Paper Citation Record · LEDGER

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference

As of 12 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 4 inbound Pith citation observations for arXiv:2412.14355.

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

pith.paper-citation-record.v1
2412.14355 v1

Coverage vector

measured 100 of 112 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:27:15.062636Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:07:41.420435Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.963553Z

Reference resolution

100 of 112 outbound references displayed

verified exact1
verified fuzzy32
unresolved67
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42676e21-90fe-446a-b0fe-7caeef5aa0e3 · outbound

This paper cites Context-Specific Representation Abstraction for Deep Option Learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Context-Specific Representation Abstraction for Deep Option Learning

Reference 1

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Observation 2d40583f-5efd-4973-89c4-2797ff8d7f54 · outbound

This paper cites Blind decision making: Reinforcement learning with delayed observations.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Blind decision making: Reinforcement learning with delayed observations

Reference 2

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Observation c1e272b4-c239-47b7-a543-dac16b596e68 · outbound

This paper cites Efficient Black-Box Planning Using Macro-Actions with Focused Effects.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Efficient Black-Box Planning Using Macro-Actions with Focused Effects

Reference 3

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Observation 71a818d4-11a9-4253-90f1-49fdedb815e8 · outbound

This paper cites The option-critic architecture.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference The option-critic architecture

Reference 4

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Observation cb1d5fbe-ffbb-4c57-8db9-278b9434b4f8 · outbound

This paper cites Reinforcement learning and its relationship to supervised learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Reinforcement learning and its relationship to supervised learning

Reference 5

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Observation 2f49b150-b874-4263-94a8-1a251ed295f8 · outbound

This paper cites Continual Learning with Self-Organizing Maps.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Continual Learning with Self-Organizing Maps

Reference 6

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Observation 44fa17d6-3c07-4c5b-a62d-c1df64154080 · outbound

This paper cites The arcade learning environment: An evaluation platform for general agents.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference The arcade learning environment: An evaluation platform for general agents

Reference 7

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Observation 194ed486-1d2b-4673-856e-269f0e3f2f01 · outbound

This paper cites Dynamic programming and optimal control.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Dynamic programming and optimal control

Reference 8

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Observation 169d906c-f333-4347-81e7-2436fe8d4bd7 · outbound

This paper cites Reinforcement learning with random delays.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Reinforcement learning with random delays

Reference 9

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Observation 9ca0c860-d6c6-4694-91d8-ab7882b8eee4 · outbound

This paper cites OpenAI Gym.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference OpenAI Gym

Reference 10

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Observation 94faf705-8ed9-472e-8412-03dfeaa07b3e · outbound

This paper cites Recursive routing networks: Learning to compose modules for language understanding.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Recursive routing networks: Learning to compose modules for language understanding

Reference 11

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Observation 7fa4cb4a-60de-4f4e-aa8f-93d6caa884e9 · outbound

This paper cites Automatically composing representation transformations as a means for generalization.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Automatically composing representation transformations as a means for generalization

Reference 12

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Observation e13ebc03-b3e9-4807-9a19-daf62942e8f0 · outbound

This paper cites Leveraging procedural generation to benchmark reinforcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Leveraging procedural generation to benchmark reinforcement learning

Reference 13

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Observation 4d3f0895-871a-4fdf-b5bc-65912eb48c3f · outbound

This paper cites Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning

Reference 14

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Observation c5bb3772-46e2-4d74-a958-0bbc51ab575e · outbound

This paper cites PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences

Reference 15

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Observation a5ab8989-f0ae-474b-b522-f621be23ba0f · outbound

This paper cites Acting in delayed environments with non- stationary markov policies.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Acting in delayed environments with non- stationary markov policies

Reference 16

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Observation 13629a57-e29b-42a8-82e6-c075bb028faa · outbound

This paper cites Acting in Delayed Environments with Non-Stationary Markov Policies.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Acting in Delayed Environments with Non-Stationary Markov Policies

Reference 17

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Observation 9a191e21-725c-4ed0-84e0-d800acdd5bb8 · outbound

This paper cites Contextual Moral Value Alignment Through Context-Based Aggregation.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Contextual Moral Value Alignment Through Context-Based Aggregation

Reference 18

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Observation 349b4bff-0547-47b2-b915-dff83405b97e · outbound

This paper cites Challenges of Real-World Reinforcement Learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Challenges of Real-World Reinforcement Learning

Reference 19

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Observation de3df47f-eebc-44f7-91e5-a27c6e7581bf · outbound

This paper cites Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:14.725578Z

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Observation 5964f396-5f02-4494-bdd0-58bd445fade2 · outbound

This paper cites Reducing the cost of cycle-time tuning for real-world policy optimization.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Reducing the cost of cycle-time tuning for real-world policy optimization

Reference 21

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Observation bd75baed-9b4d-4d18-bd29-8cdae67d2fd8 · outbound

This paper cites Learning with opponent-learning awareness.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Learning with opponent-learning awareness

Reference 22

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Observation ae080094-a2fb-47da-9889-ea18ad9ee9f4 · outbound

This paper cites Dice: The infinitely differentiable monte carlo estimator.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Dice: The infinitely differentiable monte carlo estimator

Reference 23

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Observation 44b7e040-700e-49f0-b4d5-552a23d47862 · outbound

This paper cites Harris, K.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Harris, K

Reference 24

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Observation 32d673fd-24fd-4d52-a0d1-eefa674a9b93 · outbound

This paper cites Alexandria: Extensible framework for rapid exploration of social media.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Alexandria: Extensible framework for rapid exploration of social media

Reference 25

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Observation 31f3d686-b03c-4046-b10b-e6d213177db5 · outbound

This paper cites Rainbow: Combining improvements in deep reinforcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Rainbow: Combining improvements in deep reinforcement learning

Reference 26

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Observation e05a2e96-ad17-4189-9bbb-1a27e0d81f16 · outbound

This paper cites Texplore: real-time sample-efficient reinforcement learning for robots.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Texplore: real-time sample-efficient reinforcement learning for robots

Reference 27

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Observation df57cb1f-6ff2-4986-8d33-09c9f3979804 · outbound

This paper cites A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control

Reference 28

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Observation ddfbd057-651a-47f1-8fd8-5b95952d4372 · outbound

This paper cites Rtmba: A real-time model-based reinforce- ment learning architecture for robot control.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Rtmba: A real-time model-based reinforce- ment learning architecture for robot control

Reference 29

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Observation 7442c6fd-60dc-48e6-bb1b-14d483ec7761 · outbound

This paper cites Why can a machine beat mario but not pokemon?, 2018.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Why can a machine beat mario but not pokemon?, 2018

Reference 30

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Observation 5c27494a-714e-4e5c-9bf3-44bb2e3c7c28 · outbound

This paper cites Near-optimal regret bounds for reinforcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Near-optimal regret bounds for reinforcement learning

Reference 31

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Observation 26401b76-537f-4e1e-918b-704f6422f873 · outbound

This paper cites Is q-learning provably efficient? Advances in neural information processing systems, 31, 2018.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Is q-learning provably efficient? Advances in neural information processing systems, 31, 2018

Reference 32

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Observation 77b41dbe-7544-4752-ba91-7b270144b7ad · outbound

This paper cites Is pessimism provably efficient for offline rl? In International Conference on Machine Learning, pp.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Is pessimism provably efficient for offline rl? In International Conference on Machine Learning, pp

Reference 33

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Observation 3ce58390-5d87-474e-be42-7def0c668028 · outbound

This paper cites Scaling Laws for Neural Language Models.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Scaling Laws for Neural Language Models

Reference 34

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Observation dbe37a15-1d70-4757-a357-4888eb7480a7 · outbound

This paper cites Reinforcement Learning from Delayed Observations via World Models.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Reinforcement Learning from Delayed Observations via World Models

Reference 35

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Observation 83d15995-a8ea-4f7e-862d-cb6cada52e74 · outbound

This paper cites Dynamic decision frequency with continuous options.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Dynamic decision frequency with continuous options

Reference 36

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Observation b108ebf0-0d82-4fef-84d9-30830ab0c2f4 · outbound

This paper cites Markov decision processes with delays and asynchronous cost collection.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Markov decision processes with delays and asynchronous cost collection

Reference 37

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Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Domain scoping for subject matter experts

Reference 38

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This paper cites Towards Continual Reinforcement Learning: A Review and Perspectives.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Towards Continual Reinforcement Learning: A Review and Perspectives

Reference 39

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Observation f89c5bb1-9424-4a4e-9165-ed4f06ed33b1 · outbound

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Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Learning Hierarchical Teaching Policies for Cooperative Agents

Reference 40

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This paper cites Hetero- geneous knowledge transfer via hierarchical teaching in cooperative multiagent reinforcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Hetero- geneous knowledge transfer via hierarchical teaching in cooperative multiagent reinforcement learning

Reference 41

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Observation fb8f1726-d4f6-4b65-be0a-8faa5e205f36 · outbound

This paper cites A policy gradient algorithm for learning to learn in multiagent reinforcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference A policy gradient algorithm for learning to learn in multiagent reinforcement learning

Reference 42

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Observation c91f14d2-e8b4-45e4-beee-7d5e60eefea8 · outbound

This paper cites Influencing long-term behavior in multiagent reinforcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Influencing long-term behavior in multiagent reinforcement learning

Reference 43

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Observation f8edd0f0-d037-4b0a-ba5f-578cc6f92c37 · outbound

This paper cites Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria

Reference 44

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Observation f3f95e65-dbf7-4896-9c0b-d4c1037673de · outbound

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Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Overcoming catastrophic forgetting in neural networks

Reference 45

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This paper cites A Study of Compositional Generalization in Neural Models.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference A Study of Compositional Generalization in Neural Models

Reference 46

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This paper cites Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming

Reference 47

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This paper cites Asynchronous coagent networks.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Asynchronous coagent networks

Reference 48

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Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Conservative q-learning for offline reinforcement learning

Reference 49

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Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Slow learners are fast

Reference 50

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Observation e0c1c3ec-0f47-4c65-8a31-424bfcf47cc8 · outbound

This paper cites Emergent Multi-Agent Communication in the Deep Learning Era.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Emergent Multi-Agent Communication in the Deep Learning Era

Reference 51

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This paper cites Towards a unified theory of state abstraction for mdps.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Towards a unified theory of state abstraction for mdps

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.267152Z

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Observation 9cfd5235-f7a9-4961-8853-88dbcd0b95be · outbound

This paper cites Learning without forgetting.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Learning without forgetting

Reference 53

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Observation 1582e272-c6d7-4a8f-abc4-230e35e0d5be · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Multi-agent actor-critic for mixed cooperative-competitive environments

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:14.867203Z

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Observation 83d5a837-bfa6-42b4-afb4-64e1c7438229 · outbound

This paper cites Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:14.871555Z

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Observation 94d8b9ad-6844-4c6f-9212-bff1a9880467 · outbound

This paper cites Deep RL With Information Constrained Policies: Generalization in Continuous Control.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Deep RL With Information Constrained Policies: Generalization in Continuous Control

Reference 56

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This paper cites Rl generalization in a theory of mind game through a sleep metaphor (student abstract).

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Rl generalization in a theory of mind game through a sleep metaphor (student abstract)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.234368Z

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Observation dd9c3ceb-76a4-4441-8896-0a1dd9f94a43 · outbound

This paper cites Capacity-limited decentralized actor-critic for multi-agent games.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Capacity-limited decentralized actor-critic for multi-agent games

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.218789Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ba88cb19-9bf8-4ee1-bb5c-4eb1ccd6af90 · outbound

This paper cites Learning in Factored Domains with Information-Constrained Visual Representations.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Learning in Factored Domains with Information-Constrained Visual Representations

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:14.889666Z

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Observation a854065a-249f-4f60-9250-b92a158ff0a5 · outbound

This paper cites Summarizing societies: Agent abstraction in multi-agent reinforcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Summarizing societies: Agent abstraction in multi-agent reinforcement learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.203318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6003dc43-48a3-468a-a42c-c6d92c295c64 · outbound

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

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Human-level control through deep reinforcement learning

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:14.898919Z

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Observation 92b42fe9-2d7c-4243-a275-2cb75521561a · outbound

This paper cites Asynchronous methods for deep rein- forcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Asynchronous methods for deep rein- forcement learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.179908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2142e7b2-56ac-4c58-b245-0f0f934c1885 · outbound

This paper cites Revisiting state augmentation methods for reinforcement learning with stochastic delays.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Revisiting state augmentation methods for reinforcement learning with stochastic delays

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.166795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e40cf72f-80c2-46b5-9dc1-fa4dfa0c973f · outbound

This paper cites Gotta Learn Fast: A New Benchmark for Generalization in RL.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Gotta Learn Fast: A New Benchmark for Generalization in RL

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:14.915508Z

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Observation 964a3708-080b-4a5f-a9a7-fc1e0e337a40 · outbound

This paper cites Sequoia: A Software Framework to Unify Continual Learning Research.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Sequoia: A Software Framework to Unify Continual Learning Research

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:14.920225Z

Source-reported events for the cited work

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Observation 365efc24-4f5c-449d-a27c-1caf5bfdf147 · outbound

This paper cites Learning to teach in cooperative multiagent reinforcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Learning to teach in cooperative multiagent reinforcement learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.153483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e3e178e2-fdde-4391-b71d-ec5b3c533ade · outbound

This paper cites Regret bounds for reinforcement learning via markov chain concentration.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Regret bounds for reinforcement learning via markov chain concentration

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.139550Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bc55efdd-e18d-40fb-939d-a23595e4aaa8 · outbound

This paper cites Comvas: Contextual moral values alignment system.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Comvas: Contextual moral values alignment system

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.125714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 59619b19-2fa8-47ec-a564-554197c1acd5 · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Pytorch: An imperative style, high- performance deep learning library

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.112292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 485f0c2d-b6fc-4abc-8224-c807355768e4 · outbound

This paper cites Markov decision processes.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Markov decision processes

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.098346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ef4834a4-75a3-47de-baaa-43a96a653fe1 · outbound

This paper cites Machine theory of mind.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Machine theory of mind

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.085394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 00ffd810-928e-42fc-9160-d50b7f54943a · outbound

This paper cites Real-time reinforcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Real-time reinforcement learning

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.071913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1e513550-13ed-4c87-b0c2-2f7096b92e2f · outbound

This paper cites Distributed computing in social media analytics.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Distributed computing in social media analytics

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.058272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3f30e355-d817-4ef3-84d7-3090c89a9d9c · outbound

This paper cites A deep learning and knowledge transfer based architecture for social media user characteristic determination.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference A deep learning and knowledge transfer based architecture for social media user characteristic determination

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.044082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5b830176-b8e6-4551-ad81-f577447ab746 · outbound

This paper cites Correcting forecasts with multifactor neural attention.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Correcting forecasts with multifactor neural attention

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.029248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 61a8096b-df49-4e8e-b248-36f0d219153e · outbound

This paper cites Generative knowledge distillation for general purpose function compression.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Generative knowledge distillation for general purpose function compression

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.015456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a8f8927e-63b9-4476-9df8-0f23708c9c8e · outbound

