Paper Citation Record · LEDGER

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2501.17842.

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

pith.paper-citation-record.v1
2501.17842 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:37:02.239371Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T12:15:08.304150Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:40.742775Z

Reference resolution

61 of 61 outbound references displayed

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External citation measurements

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Outbound references

Observation 1a0e42ae-21d7-4791-931a-3b14104fb482 · outbound

This paper cites Critical learning periods in deep networks.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Critical learning periods in deep networks

Reference 1

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Observation 95c0459c-a4a2-465e-a229-43ca501811ef · outbound

This paper cites Learning dexterous in-hand manipulation.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Learning dexterous in-hand manipulation

Reference 2

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Observation 9dd481e3-8c47-4a4f-99de-30193bbc9e40 · outbound

This paper cites A survey on intrinsic motivation in reinforcement learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning A survey on intrinsic motivation in reinforcement learning

Reference 3

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This paper cites Never Give Up: Learning Directed Exploration Strategies.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Never Give Up: Learning Directed Exploration Strategies

Reference 4

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Observation d648ce7f-df74-4c50-a0d5-e3901ce83a42 · outbound

This paper cites Toddler-inspired visual object learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Toddler-inspired visual object learning

Reference 5

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Observation 65f96382-5527-4618-a2c7-8ade189ce4f1 · outbound

This paper cites Curriculum learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Curriculum learning

Reference 6

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Observation 2566d5af-ecf6-402e-a52d-a80ef319f9b9 · outbound

This paper cites OpenAI Gym.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning OpenAI Gym

Reference 7

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This paper cites Exploration by Random Network Distillation.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Exploration by Random Network Distillation

Reference 8

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This paper cites A critical period for robust curriculum-based deep reinforcement learning of sequential action in a robot arm.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning A critical period for robust curriculum-based deep reinforcement learning of sequential action in a robot arm

Reference 9

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Observation 915198f8-8bbf-4e04-b03c-201fd8ee75b0 · outbound

This paper cites Class rectification hard mining for imbalanced deep learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Class rectification hard mining for imbalanced deep learning

Reference 10

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Observation f5646f98-1f35-4a8b-bc16-fbacb3d00ff9 · outbound

This paper cites Self-contrastive learning with hard negative sampling for self-supervised point cloud learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Self-contrastive learning with hard negative sampling for self-supervised point cloud learning

Reference 11

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Observation 218cc5a5-0000-49d9-a628-47ec6a2704d2 · outbound

This paper cites Automatic goal generation for reinforcement learning agents.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Automatic goal generation for reinforcement learning agents

Reference 12

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Observation 84a96359-289a-4d61-bd5e-3a150cc4a11c · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Sharpness-aware minimization for efficiently improving generalization

Reference 13

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Observation 0fc64829-8eb4-457d-a1af-cfd44bd92237 · outbound

This paper cites Exploratory behavior in the development of perceiving, acting, and the acquiring of knowledge.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Exploratory behavior in the development of perceiving, acting, and the acquiring of knowledge

Reference 14

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Observation 0e2f4b8c-b6f7-4732-bd8e-896e135c38fc · outbound

This paper cites Qualitatively characterizing neural network optimization problems.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Qualitatively characterizing neural network optimization problems

Reference 15

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Observation 3d3c6b86-58c7-4989-bb18-16d15ba4cec7 · outbound

This paper cites The scientist in the crib: Minds, brains, and how children learn.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning The scientist in the crib: Minds, brains, and how children learn

Reference 16

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Observation 55b368b1-6db1-4525-b3fb-5de18650d1cd · outbound

This paper cites Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood

Reference 17

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Observation 202da60a-af40-4e8b-af47-ef38ccc6c3e3 · outbound

This paper cites Automated curriculum learning for neural networks.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Automated curriculum learning for neural networks

Reference 18

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Observation 0061575f-658f-4225-b700-bc81de7be184 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 19

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning On the power of curriculum learning in training deep networks

Reference 20

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Observation bfb38035-4bbb-48cc-85b1-f078aa19bae0 · outbound

This paper cites Dealing with Sparse Rewards in Reinforcement Learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Dealing with Sparse Rewards in Reinforcement Learning

Reference 21

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This paper cites Expressing arbitrary reward functions as potential-based advice.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Expressing arbitrary reward functions as potential-based advice

Reference 22

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Observation de85f9db-3569-4201-81f3-3c6b661d49ff · outbound

This paper cites Comprehensive overview of reward engineering and shaping in advancing reinforcement learning applications.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Comprehensive overview of reward engineering and shaping in advancing reinforcement learning applications

Reference 23

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Observation 55b4ce60-6fee-4916-8798-9866b732270a · outbound

This paper cites Finding flatter minima with sgd, 2018.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Finding flatter minima with sgd, 2018

Reference 24

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Observation 329ac9c2-6788-471c-b331-e90037ecfeba · outbound

