Paper Citation Record · LEDGER

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.04399.

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

pith.paper-citation-record.v1
2506.04399 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:47:01.637523Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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verified fuzzy25
unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 579c6bc8-2a7d-4361-ad89-3f9283335fc5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 1

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Observation 6d2dc8e3-3aed-4d96-8f56-1dfd00551205 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 2

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Source-reported events for the cited work

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Observation d3912036-18b6-4530-8977-ca777f3445fc · outbound

This paper cites A Tutorial on Meta-Reinforcement Learning.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning A Tutorial on Meta-Reinforcement Learning

Reference 3

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Observation 08137d0e-0594-4be5-b703-4753709c0a9b · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 4

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Observation 699662dc-d3b9-45ae-a91c-06dbe4e96118 · outbound

This paper cites A survey on offline reinforcement learning: Taxonomy, review, and open problems,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning A survey on offline reinforcement learning: Taxonomy, review, and open problems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:02.005212Z

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Observation 0def7e88-2112-4f73-a5e7-22cca0e1754d · outbound

This paper cites NoRML: No-Reward Meta Learning.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning NoRML: No-Reward Meta Learning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:47:01.738830Z

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Observation ca788da2-b6d1-47a6-a4a2-db18046ea372 · outbound

This paper cites Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

Reference 7

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Observation 5c26b27b-7f56-4fe7-9daf-3d9f61085b25 · outbound

This paper cites Context-aware dynamics model for generalization in model-based reinforcement learning,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Context-aware dynamics model for generalization in model-based reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.996397Z

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Observation 704fd244-6e72-4cc5-9bbc-811e8581194d · outbound

This paper cites Rma: Rapid motor adaptation for legged robots,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Rma: Rapid motor adaptation for legged robots,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.987339Z

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Observation 2e7692b4-b66f-4d38-ad29-4fd0d40a6fa9 · outbound

This paper cites Efficient off- policy meta-reinforcement learning via probabilistic context variables,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Efficient off- policy meta-reinforcement learning via probabilistic context variables,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.978888Z

Source-reported events for the cited work

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Observation 91a1adaa-d2c2-4a48-b4ef-bfba33e0b3a5 · outbound

This paper cites VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Reference 11

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Observation 28b96007-477d-4698-a0bc-152454c66423 · outbound

This paper cites Evolutionary principles in self-referential learning, or on learning how to learn: the meta-meta-... hook. Institut f ¨ur Informatik, Technische Universit¨at M ¨unchen,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Evolutionary principles in self-referential learning, or on learning how to learn: the meta-meta-... hook. Institut f ¨ur Informatik, Technische Universit¨at M ¨unchen,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.969713Z

Source-reported events for the cited work

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Observation 88da9622-0ca1-4818-b65e-30d0e15987b2 · outbound

This paper cites Promp: Proximal meta-policy search,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Promp: Proximal meta-policy search,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.960918Z

Source-reported events for the cited work

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Observation 9c44c5a4-9f49-4613-892c-08a1db29b399 · outbound

This paper cites A theoretical understanding of gradient bias in meta-reinforcement learning,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning A theoretical understanding of gradient bias in meta-reinforcement learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.951749Z

Source-reported events for the cited work

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Observation 6ce7beec-184b-449d-9bef-83699efef3f9 · outbound

This paper cites A simple neural attentive meta-learner.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning A simple neural attentive meta-learner

Reference 15

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Source-reported events for the cited work

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Observation b6cad3d8-3323-4f17-afc6-1b086d224f85 · outbound

This paper cites One-shot imitation learning.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning One-shot imitation learning

Reference 16

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Observation 2802b03c-ccce-4a1e-b56d-86c105be5953 · outbound

This paper cites Meta- reinforcement learning of structured exploration strategies,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Meta- reinforcement learning of structured exploration strategies,

Reference 17

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Observation 7ce6fef0-727b-49a7-9001-d4648ec4c009 · outbound

This paper cites Meta-SGD: Learning to Learn Quickly for Few-Shot Learning.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Reference 18

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Observation 121840d4-045c-4537-9d48-23cec949ff22 · outbound

This paper cites Multimodal model-agnostic meta-learning via task-aware modulation,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Multimodal model-agnostic meta-learning via task-aware modulation,

Reference 19

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Observation 3628f5e7-cf2b-46a8-aad9-7d8f8ec3c8b0 · outbound

This paper cites Conditional Neural Processes.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Conditional Neural Processes

Reference 20

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Observation 01ac44aa-508d-4434-947d-ae5f48197303 · outbound

This paper cites Focal: Efficient fully-offline meta- reinforcement learning via distance metric learning and behavior reg- ularization,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Focal: Efficient fully-offline meta- reinforcement learning via distance metric learning and behavior reg- ularization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.904569Z

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Observation c9830779-a760-4dfc-8761-51149b6cdef3 · outbound

This paper cites Auto-encoding variational bayes,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Auto-encoding variational bayes,

Reference 22

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Observation 7c6221cf-026e-4270-89c5-19bba81c03f1 · outbound

This paper cites Spatial multi-attention conditional neural processes,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Spatial multi-attention conditional neural processes,

Reference 23

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Observation fe9b722f-2a66-4445-9430-216a215f6443 · outbound

This paper cites Autoregressive conditional neural processes,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Autoregressive conditional neural processes,

Reference 24

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Observation 3bba4b37-ce22-49f3-af35-14b02122e323 · outbound

This paper cites Attentive neural processes,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Attentive neural processes,

Reference 25

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Observation 188f9c31-3c96-4e79-8ea1-2540990b5eae · outbound

This paper cites Contrastive conditional neural processes,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Contrastive conditional neural processes,

Reference 26

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Observation 6130c372-3647-4dc8-a38b-87b6f7aa3524 · outbound

This paper cites Conditional neural movement primitives.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Conditional neural movement primitives

Reference 27

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Observation d1d17069-040d-45ca-a310-8ef944d674e8 · outbound

This paper cites Imitation and mirror systems in robots through deep modality blending networks,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Imitation and mirror systems in robots through deep modality blending networks,

Reference 28

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Observation f47ddd6d-f794-466e-907b-8115a1263a74 · outbound

This paper cites Generative Adversarial Networks with Conditional Neural Movement Primitives for An Interactive Generative Drawing Tool.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Generative Adversarial Networks with Conditional Neural Movement Primitives for An Interactive Generative Drawing Tool

Reference 29

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Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Unresolved cited work

Reference 30

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Observation aebc4b54-bc2b-4ad8-a666-ef3220662cbf · outbound

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

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 31

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This paper cites Generalization in transfer learning: robust control of robot locomotion,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Generalization in transfer learning: robust control of robot locomotion,

Reference 32

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Observation 162bad7c-49e0-447c-b2c6-3ceb39ff31d7 · outbound

This paper cites Adam: Amethod for stochastic optimiza- tion,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Adam: Amethod for stochastic optimiza- tion,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.817800Z

Source-reported events for the cited work

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Observation e83a7dff-dc30-4465-8c6b-5eaa2cc07937 · outbound

This paper cites Deep reinforce- ment learning in a handful of trials using probabilistic dynamics models,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Deep reinforce- ment learning in a handful of trials using probabilistic dynamics models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.808744Z

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Observation d570f6bd-1ca5-426a-b588-c755eee4f62e · outbound

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

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Mujoco: A physics engine for model- based control,

Reference 35

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Observation bd8beb11-f5ea-43b3-8b5f-bf0bc20042ed · outbound

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Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning OpenAI Gym

Reference 36

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This paper cites CaDM Code Repository ,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning CaDM Code Repository ,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.790741Z

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Observation a66394db-1e9e-4e3f-a1a6-64b40ff26d27 · outbound

This paper cites Model predictive control: Theory and practice—a survey,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning Model predictive control: Theory and practice—a survey,

Reference 38

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Observation 19ea6751-df84-412b-989f-49b47ee2e463 · outbound

This paper cites The cross- entropy method for optimization,.

Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning The cross- entropy method for optimization,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:01.776181Z

Source-reported events for the cited work

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