Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:54:48.870236Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 7 inbound Pith citation observations for arXiv:2412.05149.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:54:48.870236Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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80 of 80 outbound references displayed
External citation measurements
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Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora URL: " 'urlintro :=
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Observation d1282e2b-c6ab-4670-8eae-96e197523dcb · inbound
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Reference 41
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Observation 19e74139-6de6-4c6e-a948-673a6d49d24f · inbound
Spontaneous Speech Variables for Evaluating LLMs Cognitive Plausibility Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Reference 29
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Observation de485d5f-83eb-45d1-80a1-984e362c6066 · inbound
Pre-Training Curriculum for Multi-Token Prediction in Language Models Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Reference 4
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Observation e03c4073-6aa3-44e0-b77b-0ba227b9440b · inbound
Influence-driven Curriculum Learning for Pre-training on Limited Data Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Reference 20
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Observation d9a985a3-f1e4-4ac2-af5e-9bfabdc2f79d · inbound
Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size? Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Reference 18
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Observation 2c81ff9c-fe2e-4f4f-a20e-d575984978ef · inbound
Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck? Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Reference 8
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8f9535dc-a041-4ef9-877f-4b6ae1e0694b · inbound
ESsEN: Training Compact Discriminative Vision-Language Transformers in a Low-Resource Setting Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Reference 28
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.