This paper cites Hard negative mixing for contrastive learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Hard negative mixing for contrastive learning

Reference 25

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This paper cites Vizdoom: A doom-based ai research platform for visual reinforcement learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Vizdoom: A doom-based ai research platform for visual reinforcement learning

Reference 26

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This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 27

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This paper cites On large-batch training for deep learning: Generalization gap and sharp minima.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning On large-batch training for deep learning: Generalization gap and sharp minima

Reference 28

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Observation 6c5cbfdf-b4cf-4327-a519-d0155edcd1ae · outbound

This paper cites Goal-aware cross-entropy for multi-target reinforcement learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Goal-aware cross-entropy for multi-target reinforcement learning

Reference 29

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This paper cites L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning

Reference 30

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Visual Hindsight Self-Imitation Learning for Interactive Navigation

Reference 31

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Reward (mis) design for autonomous driving

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Exploration in deep reinforcement learning: A survey

Reference 33

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Theory and application of reward shaping in reinforcement learning

Reference 34

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This paper cites Visualizing the loss landscape of neural nets.Advances in neural information processing systems, 31, 2018.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Visualizing the loss landscape of neural nets.Advances in neural information processing systems, 31, 2018

Reference 35

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Continual reinforcement learning in 3d non- stationary environments

Reference 36

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Information-based objective functions for active data selection

Reference 37

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 38

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Rusu, Joel Veness, Marc G

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Asynchronous methods for deep reinforcement learning

Reference 40

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Generalizing curricula for reinforcement learning

Reference 41

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Ng, Daishi Harada, and Stuart J

Reference 42

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This paper cites Policy invariance under reward transformations: Theory and application to reward shaping.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Policy invariance under reward transformations: Theory and application to reward shaping

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:03.080041Z

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This paper cites How evolution may work through curiosity-driven developmental process.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning How evolution may work through curiosity-driven developmental process

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:03.061401Z

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This paper cites Benchmarking multi-agent deep reinforce- ment learning algorithms in cooperative tasks.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Benchmarking multi-agent deep reinforce- ment learning algorithms in cooperative tasks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:03.037321Z

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This paper cites Toddler- guidance learning: Impacts of critical period on multimodal ai agents.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Toddler- guidance learning: Impacts of critical period on multimodal ai agents

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:03.017617Z

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This paper cites Unveiling the significance of toddler-inspired reward transition in goal-oriented reinforcement learning.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Unveiling the significance of toddler-inspired reward transition in goal-oriented reinforcement learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:02.998943Z

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From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Curiosity-driven exploration by self-supervised prediction

Reference 48

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This paper cites The origins of intelligence in children, volume 8.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning The origins of intelligence in children, volume 8

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:02.967628Z

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Observation b6ff1b5d-d3a6-4afb-aa5a-3a54ee8fe99d · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Stable-baselines3: Reliable reinforcement learning implementations

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:02.949208Z

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This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 51

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This paper cites Proximal Policy Optimization Algorithms.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 52

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Observation 235e6a0c-5ad7-4fb6-ab1d-7ed47b1f8a01 · outbound

This paper cites From neurons to neighborhoods: The science of early childhood development.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning From neurons to neighborhoods: The science of early childhood development

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:02.927361Z

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Observation ff5afa0c-e470-492c-8ab2-95fc416d62e6 · outbound

This paper cites Transfer learning for reinforcement learning domains: A survey.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Transfer learning for reinforcement learning domains: A survey

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:02.901494Z

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Observation b009c179-2eed-4b14-9a0c-4ac844f40e5a · outbound

This paper cites Mujoco: A physics engine for model-based control.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Mujoco: A physics engine for model-based control

Reference 55

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Observation 77112c7c-156b-40d2-a2ee-96e7b1ea909d · outbound

This paper cites Cognitive maps in rats and men.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Cognitive maps in rats and men

Reference 56

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Observation ef495413-98ac-48f6-936f-c606bff9f49b · outbound

This paper cites Safe reinforcement learning via curriculum induction.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Safe reinforcement learning via curriculum induction

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:02.857730Z

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Observation bfd574d5-3452-412d-88c0-0fa1215993a4 · outbound

This paper cites Curriculum learning by transfer learning: Theory and experiments with deep networks.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Curriculum learning by transfer learning: Theory and experiments with deep networks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T04:37:02.830977Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 156d6535-e62d-4ad4-b6ed-8181b30129fc · outbound

This paper cites FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

Reference 59

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Observation f1382a11-bbd9-438a-ae39-12fa51c4fe03 · outbound

This paper cites requested.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning requested

Reference 60

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Observation c24ef4d4-4270-44ea-8186-0e0c11f39a48 · outbound

This paper cites an unresolved cited work.

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-10T04:37:03.305336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation bad41099-7891-40e3-b218-6fc159836bcf · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning

Reference 144

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:40.744288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.