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Paper Citation Record · LEDGER

Deep Active Inference Agents for Delayed and Long-Horizon Environments

As of 18 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 3 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 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:26:38.160531Z

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:b08f48b62d7d2fce6c94f6592448f2dd1e77ce32a4d1c770681f0f69535ea807

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

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source=pdf_text observed=2026-08-07T14:12:45.531447Z digest=sha256:252b48b304249f4b6e905b832a3fd4b12232ec2f30bf2521f7b293bca2410f7d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:45.630949Z digest=sha256:5d007cb7e5d2daa9de4ff3279ad428d61795f1197d4c01c53c156c9920ef8903

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=sha256:91ec64c0520a545d9f5d95eb64b1075f487842e38f38b18a5fbda872a5441925

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:53.106994Z digest=sha256:47812497089a59253ee106c91b7bbea224e01dee9f8d1c6197cbd8edaa9c94bf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:53.234530Z digest=sha256:f899fec2dc23b92542083027f67c1eea806a5c801b47f9e42d76b1bb5e8bc819

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:53.352326Z digest=sha256:a662ef2e24c183d33d6fbbe179bc7a80d3f250f0357e764d945923527184d352

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:53.460001Z digest=sha256:9ac1a1bb5af61daa6cf10ee6218355bb8b185712d423005fc78b486c8b2cde32

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=sha256:9d8d9312b9cdf72e9c13bd254715d50b52df8556d3714cbbf80fabcb1174f00e

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:12:53.707050Z digest=sha256:2fc3dfa2c0ebe3c812314b4848990abe78ef870025f046511cd463d72de3573f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:53.817662Z digest=sha256:2f36ced7b869943c4d71bbf031532d9a9d556a2802effb311863cb05e8410355

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:53.944945Z digest=sha256:527b5a2871e12d649f6d4ea9e29dbcc5ab555de1e79ade59717996d9627d3020

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:54.021368Z digest=sha256:ae25767d33c2389bc40c5e6eae13de9e04e5dab11d01e83132201e66185708f1

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:54.124556Z digest=sha256:e8f7053da22f5c5be277050d5919c297457d84e4ed964a5b447e4deafd8f8319

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=pdf_text observed=2026-08-07T14:12:54.252585Z digest=sha256:7c2a4da76666eee3d046505b07f7900885a9da0ddd7f92a476fd0b4a3eae5cea

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=sha256:508a3ca75cae5a87483f9dc4ea9a87c3c54dd2ac8a4d6d103a51d8bff0d2cc64

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:54.505315Z digest=sha256:a31bd6b1c042f4bb8c6b1585b743f16a13a23fdf0a02bb4386d0c30ce08b3d58

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:54.610316Z digest=sha256:59dc0c4073ad98d9da73d8fb3586d5bae300941abedac6ab2e798699fb510276

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=sha256:2d9239cb9b1e85a74e65e6fcfc57b2b885c4f76496fe1c1d4fb760dbca5c9d50

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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source=pdf_text observed=2026-08-07T14:12:54.821487Z digest=sha256:69cb924157b2d6f11199051b43e8c18b9d22f44f0a503cc3d49ae631b1b5e631

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:cb8ab39021c176889ca8c5b299c17725f8e4a541ad79cc2809e78e7bb29a85f9

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:ff8105a08a6e50be72ce80bd93fcbe7a5014c39ea32714547b2967cad932df1d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:55.134062Z digest=sha256:5f61a44bad345248f5ee0235fb772f9a91e40bfd48ed821dbb396639980c010b

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:55.225477Z digest=sha256:59125e739b22fa7fda4fb34e9247e7600322d0433ad6d2af7518fd4ebfd9caa9

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:55.381013Z digest=sha256:cb2c2df13550808536d5ba6ae8edd06a2ab106ecea18ed8d52b34ca6a7af734c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:55.480358Z digest=sha256:117617e72135853e429a3483921dbb4df2235e0af8438e9b29cab941827f2565

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:55.584591Z digest=sha256:b196b31e7ecdd0445bb0116df345dc3d9f53bc471cd59a6da7c5ecf39d29b3c8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:55.685780Z digest=sha256:84efc5abca5e33780db76aa0fa791723054152c8c7047f17086aef1bbb908639

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:55.815978Z digest=sha256:f6032172db85f44837b29f51b4c6f909dc99618e1eb71910ea8eb4ec336d8145

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:55.946164Z digest=sha256:36df00957cb123028885a744710f37eb97e3b494f35a81a1e8e26636b8591473

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:56.076787Z digest=sha256:d9e798207c7a62afbd3b9d58c1e8df5e2f8ac104c9f562df0a116d748f533ed1

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:56.178060Z digest=sha256:21c55f6a64179409020983c61fbfc92b4c256803c040645706da0d65f5c226dc

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=sha256:36fdb91873b3540cd91dcb26da4b374f291cee8e572e381a81682e84f43c2f16

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:56.487429Z digest=sha256:50f3fc4ca451a826d7ffe23d5543d79d817d1efe21dc354782b01354a04e1367

