LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure | Paper Citation Record

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This paper cites FineWeb-edu: the finest col- lection of educational content, 2024,.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure FineWeb-edu: the finest col- lection of educational content, 2024,

Reference 1

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This paper cites Rethinking Benchmark and Contamination for Language Models with Rephrased Samples.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Rethinking Benchmark and Contamination for Language Models with Rephrased Samples

Reference 2

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This paper cites Investigating data contamination in modern benchmarks for large language models.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Investigating data contamination in modern benchmarks for large language models

Reference 3

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This paper cites Training on the Test Task Confounds Evaluation and Emergence.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Training on the Test Task Confounds Evaluation and Emergence

Reference 4

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This paper cites In Search of Forgotten Domain Generalization.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure In Search of Forgotten Domain Generalization

Reference 5

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Observation b4333c37-c8e1-46c5-88ff-8055cf3b5f51 · outbound

This paper cites LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws

Reference 6

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This paper cites The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A".

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

Reference 7

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This paper cites LESS: Selecting Influential Data for Targeted Instruction Tuning.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 8

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This paper cites Skill-it! a data-driven skills framework for understanding and training language models.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Skill-it! a data-driven skills framework for understanding and training language models

Reference 9

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Observation 576b7f73-5b88-4e5d-a6f7-7d7252829711 · outbound

This paper cites Llm2llm: Boosting LLMs with novel iterative data enhancement.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Llm2llm: Boosting LLMs with novel iterative data enhancement

Reference 10

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This paper cites LIMA: Less is more for alignment.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure LIMA: Less is more for alignment

Reference 11

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Observation 19076e4b-d7a1-4b94-9e20-72859b0dd668 · outbound

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LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Unresolved cited work

Reference 12

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Observation 8da4593e-c208-4c07-97ea-acee022ffe7a · outbound

This paper cites What in-context learning “learns” in-context: Disentangling task recognition and task learning.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure What in-context learning “learns” in-context: Disentangling task recognition and task learning

Reference 13

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Observation d525acd0-2b61-4c24-bc01-d23917e3d7be · outbound

This paper cites Beyond alignment: Expanding reasoning capacity via manifold-reshaping policy optimization.arXiv preprint arXiv:2602.02545, 2026.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Beyond alignment: Expanding reasoning capacity via manifold-reshaping policy optimization.arXiv preprint arXiv:2602.02545, 2026

Reference 14

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This paper cites Operationalising the Superficial Alignment Hypothesis via Task Complexity.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Operationalising the Superficial Alignment Hypothesis via Task Complexity

Reference 15

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Observation adf582fd-5d42-4ce1-a2af-bb5ca967877c · outbound

This paper cites Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks

Reference 16

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This paper cites MATH- beyond: A benchmark for RL to expand beyond the base model, 2025.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure MATH- beyond: A benchmark for RL to expand beyond the base model, 2025

Reference 17

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Observation 21b6fb86-dd14-421f-98f8-32e200d43efa · outbound

This paper cites Introducing talkie: a 13b vintage language model from.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Introducing talkie: a 13b vintage language model from

Reference 18

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Observation b8d150e5-7320-4a02-bc1e-0cf1616486c2 · outbound

This paper cites Knowledge boundary of large language models: A survey.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Knowledge boundary of large language models: A survey

Reference 19

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Observation c6bfdddf-2ae1-4fc3-92e2-a66920bb0da1 · outbound

This paper cites Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight

Reference 20

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Observation bab7053c-3a03-44ff-8022-6314e1d1c71c · outbound

This paper cites Language Models (Mostly) Know What They Know.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Language Models (Mostly) Know What They Know

Reference 21

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Observation 931544e9-7446-4f74-a7f4-96a3fbb69a38 · outbound

This paper cites Investigating the factual knowledge boundary of large language models with retrieval augmentation.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Investigating the factual knowledge boundary of large language models with retrieval augmentation

Reference 22

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Observation b62b7002-2f5c-453a-ac63-8cdfd2860f7e · outbound

