Paper Citation Record · LEDGER

Deep Active Inference Agents for Delayed and Long-Horizon Environments

As of 8 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 2 inbound Pith citation observations for arXiv:2505.19867.

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

pith.paper-citation-record.v1
2505.19867 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:12:58.500855Z

measured 66 of 66 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T14:14:38.297507Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:07:36.665114Z

Reference resolution

64 of 64 outbound references displayed

verified exact6
verified fuzzy28
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a9840bf-70ee-460f-9c35-932b390b375e · outbound

This paper cites Reinforcement learning: An introduction.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Reinforcement learning: An introduction

Reference 1

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Source-reported events for the cited work

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Observation c3374ee9-51fe-4f9b-8682-00a860222343 · outbound

This paper cites Deep learning.Nature, 521(7553):436–444, 2015.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Deep learning.Nature, 521(7553):436–444, 2015

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:45.531447Z

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Observation 86c7ae8f-dc45-4f1a-b3d4-dd8e8111aad3 · outbound

This paper cites Bishop and Hugh Bishop.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Bishop and Hugh Bishop

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:04.777218Z

Source-reported events for the cited work

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Observation 1ecc397a-cd8e-4e0f-ad68-06f7628b9a1f · outbound

This paper cites Human-level control through deep reinforcement learning.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Human-level control through deep reinforcement learning

Reference 4

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Source-reported events for the cited work

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Observation c7823b27-11d5-4ec2-bc3e-07007f5eaf93 · outbound

This paper cites Moerland, Joost Broekens, Aske Plaat, and Catholijn M.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Moerland, Joost Broekens, Aske Plaat, and Catholijn M

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:53.106994Z

Source-reported events for the cited work

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Observation 167bcf0a-aaaf-4952-9f61-0e0d72d9b4f5 · outbound

This paper cites Mastering diverse control tasks through world models.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Mastering diverse control tasks through world models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:04.502741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f7e7b6b4-050e-4554-b9ae-9981067e49b0 · outbound

This paper cites Moran, Yukie Nagai, Tadahiro Taniguchi, Hiroaki Gomi, and Joshua B.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Moran, Yukie Nagai, Tadahiro Taniguchi, Hiroaki Gomi, and Joshua B

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:04.383571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 86bbcd24-2287-4b7f-8247-d4cc4d3e8075 · outbound

This paper cites Active inference: a process theory.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Active inference: a process theory

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:04.276329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1225d9c2-555a-4a27-848e-6845bb599cf7 · outbound

This paper cites Active inference: the free energy principle in mind, brain, and behavior.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Active inference: the free energy principle in mind, brain, and behavior

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:53.585874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df2f8b20-fa36-487d-add7-a6079a465613 · outbound

This paper cites The free-energy principle: a unified brain theory? Nature reviews neuroscience, 11(2):127–138, 2010.

Deep Active Inference Agents for Delayed and Long-Horizon Environments The free-energy principle: a unified brain theory? Nature reviews neuroscience, 11(2):127–138, 2010

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:53.707050Z

Source-reported events for the cited work

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Observation c0d5a0fb-70c0-4915-8d5e-71c6aa7f891f · outbound

This paper cites Active inference meeting energy- efficient control of parallel and identical machines.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Active inference meeting energy- efficient control of parallel and identical machines

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:04.154210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 696800db-fa53-4a26-9eda-fc0fdf124b1c · outbound

This paper cites Deep active inference agents using Monte-Carlo methods.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Deep active inference agents using Monte-Carlo methods

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:53.944945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8177aaa-25d8-483a-8161-8d747dc68da5 · outbound

This paper cites Dream to control: Learning behaviors by latent imagination.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Dream to control: Learning behaviors by latent imagination

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:04.020867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81ad168e-38dd-4599-bd21-7ade8a1c8fbd · outbound

This paper cites R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models.

Deep Active Inference Agents for Delayed and Long-Horizon Environments R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:12:59.815826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c0f049f-fe70-4d51-a2ee-78964b3e4185 · outbound

This paper cites Model-based reinforcement learning for biological sequence design.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Model-based reinforcement learning for biological sequence design

Reference 15

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Source-reported events for the cited work

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Observation 41a55630-7fd6-4481-a55d-b0d05145ab04 · outbound

This paper cites Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design

Reference 16

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Source-reported events for the cited work

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Observation e314a065-cfc0-4a81-92fe-b6fdb78fb0a0 · outbound

This paper cites Deep Generative Modeling.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Deep Generative Modeling

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:03.890187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f13f950f-2eba-45b0-b68a-e0dbe41b2356 · outbound

This paper cites Ballard, Joshua Bambrick, Sebastian W.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Ballard, Joshua Bambrick, Sebastian W

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:03.786432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2ebcbb1-eb86-4f9b-99f5-92cbcfdef57b · outbound

This paper cites World Models.

