating Large Language Models Trained on Code

Reference 6

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Observation 1910fae1-8371-4cc9-a332-b13b0b30dd3c · outbound

This paper cites Language Models as Science Tutors.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Language Models as Science Tutors

Reference 7

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This paper cites Chatbot arena: An open platform for evaluating llms by human preference.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Chatbot arena: An open platform for evaluating llms by human preference

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This paper cites Training Verifiers to Solve Math Word Problems.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Training Verifiers to Solve Math Word Problems

Reference 9

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This paper cites Ai-enhanced collective intelligence.Patterns, 5(11), 2024.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Ai-enhanced collective intelligence.Patterns, 5(11), 2024

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This paper cites To what extent is ChatGPT useful for language teacher lesson plan creation?.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration To what extent is ChatGPT useful for language teacher lesson plan creation?

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Observation 071f481d-85d7-4fa5-b760-b6d63cf8e41e · outbound

This paper cites Evaluating Human-AI Collaboration: A Review and Methodological Framework.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Evaluating Human-AI Collaboration: A Review and Methodological Framework

Reference 12

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This paper cites Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education

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Observation 9dec5fa2-9b7b-4e4c-94a3-fa573a2f6234 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

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This paper cites Human-ai co-creativity: Exploring synergies across levels of creative collaboration.arXiv preprint arXiv:2411.12527, 2024.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Human-ai co-creativity: Exploring synergies across levels of creative collaboration.arXiv preprint arXiv:2411.12527, 2024

Reference 15

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This paper cites LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction

Reference 16

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This paper cites Measuring Massive Multitask Language Understanding.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Measuring Massive Multitask Language Understanding

Reference 17

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Observation de2d5f0f-cf49-4db2-ab02-94d9bd0a461c · outbound

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

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Measuring Mathematical Problem Solving With the MATH Dataset

Reference 18

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Observation 223baed2-020a-48be-a7d5-d5b89ddb9d3a · outbound

This paper cites We Can't Understand AI Using our Existing Vocabulary.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration We Can't Understand AI Using our Existing Vocabulary

Reference 19

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This paper cites Great expectations and hard times: The paradoxical experience of the engineer as project manager.International Journal of Project Management, 29:374–382, 05 2011.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Great expectations and hard times: The paradoxical experience of the engineer as project manager.International Journal of Project Management, 29:374–382, 05 2011

Reference 20

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This paper cites Is human oversight to ai systems still possible?New Biotechnology, 85:59–62, 2025.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Is human oversight to ai systems still possible?New Biotechnology, 85:59–62, 2025

Reference 21

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This paper cites Monitoring Human Dependence On AI Systems With Reliance Drills.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Monitoring Human Dependence On AI Systems With Reliance Drills

Reference 22

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This paper cites GPT-4o System Card.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration GPT-4o System Card

Reference 23

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Observation 7ccd74f1-df1c-4db4-9362-75eab62fe805 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 24

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When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

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Observation 35c3c39d-0e8e-4d10-8cd8-7b5e61e3513b · outbound

This paper cites Tailoring education with genai: a new horizon in lesson planning.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Tailoring education with genai: a new horizon in lesson planning

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This paper cites Before and beyond trust: reliance in medical ai.Journal of Medical Ethics, 48(11):852–856, 2022.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Before and beyond trust: reliance in medical ai.Journal of Medical Ethics, 48(11):852–856, 2022

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This paper cites Beyond interpretability: developing a language to shape our relationships with ai, Apr 2022.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Beyond interpretability: developing a language to shape our relationships with ai, Apr 2022

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Observation 145a8ad8-10b5-46e0-86c7-3d4fdf99d37b · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Tulu 3: Pushing Frontiers in Open Language Model Post-Training

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This paper cites DeepSeek-V3 Technical Report.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration DeepSeek-V3 Technical Report

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Observation f822498d-5a5e-4aef-a3ce-e9fbc4cff91c · outbound

This paper cites One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction

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When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

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Observation 85c50663-5c9e-4a5d-991f-b741b3a14d90 · outbound

This paper cites How to teach programming in the ai era? using llms as a teachable agent for debugging.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration How to teach programming in the ai era? using llms as a teachable agent for debugging

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Observation 222d0154-0f4c-41d6-91b0-3ed610778871 · outbound

This paper cites Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming

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This paper cites Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors

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This paper cites Human participants in ai research: Ethics and transparency in practice.IEEE Transactions on Technology and Society, 2024.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Human participants in ai research: Ethics and transparency in practice.IEEE Transactions on Technology and Society, 2024

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Observation c8fe8826-6ca7-4d91-9b28-2886602b058c · outbound

This paper cites Fully au- tonomous ai agents should not be developed.arXiv preprint arXiv:2502.02649, 2025.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Fully au- tonomous ai agents should not be developed.arXiv preprint arXiv:2502.02649, 2025

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This paper cites The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration The RealHumanEval: Evaluating Large Language Models' Abilities to Support Programmers

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Observation 78f72850-9e80-40a3-b607-110de1bfef6c · outbound

This paper cites Autotutor meets large language models: A language model tutor with rich pedagogy and guardrails.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Autotutor meets large language models: A language model tutor with rich pedagogy and guardrails

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This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Gpqa: A graduate-level google-proof q&a benchmark

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This paper cites Connecting Feedback to Choice: Understanding Educator Preferences in GenAI vs. Human-Created Lesson Plans in K-12 Education -- A Comparative Analysis.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Connecting Feedback to Choice: Understanding Educator Preferences in GenAI vs. Human-Created Lesson Plans in K-12 Education -- A Comparative Analysis

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Observation a70d15e4-0b35-4e51-8e1f-03f010a09722 · outbound

This paper cites Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero

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Observation 594a7c94-a01a-4e64-9d72-e39a0fb9350f · outbound

This paper cites Collaborative gym: A framework for enabling and evaluating human-agent collaboration.arXiv preprint arXiv:2412.15701, 2024.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Collaborative gym: A framework for enabling and evaluating human-agent collaboration.arXiv preprint arXiv:2412.15701, 2024

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Observation 6c03e8f3-c9fc-4810-ae22-c6361dcd0b62 · outbound

This paper cites Can Language Models Solve Olympiad Programming?.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Can Language Models Solve Olympiad Programming?

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This paper cites Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

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This paper cites BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

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This paper cites Clio: Privacy-Preserving Insights into Real-World AI Use.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Clio: Privacy-Preserving Insights into Real-World AI Use

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This paper cites Scicode: A research coding benchmark curated by scientists.Advances in Neural Information Processing Systems, 37:30624–30650, 2024.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Scicode: A research coding benchmark curated by scientists.Advances in Neural Information Processing Systems, 37:30624–30650, 2024

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This paper cites Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise

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Observation 0ffa0ac9-cdb0-4a50-b5b8-4501218cec24 · outbound

This paper cites Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes

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Observation 3267dae5-23e8-4815-88a4-0bc313ef2aaf · outbound

This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration LiveBench: A Challenging, Contamination-Limited LLM Benchmark

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This paper cites Qwen3 Technical Report.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Qwen3 Technical Report

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This paper cites AI as Extraherics: Fostering Higher-order Thinking Skills in Human-AI Interaction.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration AI as Extraherics: Fostering Higher-order Thinking Skills in Human-AI Interaction

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Observation 5c446ab3-46c2-4e64-aade-57c3f1809b70 · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

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Observation a1d1ea66-6002-4297-9752-4fa3d5d4df93 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.654597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7e34e5a6-bcc3-4d59-98a2-c9a3ba504463 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.613583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 724c165d-38a1-4cd9-82ee-58a064e06e2a · outbound

This paper cites ready to solve.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration ready to solve

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.592682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c8473a65-42c3-4c52-ae5c-8910da1b4006 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.569878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 25136a97-ad1a-49aa-b1b3-09c804bf5597 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.633319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36696920-bd90-4a1e-b49e-09e7b35379a0 · outbound

This paper cites ready to solve.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration ready to solve

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.544651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae00b386-79c2-468b-a522-70170fb072e8 · outbound

This paper cites Alice and Bob are playing a game.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Alice and Bob are playing a game

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.516265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 09804386-fb73-44b2-9f92-caaafa02a091 · outbound

This paper cites You need to choose 4 indices from the array b such that i_0 < i_1 < i_2 < i_3.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration You need to choose 4 indices from the array b such that i_0 < i_1 < i_2 < i_3

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.495179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f489f917-5801-4165-b2a6-6b3434b787b1 · outbound

This paper cites 110". Applying the operation once reduces it to 2 (since.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration 110". Applying the operation once reduces it to 2 (since

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.470261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c14ed3f-c8fd-432f-8e87-ef63be1d1933 · outbound

This paper cites What are the coordinates of its new position?.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration What are the coordinates of its new position?

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.440766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d1bfb57-99b8-41e3-b38d-c9933be777e8 · outbound

This paper cites Then cos(C) can be written as m√p n , where m and n are relatively prime positive integers and p is a positive integer not divisible by the square of any prime.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Then cos(C) can be written as m√p n , where m and n are relatively prime positive integers and p is a positive integer not divisible by the square of any prime

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.419866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5b8bd1f9-4d6c-410b-ab1f-1acd6f8e0023 · outbound

This paper cites The probability that she will roll the die an odd number of times is m n where m and n are relatively prime positive integers.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration The probability that she will roll the die an odd number of times is m n where m and n are relatively prime positive integers

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.396122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f7765193-efad-47f7-afd6-6acbae5bca1c · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.375679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7c32c5b-3225-4a6c-886d-09956a4518e2 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.333214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 04b00c9f-9e16-4917-93aa-12d681daeef6 · outbound

This paper cites 19 Rule Compliance Evaluator System Prompt You are an expert evaluator tasked with determining whether an AI tutor’s response follows the established tutoring guidelines.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration 19 Rule Compliance Evaluator System Prompt You are an expert evaluator tasked with determining whether an AI tutor’s response follows the established tutoring guidelines

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.279488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e982ef6e-3ae8-47c8-a60f-9f6abdd295ce · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.242154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68eefcad-e6a8-4892-acf3-97c2101dcfee · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.221092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7eb7e5f2-1163-4311-91ac-39f98682e484 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.198458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f682af4-933f-4df4-9547-04a5c3470e3a · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.158732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15199563-7f20-4ccf-817c-275700f82ea9 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.133888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e9339d25-4a21-4597-a549-8c2246439744 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.111838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 975f5605-551f-4bce-989d-c4f77fdf1408 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.080459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73b96609-0c25-4466-836b-ea22703e8d1f · outbound

This paper cites ready to solve.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration ready to solve

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:17.048040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76b82f0a-79a1-44b0-bb08-5e0c3b3c3658 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:17.020417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03a5f4d7-f9ea-42d7-9884-1aa8dd60ca5d · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:16.984320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17a8c77f-ddb9-4859-b10b-c11e9373a71d · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:16.959948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d695aeb1-c80b-443e-aa2a-ae6cc5cab6f8 · outbound

This paper cites I understood how the algorithm would work in theory but I didn’t know how to debug my answer. The model’s explanation was clear and easy to follow along with.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration I understood how the algorithm would work in theory but I didn’t know how to debug my answer. The model’s explanation was clear and easy to follow along with

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.934418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ec87d411-bb0d-4763-b38f-e221924715a4 · outbound

This paper cites - The x-coordinates of two opposite corners should be the same as the other pair, and similarly for y-coordinates.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration - The x-coordinates of two opposite corners should be the same as the other pair, and similarly for y-coordinates

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.904582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1ba19ad-4d21-46bd-9f17-5ed7ed31109d · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:16.873696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 41369744-e421-4f24-8b49-5f09a7098dfa · outbound

This paper cites Human:There has to be an easier way than iterating over all combinations of 4 points Model:[Abbreviated] You’re absolutely correct.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Human:There has to be an easier way than iterating over all combinations of 4 points Model:[Abbreviated] You’re absolutely correct

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.850182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 41f3369e-825d-4127-95be-3f8c404ea13e · outbound

This paper cites - If you have two diagonal points (x1, y1)and(x 2, y2), the other two corners must be(x 1, y2)and(x 2, y1).

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration - If you have two diagonal points (x1, y1)and(x 2, y2), the other two corners must be(x 1, y2)and(x 2, y1)

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.820452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6702e765-6e3e-44b3-9e3e-2eff21ad78f4 · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:16.790520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 75cbc938-daeb-493f-ba59-5c94cd043c16 · outbound

This paper cites it gave me general intuition how to solve it but didn’t say much other than just guess and check and find a pattern.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration it gave me general intuition how to solve it but didn’t say much other than just guess and check and find a pattern

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.766387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68b910a5-163d-4aa4-84c6-4b52575479bf · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:16.730736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a752d71f-ddef-44b2-a01a-6bdfddcf8c8b · outbound

This paper cites an unresolved cited work.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:20:16.696838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be4d1cde-9394-4f7d-8a08-6ff70df2e340 · outbound

This paper cites Human:Can I have two pointers here? Model:Yes.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Human:Can I have two pointers here? Model:Yes

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:16.672275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers