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Paper Citation Record · LEDGER

Deep Active Inference Agents for Delayed and Long-Horizon Environments

As of 9 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 2026-08-09T06:31:02.800959+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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source=pdf_text observed=2026-08-07T14:12:45.433368Z digest=sha256:2505e2c2741f2cc71fa3bedab12e9cb10dc620f94ff3cd696e4773cb5c686acb

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

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source=pdf_text observed=2026-08-07T14:12:45.531447Z digest=sha256:4120cb0b93c942b340b2f0e8311bf45a73204388c37f80538029d2b9853e31fc

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:45.630949Z digest=sha256:6faa2bb5e4d8171bd32a57a941cbadba551b96ad5512592eef861ff2e53cc255

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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no resolver link, observed 2026-08-07T14:12:53.029727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:53.029727Z digest=sha256:9d0def3b788626c90f2344e5bf4776b51693c22d8fb4281788c6fc6309308d64

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:53.106994Z digest=sha256:975893f351065f6c38aa92d24d9b6232e396f968d52a60c516fb10b2ce5f0582

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:53.234530Z digest=sha256:c6e1d38a92a7daa1abd6a15d53b533e0f90dbec6106eb404c702f4149d97fe19

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:53.352326Z digest=sha256:6e40abfed959b1933b4649b2d75b2f7df75e6a15e586a841fd478a581f64136c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:53.460001Z digest=sha256:f5d92766bc8d1ad8635668ed114d1b4b91a123c13e1dc94438289ed955165ac4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:53.585874Z digest=sha256:ade878ebd85e3d5f6801de94301e725a02f13ea4fb2136ab4cceb4c9bc6f1f53

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:12:53.707050Z digest=sha256:3b0403d3144bb16896b7fc3d74754fa0c51dedce2fae95b64f94c7e784d01982

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:53.817662Z digest=sha256:d0292598d163bbf29c664cb7803c9a501f18f51c5b86d8daeae9e87f3cd0ae2d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:53.944945Z digest=sha256:5947b5ff69ce8662846fc93d02f51061fa40338c8ac18ea379f9b7c83393b93b

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:54.021368Z digest=sha256:47bbedac10e1fe3fcb9cb2eaa36f94646de5ddc6141254488b69ebae593a5639

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:54.124556Z digest=sha256:cf801d9960aa228f7303744ecbecf765c152a474f8c9206321058fbefc5dad15

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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source=pdf_text observed=2026-08-07T14:12:54.252585Z digest=sha256:4f984f1f08dbd0f21638c18a17a26b9653c6dfe7f1ea714b5a574348540b5f44

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=pdf_text observed=2026-08-07T14:12:54.437673Z digest=sha256:02464c16aa39711d4638e60724b7302ded854169b7b8f9e61c2d189d06b9de1c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:54.505315Z digest=sha256:cf41862b4e963dfa2a156237da2e83f68e4c80d0b421953c089a49c3bb3b34f0

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:54.610316Z digest=sha256:b8db92ec82209555b36ef09414978da62359c7015403f6dce5905e9e11ad8014

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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source=pdf_text observed=2026-08-07T14:12:54.743336Z digest=sha256:4d03c3f0554bc110d64347d6ed289b1f5b22657a192a15faea9f0b5e2edaeb57

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=pdf_text observed=2026-08-07T14:12:54.821487Z digest=sha256:f8da1c1987079ad334267960e7cc56c4963e4ebba898288c4ec978568f62cb02

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

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source=pdf_text observed=2026-08-07T14:12:54.925268Z digest=sha256:41e30078a7e4bd5fa1100d3c640fa6797848bc7df428005fed4e7c920e34413e

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

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source=pdf_text observed=2026-08-07T14:12:55.050076Z digest=sha256:87595b3cdc90f5d78abbb6de42f95b9a35ea861de549f724fee497cb62b7e61c

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:55.134062Z digest=sha256:22458d8063451307f39aa9ffc9747f5fcef19110e2f97ad5bf7bbcdcff987143

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

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local_arxiv, observed 2026-08-07T14:12:59.517800Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:55.225477Z digest=sha256:311ff23d72e08dc9da91b2fd47ab257d434090149c2cf75f5867a1e8cbc2d43f

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:55.381013Z digest=sha256:89b428a5be1ef5c3d6a6a97a09a39091a1083c0d509ddfdd3a443f457cd4cc34

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:55.480358Z digest=sha256:9555801b60367773bf65e2253bae78aafe6cacecc9d702b024e00002cff93ff3

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:55.584591Z digest=sha256:96bdabd7f6e13f2c0059406ca20d9a21ebe86e6a74cb09f280eac37bead8c797

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:55.685780Z digest=sha256:6689534c6d002ac7434e37e20fa70ebc85e4527a438b5e19be1a3a17a6c04bb1

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:55.815978Z digest=sha256:e3b0204c3e3fb7221d227ecf71a997b54c83f30766309605bf04dd6163c72b10

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:55.946164Z digest=sha256:be3d7d230b814f7e2ea30ca1fbedfadb5b7c7405de9aa1a696be31f297792031

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:56.076787Z digest=sha256:f6bec9a78e0a069cd82d5c2924445d06ab00659bb04acaca4643835ba0a69ad2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:56.178060Z digest=sha256:523db7ea4c2da0e58dbe82cae4c3c430aed5551381acc30f08b96ffdf1a1cdce

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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no resolver link, observed 2026-08-07T14:12:56.287848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:56.287848Z digest=sha256:aa24cb5d70622acb77d50c7c09d96671cbe48e9870eba08305373d74e899fbdf

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:56.487429Z digest=sha256:050fb7115e89c6066b11f66ed4280b7266e3d767ff446c9190085e52ef0576f1

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:56.585865Z digest=sha256:e2a5244b19da81ddb3657e38e8f66cd240d8f43f35dd3bb513effe6d111f80a5

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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no resolver link, observed 2026-08-07T14:12:56.637449Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:12:56.637449Z digest=sha256:ce1adec1af3ffa377ee5a6fdf59705cd99bd4c8aaccce4da17773b8d078d2d62

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=pdf_text observed=2026-08-07T14:12:56.672801Z digest=sha256:3208002808da25331d8af64d1db1aedfa199e66fd13fdc665ada34d0efaf59d0

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

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source=pdf_text observed=2026-08-07T14:12:56.706569Z digest=sha256:13ed29fa4bc51c481cf2032dcc54cb28e5ef959074c2b91219a75e292aab0d49

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

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source=pdf_text observed=2026-08-07T14:12:56.748929Z digest=sha256:bc498a659bd8636250ccf82f5ec534916ada2b6b68d4d23c72eb5d47629d5c79

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:12:56.794136Z digest=sha256:4f97181b5ec7e3ca062834372d7f6139569b3ccb328540753b271b0bc18698ce

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

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source=pdf_text observed=2026-08-07T14:12:56.842813Z digest=sha256:e7b9556a77fd283c3d370d663ad32e16b377cfcf2b3f6b22d6e7aa18410548ec

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:56.890263Z digest=sha256:eab177d2b211af913fcf742b3f2acd546e3210b6903a148e40b50349117b2742

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

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source=pdf_text observed=2026-08-07T14:12:56.950588Z digest=sha256:32312d9b92064d6ad397ade89448f79ded9209f10f3562a672eaf455c1fc5e64

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:57.004492Z digest=sha256:4a196b291a2127cad08f7ccc791850052793c87a900e25f6ccf687132ce6dd63

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:57.048514Z digest=sha256:46d6ef66da0571deafedd2ab989ea95d26d705ac87a4a38ea343358b67c5473b

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:57.113355Z digest=sha256:cd544aa16e70960a2b9b21fc206c0f443df19c803eb0a7d777b9ed99acf3f2c0

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

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source=pdf_text observed=2026-08-07T14:12:57.166663Z digest=sha256:5840b229abe4affab194668270856c5c5e716d264177a73b8f2812ad9a3af10e

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:57.206251Z digest=sha256:82898c7dde7d4bf84f7bfb173af515c851a27129fd4343dd2812dcfa080d46ba

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

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source=pdf_text observed=2026-08-07T14:12:57.229939Z digest=sha256:95e5ac2fa7a0bda9e8a840a02a66e5e027745289d19a3b4d5b3266606bfaed61

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

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source=pdf_text observed=2026-08-07T14:12:57.316959Z digest=sha256:15c703d7f70224f5d85ecadf6b519e2321cffcbd87dfefde8deff2db74273c19

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

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source=pdf_text observed=2026-08-07T14:12:57.417805Z digest=sha256:34d980fd1ec0e923d50f65d556b8310be0430790afc2e0851853f088514219bf

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

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source=pdf_text observed=2026-08-07T14:12:57.458978Z digest=sha256:e6f06437d85289aef0271ff64c41976825e83e1b7c40eb59f7305831283b785a

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:57.525470Z digest=sha256:d7dccdb06e787c0f567705be804a33164a39057e694401f3649be1efc4044170

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

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source=pdf_text observed=2026-08-07T14:12:57.595178Z digest=sha256:bf2920dc13cffef401bfb3ede710403d6a879cc9ff903093eb659a32883fc34b

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

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raw_fallback, observed 2026-08-07T14:13:01.524902Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:57.664259Z digest=sha256:9ab8b769f189e22271ec033ce725b89afc3bbf301ce622fddfa818ba57c5e8d4

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:57.752008Z digest=sha256:bba81ede27fc627122aa3dda44af9035ed22058cd90aba39e6c61d6bd7921a37

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

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raw_fallback, observed 2026-08-07T14:13:01.013875Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:57.852215Z digest=sha256:5b387a323d1ae174fa6ea456bd3a1e03e032d42024e42cd75635a123bb13a683

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:57.930141Z digest=sha256:490fe76bc86fcd62ea92450b8005fb9eae0bf56765c73dec8539f02cf1178c8e

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

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source=pdf_text observed=2026-08-07T14:12:58.031797Z digest=sha256:0fc25b237987d3b9774ad75dd28dd27c7d44f4652bb8ef15a5e99e317fa0ba4e

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

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source=pdf_text observed=2026-08-07T14:12:58.114630Z digest=sha256:2d9ebcef20446bbafbf2338d60a40dc080ecad7e6273c2993d34a0a76e3185ce

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

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source=pdf_text observed=2026-08-07T14:12:58.199587Z digest=sha256:ecaacb5c087a505d09258492f8ba6788639f2bd605787bba50c6614e2d6888a0

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:58.307277Z digest=sha256:ec845fd07c7bf9eae9dfc4c15eb6f003d7f2a84f48d49194118a7f8f34c4a06e

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:58.412542Z digest=sha256:7ae4d670e72a9a5373afaf0953bc1fe8870999db81ba54aa666d24c76f661f64

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:12:58.500855Z digest=sha256:23f90e558e5954ff034888e467665b0a1731cfc904593b449b088cbb9de5932f

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

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arxiv_id, observed 2026-05-10T08:12:26.254257Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:20fcaae0c99fd263f0a4aebfda32da8a0cc9fbb59b93e9caa9b0bc51021a8724

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

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arxiv_id, observed 2026-07-03T04:07:36.666627Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T14:14:38.297507Z digest=sha256:9652866fd2a510d39231df9f77573a5410e2cf16ad168b3f8f0af1f55fd24b24