This paper cites Benchmarking knowledge boundary for large language models: A different perspective on model evaluation.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Benchmarking knowledge boundary for large language models: A different perspective on model evaluation

Reference 23

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This paper cites Princeton University Press, 2026.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Princeton University Press, 2026

Reference 24

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Observation 770e0bd1-5e63-4625-b2ef-149de3300c80 · outbound

This paper cites Data determines distributional robustness in contrastive language image pre-training (CLIP),.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Data determines distributional robustness in contrastive language image pre-training (CLIP),

Reference 25

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Observation fc4edc8f-8e9f-4fa1-a04b-5a7d917d9e5e · outbound

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LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 26

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This paper cites Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Reference 27

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This paper cites On the interplay of pre-training, mid-training, and RL on reasoning language models, 2025.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure On the interplay of pre-training, mid-training, and RL on reasoning language models, 2025

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This paper cites A benchmark of expert-level academic questions to assess AI capabilities.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure A benchmark of expert-level academic questions to assess AI capabilities

Reference 29

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LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 30

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LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure MMLU-pro: A more robust and challenging multi-task language understanding benchmark

Reference 31

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LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 32

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This paper cites Age-of-acquisition ratings for 30,000 english words.Behavior Research Methods, 44(4):978–990, 5 2012.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Age-of-acquisition ratings for 30,000 english words.Behavior Research Methods, 44(4):978–990, 5 2012

Reference 33

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This paper cites rspeer/wordfreq: v3.0, 9 2022,.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure rspeer/wordfreq: v3.0, 9 2022,

Reference 34

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LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Common core state standards

Reference 35

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This paper cites Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts

Reference 36

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This paper cites OpenEvolve: an open-source evolutionary coding agent, 2025.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure OpenEvolve: an open-source evolutionary coding agent, 2025

Reference 37

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LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Bag of tricks for efficient text classification

Reference 38

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This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 39

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This paper cites Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models

Reference 40

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This paper cites On improving the accuracy of readability classification using insights from second language acquisition.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure On improving the accuracy of readability classification using insights from second language acquisition

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This paper cites Qwen3 Technical Report.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Qwen3 Technical Report

Reference 42

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This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Gemma 2: Improving Open Language Models at a Practical Size

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This paper cites A large-scaled corpus for assessing text readability.Behavior Research Methods, 55(2):491–507, 3.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure A large-scaled corpus for assessing text readability.Behavior Research Methods, 55(2):491–507, 3

Reference 44

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LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Unresolved cited work

Reference 45

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This paper cites Byt5: Towards a token-free future with pre-trained byte-to-byte models.Transactions of the Association for Computational Linguistics, 10:291–306, 2022.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Byt5: Towards a token-free future with pre-trained byte-to-byte models.Transactions of the Association for Computational Linguistics, 10:291–306, 2022

Reference 46

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LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure doi: 10.3758/s13428-022-01802-x

Reference 47

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Observation ad0942dc-18a6-44bc-accd-2714e4f62530 · outbound

This paper cites 200,000+ jeopardy! questions.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure 200,000+ jeopardy! questions

Reference 48

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Observation a85e4840-941c-4d46-ac00-f72e5cd6de82 · outbound

This paper cites Gemini 2.5 Flash and native capabilities – audio & image model card.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Gemini 2.5 Flash and native capabilities – audio & image model card

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:15.235110Z

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Observation ae72d9e0-21ae-4096-9484-aaf999e014b3 · outbound

This paper cites CoMTA: Conversation-Based Math Tutoring Accuracy Dataset.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure CoMTA: Conversation-Based Math Tutoring Accuracy Dataset

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:15.283600Z

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Observation 24aaf5b1-3c72-4b26-8d01-af57cad20ea8 · outbound

This paper cites From next-token to mathematics: The learning dynamics of mathematical reasoning in language models.arXiv preprint arXiv:2407.00900, 2024.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure From next-token to mathematics: The learning dynamics of mathematical reasoning in language models.arXiv preprint arXiv:2407.00900, 2024

Reference 51

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This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 52

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This paper cites National Academies Press, Washington, DC, 2013.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure National Academies Press, Washington, DC, 2013