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:56.585865Z digest=sha256:34a5c3949fb520983aec0c1dc7be042808872edb22dd44d0d89a476615f6ee9a

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=sha256:9c93ce13962faf9a474eb2dc4b834d91f637523aa4277a706ccd70877149e2e8

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=sha256:75e56bb45b677bf338c38e22019bfa23cb1eb52cda05e04f0edd143268b4fde9

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=sha256:219c1fa7e129e8233abdca627bd8f5e10a75f4e0d99d3cfd2739c4802c12ec86

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=sha256:2618dbe4c17772782d939f6d7ce0273f457eb30375a66cf446db71e5a6a1eec7

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=pdf_text observed=2026-08-07T14:12:56.794136Z digest=sha256:032d87b0dae2dee95233f13d984138f5aa9f8a88b032b130d679d2da909d7214

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:f827fe2714c3d437b97198be1076da1ab3bddd8319eaeb946432d7b19f6e9044

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:56.890263Z digest=sha256:63eeaca7465cc6893f17bb639a33d2f39cf34e85c462b447d1fb485cf8fefdb1

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=sha256:4f3b023a58f6320a2beb11bbaa30e0ccb08eede6e60da2cab2807b6ece16cd60

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:57.004492Z digest=sha256:236d09b76176cc15a9717eaec4879a78a1cd0fbd309817c299aa688f61407352

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:57.048514Z digest=sha256:3f4e95f5f19be1b2249ef8f8b24ff80a98394d6e0e706d7461b36b3bf4ea5a42

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:57.113355Z digest=sha256:ba7c82a7de0f522f887414fc89a15821ac4953b5d690b17b89679dd3c92533f7

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=sha256:411457de02ed7d458e58480e918790b68a5a97cdedd07b9aa4bc03b2fbf037aa

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:57.206251Z digest=sha256:c801f4ecffbaff3d4abcaad3293dd1a9fd83c06043dbb9f7f89471d1684ec61a

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=sha256:584d58dfb33a9ef9599746aa8e2b60d2e0ddd489a1bd3cd79f924283f8b01d71

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:e1b913584d79e889735930e4d2cf8cb1cf40d2f36219ff8155311470c2ecddf2

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=sha256:4967258c5a8f9ecfebd9276e37bbb539ea0b8edcf254751b7ef33b96283c8889

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=sha256:377c949455566e79e031925aa3dcf37f1d80113c9d34a17e60dfa7c17f78b2bf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:57.525470Z digest=sha256:48ad475f75989affa8697337fef1a4e41ecdca398ece244980ce21dae3fdc1b6

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=sha256:7b7da1d7c2d51be2365919d9783070ec20965593f5858da8798938dffd63d5c0

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:57.664259Z digest=sha256:ca364150847c83d1889852a47cf291dc01099794c4ea301eeab8766e3ac630db

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:57.752008Z digest=sha256:9d54b2f1be05b1530f37e4645576e9c4aaf730e2a9f52a373021ffc875b66548

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:57.852215Z digest=sha256:2adcd2cad6f7a53faea2639f48f4ff1b64f368a945f0d12cb34ce852248907f0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:57.930141Z digest=sha256:86ed933c179f1f87287e3ea26199d23d6bfbcc70c5e6e7b6c7833eb19330bd21

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=sha256:2a1af90899f50b6f1e0bb48691b856ecea0f2d1d983aa6c3867580548060288f

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=sha256:8bd52d3c56d2a641f482e182444e028b260825fb7cc9a0a16231148660f92967

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=sha256:28e5f06811e6865240d5c53543c91a3d3309080800beeb46d52a850f7187b6e0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:58.307277Z digest=sha256:0a5376e104a7809b0aa9c1dc9bccd9e0b5a35c3e1e5c087dd33d330d48cc0927

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:58.412542Z digest=sha256:27a012f62b1c7b2d496a8a18a0706edce7844fa8124405fcb4f3df25a97b2f05

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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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:12:58.500855Z digest=sha256:9897d47878c1eb04f6df926149a31dec8abc148641dbe0729008a608aaa42eb3

Pith citing papers

Observation 59199873-b975-40b8-b7ee-c436606fc0e6 · inbound

Orchestrator: Active Inference for Multi-Agent Systems in Long-Horizon Tasks cites this paper.

Orchestrator: Active Inference for Multi-Agent Systems in Long-Horizon Tasks Deep Active Inference Agents for Delayed and Long-Horizon Environments

Reference 33

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source=pdf_text observed=2026-08-15T16:26:38.160531Z digest=sha256:65ffad0e9ea2b8ea7d8b498951aa4733a8b844bb33a4ee5af4c512b6cb92ecff

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T08:12:15.663761Z digest=sha256:6b5031fd7837156f809b90e500cfb4edaebd370579c40bc36d289a0737d68244

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T14:14:38.297507Z digest=sha256:bca5e7280d01a126118e19bb7b53f9522a99650ea14c4deee8f796836253d345