Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T08:54:38.246078Z
Paper Citation Record · LEDGER
As of 24 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2606.22813.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T08:54:38.246078Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1d80941c-6e07-4250-864b-722c4f126fa9 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Artificial general intelligence (AGI)-native wireless systems: A journey beyond 6G,
Reference 1
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Observation fdf07c62-bced-4aeb-a8d3-d2a5cc5bda8b · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Waymos blocked roads and caused chaos during San Francisco power outage,
Reference 2
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Observation 1da52061-a3d1-42b2-812a-dea53ae52b37 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents World Models
Reference 3
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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ad00ab47-9fb5-4ff7-bf20-ea03a2b4c738 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Kahneman,Thinking, fast and slow
Reference 4
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Observation 94335d87-2fc9-43d3-95b8-0b31b64130ac · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27,
Reference 5
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Observation dc98e808-d87b-4260-a3b8-a50d9007f078 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects,
Reference 6
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Observation eeb7e0fc-abb8-4e36-8044-6bb3cab3b465 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Active inference: a process theory,
Reference 7
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Observation 6dcde331-c5e3-4070-b05e-2c76acbc6eb9 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Dissipative structures in biological systems: bistability, oscillations, spatial patterns and waves,
Reference 8
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Observation e60133d7-5b0c-4716-98dd-5828732ca79f · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents (2026).Active Inference for Physical AI Agents – An Engineering Perspective
Reference 9
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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1e0233ae-30de-4029-86a0-b081b768827e · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Life as we know it,
Reference 10
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Observation be92f8df-4cec-48dc-a4ef-4fef145a2ef8 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Challenges of real-world reinforcement learning: definitions, benchmarks and analysis,
Reference 11
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Observation fd624367-f505-471f-bf28-7038bc44a2c2 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Unresolved cited work
Reference 12
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Observation b2b53939-a852-4d6f-8567-ec5a9406d0a5 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
Reference 13
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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8b184f22-f0d9-4469-91ff-a91b9ed3a483 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Mindjourney: Test-time scaling with world models for spatial reasoning,
Reference 14
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Unavailable: canonical work link unavailable.
Observation 40e55858-4f66-4feb-a9df-6f42d57eeaf0 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents π 0.7: a steerable generalist robotic foundation model with emergent capabilities,
Reference 15
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Unavailable: canonical work link unavailable.
Observation 22816f3e-3824-4224-86ea-b36294244170 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ffd8ab1a-35dc-4927-ae05-8c27379f1326 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents The markov blankets of life: autonomy, active inference and the free energy principle,
Reference 17
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Unavailable: canonical work link unavailable.
Observation 1a07d237-7d41-4e96-a4f1-56708609fc57 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents A neural substrate of prediction and reward,
Reference 18
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Unavailable: canonical work link unavailable.
Observation 38aea660-2ab6-4055-8726-db1d173b1345 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Training Compute-Optimal Large Language Models
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 29d3a5e4-c54f-444b-b5fa-202d87cef81e · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Scaling Laws for Neural Language Models
Reference 20
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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fa440d8a-4800-426d-93bb-fe516edeab61 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Reference 21
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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 64be20da-0dd8-4e39-b24e-d48c65d3c51a · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Toward causal representation learning,
Reference 22
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Unavailable: canonical work link unavailable.
Observation 4f93d469-2ecd-45bd-b631-148e043dceaa · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents From passive mirrors to active agents: Holonic digital twins for physical artificial intelligence over networks,
Reference 23
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Unavailable: canonical work link unavailable.
Observation e11d2785-1749-4b13-8a8a-c26fdbfca9de · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Robust agents learn causal world models,
Reference 24
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Observation 667530d3-117b-4e42-9474-20fa4dbdb3ea · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Bayesian surprise attracts human attention,
Reference 25
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Unavailable: canonical work link unavailable.
Observation 00821871-d45d-4966-8b52-55e6871ccb7c · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents The free-energy principle: a unified brain theory?
Reference 26
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Unavailable: canonical work link unavailable.
Observation 815fe207-b9a2-44f0-9a79-078da9c8e8d7 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Unresolved cited work
Reference 27
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Unavailable: canonical work link unavailable.
Observation e4108b78-8ade-40f7-93d6-86ad91c00ab7 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Path integrals, particular kinds, and strange things,
Reference 28
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Unavailable: canonical work link unavailable.
Observation cbfd0116-9d26-49de-aefb-0f76176a8a49 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Evidence for surprise minimization over value maximization in choice behavior,
Reference 29
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Unavailable: canonical work link unavailable.
Observation 3300e92b-fc46-4d8d-aabe-e87ccc95c0f9 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Pearl,Probabilistic reasoning in intelligent systems: networks of plausible inference
Reference 30
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Unavailable: canonical work link unavailable.
Observation c79b6ccb-f795-4780-82c2-060948937e1c · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents The mathematics of changing one’s mind, via jeffrey’s or via pearl’s update rule,
Reference 31
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Unavailable: canonical work link unavailable.
Observation 50b5a88c-b389-4353-9c7d-7afba35ab124 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Unresolved cited work
Reference 32
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Unavailable: canonical work link unavailable.
Observation fef92f1e-98fe-40db-b5ae-07c59da750dc · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Human-level control through deep reinforcement learning,
Reference 33
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Unavailable: canonical work link unavailable.
Observation 86959a2f-b9df-4eca-a23d-2aa079c84d35 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Optimizing for the future in non- stationary mdps,
Reference 34
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Unavailable: canonical work link unavailable.
Observation a2aad4a9-423d-4df9-b6c1-47d5360bd82f · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents A tutorial on energy-based learning,
Reference 35
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Unavailable: canonical work link unavailable.
Observation 2f984965-eca4-4c4f-839c-71057cce7a8c · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents An introduction to variational methods for graphical models,
Reference 36
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Unavailable: canonical work link unavailable.
Observation 3e32a461-ed03-4ff8-9faf-455a6a1abf44 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Graphical models, exponential families, and variational inference,
Reference 37
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Unavailable: canonical work link unavailable.
Observation d3f999a8-c7f2-4bcc-8739-156bc6cedf58 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Variational message passing
Reference 38
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Observation 3c830c3b-8958-4dcd-92ee-3895bb36efe0 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Auto-Encoding Variational Bayes
Reference 39
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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation da23e6a2-4151-488e-99cf-8ef4c8cc6a49 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents A step-by-step tutorial on active inference and its application to empirical data,
Reference 40
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Unavailable: canonical work link unavailable.
Observation 249db3f2-8da4-4024-8626-10cc330bb7a0 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Codes on graphs: Normal realizations,
Reference 41
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Observation e84ee151-cf62-440f-9d89-43a2f503ef53 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Unresolved cited work
Reference 42
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Observation 64fe366f-9f65-4747-9b02-7c400fcdcfdb · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Whence the expected free energy?
Reference 43
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Observation e8bc88e3-c5a3-4393-a40e-e5665519f456 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Koller and N
Reference 44
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Observation 5f739c0e-11da-4920-b9bc-efcf81d49c42 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Bayesian mechanics for stationary processes,
Reference 45
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Observation b43bfff9-1e62-4bd9-a441-a7c971a7e3ec · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents On markov blankets and hierarchical self-organisation,
Reference 46
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Observation 327c19c5-132f-4f61-9f65-46f257a1dbbb · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Nonlinear kinetics on lattices based on the kinetic interaction principle,
Reference 47
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Unavailable: canonical work link unavailable.
Observation 50edc08a-b477-49d1-9358-874a10a169f7 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Cognitive dynamics: From attractors to active inference,
Reference 48
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Observation 5e37cd61-8b28-49d6-819e-4c4472569641 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Welcome to the era of experience,
Reference 49
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Observation 9160b45b-93f0-4752-ae48-f0d68bf5c71e · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Active inference on discrete state-spaces: A synthesis,
Reference 50
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Observation 6164a644-1fd5-416e-965e-d1fc003b8eff · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Dupoux, Y
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 78abb40c-506d-4f86-ab58-9400a18e2ce4 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents Edge continual learning for dynamic digital twins over wireless networks,
Reference 52
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Unavailable: canonical work link unavailable.
Observation 248c5ff8-6baa-4e38-8a8e-441dbe44d404 · outbound
Active Inference as the Test-Time Scaling Law for Physical AI Agents The neural basis of the speed–accuracy tradeoff,
Reference 53
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No inbound Pith citation observations are available.