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:15.210187Z

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Observation b5b6b661-3783-4de6-a63c-d18b7662c7fd · outbound

This paper cites PROPER Agents: Proactivity Driven Personalized Agents for Advancing Knowledge Gap Navigation.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure PROPER Agents: Proactivity Driven Personalized Agents for Advancing Knowledge Gap Navigation

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Observation 1a2cf17e-fd2a-401d-aaf7-ed0c5f3dec24 · outbound

This paper cites A new readability yardstick.Journal of Applied Psychology, 32(3):221–233, 1948.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure A new readability yardstick.Journal of Applied Psychology, 32(3):221–233, 1948

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:13.340793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 583222b1-32a3-45f0-ae36-d5fff01d3ad7 · outbound

This paper cites Chang and Benjamin K.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Chang and Benjamin K

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:13.328560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a797c331-7617-4284-8710-15c4ad0f7b4c · outbound

This paper cites The new academic word list.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure The new academic word list

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:15.158412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 411d8feb-690b-4dd4-b4e5-3d902aa726bd · outbound

This paper cites Wikipedia TF-IDF Dataset.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Wikipedia TF-IDF Dataset

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:15.133297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 009b414e-970a-4ca9-a591-5f472a86dd44 · outbound

This paper cites A formula for predicting readability: Instructions.Educational research bulletin, pages 37–54, 1948.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure A formula for predicting readability: Instructions.Educational research bulletin, pages 37–54, 1948

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:15.184336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e586d355-063e-418c-ad64-81e918e2ac75 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:13.371809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1daf6006-3b39-4469-8173-0546f3613f8c · outbound

This paper cites Muon: An optimizer for hidden layers in neural networks, 2024.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Muon: An optimizer for hidden layers in neural networks, 2024

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:15.113877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 18d4fa57-22e3-4e70-a13f-5bc6fddc4fea · outbound

This paper cites an unresolved cited work.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:13.365011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01751ef4-da2f-4592-a4b8-68ed6f036c10 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Training Verifiers to Solve Math Word Problems

Reference 63

Resolution: malformed identifier; no resolver link, observed 2026-08-14T04:32:13.391853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da7b42ed-f429-4851-b35a-c8196afec172 · outbound

This paper cites OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:13.384509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 187b58bd-c6c5-49f4-b377-d05f6fcf5304 · outbound

This paper cites an unresolved cited work.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:32:14.957664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ecbf863b-53e6-4213-9ead-cfc1fc35f155 · outbound

This paper cites an unresolved cited work.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:32:15.088687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ace6e875-efc3-4070-84db-2bd1e38e629b · outbound

This paper cites an unresolved cited work.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:32:15.055955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2a35a2c0-09a3-45c0-83a9-923dc390f5cf · outbound

This paper cites an unresolved cited work.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:32:15.027041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a1e9336-d3d6-4e95-adb9-05f78f2b2e0e · outbound

This paper cites an unresolved cited work.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-14T04:32:14.998398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 06665ca7-ec58-4ba5-97e3-1ff1d2eb9f80 · outbound

This paper cites an unresolved cited work.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Unresolved cited work

Reference 77

Resolution: parse uncertain; raw_fallback, observed 2026-08-14T04:32:14.977205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b4d90300-4f96-4429-b107-719b39ca9b8c · outbound

This paper cites kinetic energy,.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure kinetic energy,

Reference 78

Resolution: malformed identifier; raw_fallback, observed 2026-08-14T04:32:14.937162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 733fd2ad-6279-47ea-92ea-f6f99215020f · outbound

This paper cites We need to find the answer.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure We need to find the answer

Reference 286

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:14.914948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9b1e11a5-96b4-4ec8-86c3-4e566b04ac74 · outbound

This paper cites URLhttps://talkie-lm.com/introducing-talkie.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure URLhttps://talkie-lm.com/introducing-talkie

Reference 1930

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:32:15.549497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6fb28b95-7f37-412b-bbc3-25699e65940e · outbound

This paper cites Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP).

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:13.047235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers