Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 58 checked references that resolve
resolves10.1037/a0031912Reconciling intuitive physics and Newtonian mechanics for colliding objects.
resolves10.1068/p221483Gestalt Relations and Object Perception: A Developmental Study
resolves10.1016/j.cogpsych.2007.06.003Can infants be “taught” to attend to a new physical variable in an event category? The case of height in covering events
resolves10.1016/S0010-0277(02)00088-4Objects are individuals but stuff doesn't count: perceived rigidity and cohesiveness influence infants' representations of small groups of discrete entities
resolves10.1037/bul0000011Divisions of the physical world: Concepts of objects and substances.
resolves10.1177/0956797615617897Five-Month-Old Infants Have General Knowledge of How Nonsolid Substances Behave and Interact
resolves10.1167/13.4.12Visual perception of the physical stability of asymmetric three-dimensional objects
resolves10.1523/JNEUROSCI.6207-09.2010Information about the Weight of Grasped Objects from Vision and Internal Models Interacts within the Primary Motor Cortex
The 26 references without a DOI — listed, not checked
no DOI — not checked10.1016/j.tics.2017.05.012_bib0005
no DOI — not checked10.1016/j.tics.2017.05.012_bib0025
no DOI — not checkedNoisy Newtons: unifying process and dependency accounts of causal attribution
no DOI — not checked10.1016/j.tics.2017.05.012_bib0060
no DOI — not checkedThe recurrent temporal restricted Boltzmann machine
no DOI — not checked10.1016/j.tics.2017.05.012_bib0110
no DOI — not checkedCategories, kinds, and object individuation in infancy
no DOI — not checkedQualitative physics: Past, present, and future
no DOI — not checked10.1016/j.tics.2017.05.012_bib0205
no DOI — not checkedFive-month-old infants have expectations for how nonsolid substances transform and persist
no DOI — not checkedHumans predict liquid dynamics using probabilistic simulation
no DOI — not checkedQualitative reasoning about physical processes
no DOI — not checked10.1016/j.tics.2017.05.012_bib0290
no DOI — not checked10.1016/j.tics.2017.05.012_bib0295
no DOI — not checked10.1016/j.tics.2017.05.012_bib0300
no DOI — not checked10.1016/j.tics.2017.05.012_bib0305
no DOI — not checked10.1016/j.tics.2017.05.012_bib0310
no DOI — not checked10.1016/j.tics.2017.05.012_bib0315
no DOI — not checked10.1016/j.tics.2017.05.012_bib0320
no DOI — not checkedBuilding machines that learn and think like people
no DOI — not checkedGalileo: perceiving physical object properties by integrating a physics engine with deep learning
no DOI — not checkedInteraction networks for learning about objects, relations and physics
no DOI — not checked10.1016/j.tics.2017.05.012_bib0340
no DOI — not checkedA compositional object-based approach to learning physical dynamics
no DOI — not checkedConsistent physics underlying ballistic motion prediction
no DOI — not checkedPerception and prediction of simple object interactions
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