Deep Active Inference Agents for Delayed and Long-Horizon Environments World Models

Reference 19

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Source-reported events for the cited work

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Observation 868a5272-570a-4270-a5ab-63c21f671662 · outbound

This paper cites Auto-Encoding Variational Bayes.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Auto-Encoding Variational Bayes

Reference 20

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Source-reported events for the cited work

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Observation c1cc07be-2920-4863-a9c6-6aa0963d5eb5 · outbound

This paper cites Learning latent dynamics for planning from pixels.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Learning latent dynamics for planning from pixels

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:54.925268Z

Source-reported events for the cited work

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Observation 7be0f3d9-4eb0-4499-8a9f-eaa3f95702f9 · outbound

This paper cites Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:55.050076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0518f09a-7470-41ea-815e-4568e3bf52e1 · outbound

This paper cites Action and behavior: A free-energy formulation.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Action and behavior: A free-energy formulation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:03.668266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b5dcb7c-c088-4357-94ce-5657b8349172 · outbound

This paper cites Applications of the Free Energy Principle to Machine Learning and Neuroscience.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Applications of the Free Energy Principle to Machine Learning and Neuroscience

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:12:59.517800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c1303620-902c-41cc-a1df-3c1647b20626 · outbound

This paper cites Experimental validation of the free-energy principle with in vitro neural networks.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Experimental validation of the free-energy principle with in vitro neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:03.362530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f9196cc-96c8-4b6b-b09e-711cadedf123 · outbound

This paper cites Active inference and behavior trees for reactive action planning and execution in robotics.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Active inference and behavior trees for reactive action planning and execution in robotics

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:03.215546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation efc61ce9-8cf0-4f2d-b6f6-189fe6c81065 · outbound

This paper cites Active exploration for robotic manipulation.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Active exploration for robotic manipulation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:03.086160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5d1b3f1-193c-4305-85d5-6ecf89e0506f · outbound

This paper cites Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active Inference.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active Inference

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:12:59.319614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a89be351-f1a1-4d94-9d2f-155bfa3c22a4 · outbound

This paper cites How active inference could help revolutionise robotics.

Deep Active Inference Agents for Delayed and Long-Horizon Environments How active inference could help revolutionise robotics

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:02.926076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 31cf0522-bb56-45eb-848e-b56b749cce25 · outbound

This paper cites Reward maximiza- tion through discrete active inference.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Reward maximiza- tion through discrete active inference

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:02.786970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 72ffbc2d-e363-42a0-9944-d44ad5dfc90f · outbound

This paper cites Planning and acting in partially observable stochastic domains.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Planning and acting in partially observable stochastic domains

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:02.698724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b539796e-0b79-489b-9dd6-49032a103934 · outbound

This paper cites On efficient computation in active inference.

Deep Active Inference Agents for Delayed and Long-Horizon Environments On efficient computation in active inference

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:12:59.175707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f855f170-7875-4a85-aea9-8ac39a1c68b7 · outbound

This paper cites Variational inference: A review for statisticians.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Variational inference: A review for statisticians

Reference 33

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Observation faec2e55-12d9-47fa-b78e-4890a250f1c8 · outbound

This paper cites Bayesian brains and the rényi divergence.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Bayesian brains and the rényi divergence

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:02.609352Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad7e10d0-857d-4302-aea8-28e0d16f1b83 · outbound

This paper cites Computational mechanisms of curiosity and goal-directed exploration.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Computational mechanisms of curiosity and goal-directed exploration

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:02.475569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e5d282a-a794-43f8-b056-ffb4af720d58 · outbound

This paper cites Curiosity-driven exploration by self-supervised prediction.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Curiosity-driven exploration by self-supervised prediction

Reference 36

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Observation fb5cdc8b-be8d-4ed4-bf03-5b7bb2dbf87a · outbound

This paper cites Exploration by Random Network Distillation.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Exploration by Random Network Distillation

Reference 37

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Source-reported events for the cited work

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Observation e8fef491-1d5b-45a7-b9d2-b51276c4f557 · outbound

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

Deep Active Inference Agents for Delayed and Long-Horizon Environments Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:56.706569Z

Source-reported events for the cited work

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Observation 24b45f96-a556-480e-8c14-c549d84edd7e · outbound

This paper cites Efficient selectivity and backup operators in monte-carlo tree search.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Efficient selectivity and backup operators in monte-carlo tree search

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:56.748929Z

Source-reported events for the cited work

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Observation 2c5435ff-ba8f-45fd-9b6a-b4aea345d187 · outbound

This paper cites Mastering the game of go without human knowledge.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Mastering the game of go without human knowledge

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:56.794136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f43555-a414-46e3-9e1a-783e05d6cad2 · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Mastering atari, go, chess and shogi by planning with a learned model

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:56.842813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcfe45ea-77f8-4b72-9f89-a5db683cd4a6 · outbound

This paper cites Probabilistic planning with sequential monte carlo methods.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Probabilistic planning with sequential monte carlo methods

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:02.282176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aba43d54-c947-4768-b56c-1806a6e49e56 · outbound

This paper cites Iterative amortized inference.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Iterative amortized inference

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:56.950588Z

Source-reported events for the cited work

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Observation fb11913c-0e66-48da-a304-4c01c4335bb0 · outbound

This paper cites Control as Hybrid Inference.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Control as Hybrid Inference

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:12:58.968721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 833c2bca-0a1c-4125-ba41-ae97e08531f0 · outbound

This paper cites Information processing in decision-making systems.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Information processing in decision-making systems

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:02.196169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cc54cfea-ab88-40ea-8e87-239ab7daa3f2 · outbound

This paper cites Mastering atari games with limited data.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Mastering atari games with limited data

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:02.065775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 43f907dd-db5b-430e-9066-8bd5cc68f649 · outbound

This paper cites Amortized inference in probabilistic reasoning.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Amortized inference in probabilistic reasoning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:57.166663Z

Source-reported events for the cited work

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Observation 257c3de3-1231-4461-85d0-327050da4ab5 · outbound

This paper cites Amortized Variational Inference: When and Why?.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Amortized Variational Inference: When and Why?

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:12:58.793504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 302d3357-9cd1-4e1d-b4f4-2dda6c83d7ee · outbound

This paper cites From data to functa: Your data point is a function and you can treat it like one.

Deep Active Inference Agents for Delayed and Long-Horizon Environments From data to functa: Your data point is a function and you can treat it like one

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:57.229939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd7f904-555a-454a-912c-ebcf6ba5eae1 · outbound

This paper cites Graph Neural Networks for Learning Equivariant Representations of Neural Networks.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:57.316959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78cd9c2a-5e38-401c-bd0a-f90a320182a0 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:57.417805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac39fd9f-a12b-4df6-a126-72a15fa673aa · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework.

Deep Active Inference Agents for Delayed and Long-Horizon Environments beta-vae: Learning basic visual concepts with a constrained variational framework

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:57.458978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcb74d80-549d-4b86-a084-ca5de6ce4b49 · outbound

This paper cites The animal-ai olympics.

Deep Active Inference Agents for Delayed and Long-Horizon Environments The animal-ai olympics

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:01.792264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b3df76cf-df81-4df0-bf4a-934be62c3eae · outbound

This paper cites Active Inference in Robotics and Artificial Agents: Survey and Challenges.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Active Inference in Robotics and Artificial Agents: Survey and Challenges

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:57.595178Z

Source-reported events for the cited work

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Observation 570e6f63-62e1-41a1-b667-8c3eebf98955 · outbound

This paper cites Reinforce- ment learning for energy-efficient control of parallel and identical machines.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Reinforce- ment learning for energy-efficient control of parallel and identical machines

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:01.524902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ab007712-cb0e-493d-b403-670554b5dd70 · outbound

This paper cites Energy-efficient control in multi-stage production lines with parallel machine workstations and production constraints.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Energy-efficient control in multi-stage production lines with parallel machine workstations and production constraints

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:01.282117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3ab86c1-c937-400f-9811-96c57001e1d0 · outbound

This paper cites Reinforcement learning for sustainability enhancement of production lines.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Reinforcement learning for sustainability enhancement of production lines

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:01.013875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 37625e92-c201-4c73-97c6-b6e079e89eb8 · outbound

This paper cites Introduction to probability models.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Introduction to probability models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:00.752921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c734589f-9165-41cb-86dd-4385f2fb5a8d · outbound

This paper cites Deep sets.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Deep sets

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:58.031797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f048667d-ec01-479c-bc83-a1fe71b5d78e · outbound

This paper cites Attention is all you need.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Attention is all you need

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:58.114630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d363871-ef11-476a-8d41-8e2793422677 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Fourier Neural Operator for Parametric Partial Differential Equations

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:58.199587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b506005-f69e-46b4-b314-86673e316c6f · outbound

This paper cites Learning nonlinear operators via deeponet based on the universal approximation theorem of operators.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Learning nonlinear operators via deeponet based on the universal approximation theorem of operators

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:00.529612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c272791-b7b1-47ef-af01-b515d2fe21e2 · outbound

This paper cites A literature review of energy efficiency and sustainability in manufacturing systems.

Deep Active Inference Agents for Delayed and Long-Horizon Environments A literature review of energy efficiency and sustainability in manufacturing systems

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:00.284977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ce361c90-b164-46f4-b957-830f5230208c · outbound

This paper cites Poisson processes, volume 3.

Deep Active Inference Agents for Delayed and Long-Horizon Environments Poisson processes, volume 3

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:00.070165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 7c9db65a-1a06-43f4-b08a-af40856a35e0 · inbound

Human Cognition in Machines: A Unified Perspective of World Models cites this paper.

Human Cognition in Machines: A Unified Perspective of World Models Deep Active Inference Agents for Delayed and Long-Horizon Environments

Reference 204

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:12:26.254257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 748a88c5-e267-457c-a855-a16aa4d55cf1 · inbound

Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication cites this paper.

Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication Deep Active Inference Agents for Delayed and Long-Horizon Environments

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:07:36.666627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.