This paper cites Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Representation Stability as a Regularizer for Improved Text Analytics Transfer Learning

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:14.968725Z

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Observation e1a0638b-e413-4d87-8941-44a12c08e55b · outbound

This paper cites Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:14.973031Z

Source-reported events for the cited work

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Observation 95d8d66a-5b04-40f3-8c63-3f20f3521bda · outbound

This paper cites Learning abstract options.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Learning abstract options

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:16.001919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4c844ca2-6768-4694-a8a8-e9fc22383800 · outbound

This paper cites Scalable recollections for continual lifelong learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Scalable recollections for continual lifelong learning

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.987843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3d37eb38-8477-48fb-a9ba-f9312bedacf3 · outbound

This paper cites On the role of weight sharing during deep option learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference On the role of weight sharing during deep option learning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.973742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0738d394-5aa3-4e8e-9362-4cfc7fa0009c · outbound

This paper cites Continual learning in environments with polynomial mixing times.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Continual learning in environments with polynomial mixing times

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.954100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 35cb7252-1ffa-4c2b-85ff-a4fa89b20e2c · outbound

This paper cites Balancing context length and mixing times for reinforcement learning at scale.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Balancing context length and mixing times for reinforcement learning at scale

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.940664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 45d37930-939e-46b0-8809-2d22b0d76147 · outbound

This paper cites Realtime reinforcement learning: Towards rapid asynchronous deployment of large models.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Realtime reinforcement learning: Towards rapid asynchronous deployment of large models

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.926945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14ae1d6f-3604-4a1e-8a74-3eff9f09b904 · outbound

This paper cites Routing networks: Adaptive selection of non-linear functions for multi-task learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Routing networks: Adaptive selection of non-linear functions for multi-task learning

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.912708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8c2b864e-8597-455f-a980-70684bf74bfb · outbound

This paper cites Dispatched routing networks.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Dispatched routing networks

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.897118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f9594823-3c5d-4c40-9b8e-d448449301d9 · outbound

This paper cites Routing Networks and the Challenges of Modular and Compositional Computation.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Routing Networks and the Challenges of Modular and Compositional Computation

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:15.010184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f4188cf-bed3-4482-a278-a647c36e1b64 · outbound

This paper cites Control delay in reinforcement learning for real-time dynamic systems: A memoryless approach.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Control delay in reinforcement learning for real-time dynamic systems: A memoryless approach

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.882923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3f84a9fa-23e7-4b1a-bf67-d66d1b12ef4f · outbound

This paper cites Proximal Policy Optimization Algorithms.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Proximal Policy Optimization Algorithms

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:15.018952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55e8fdd2-de7d-425c-b16e-e8b46d8855e4 · outbound

This paper cites Bigger, better, faster: Human-level atari with human-level efficiency.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Bigger, better, faster: Human-level atari with human-level efficiency

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.868449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b7ca989e-4e7b-4154-9904-c9d6755c90e7 · outbound

This paper cites Pokémon red/blue/rng manipulation faq, 2020.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Pokémon red/blue/rng manipulation faq, 2020

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.855244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5604b39a-e6e6-4edd-ae16-9714f802bc66 · outbound

This paper cites Pokemon red/blue leaderboard, 2024.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Pokemon red/blue leaderboard, 2024

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.841314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 34eefcfc-d87e-45bb-b237-007c867ccbbd · outbound

This paper cites Reinforcement learning: An introduction.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Reinforcement learning: An introduction

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:15.034810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75eb3a9b-b0f5-4a05-996a-bf558d451f03 · outbound

This paper cites Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:15.038803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e576380-2621-4e92-8b46-1f5e3252e11b · outbound

This paper cites Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Horde: A scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.808522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5647d77d-8fcb-4be3-9ed2-b50b3c8d46ed · outbound

This paper cites A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:15.046470Z

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Observation 0bc06504-d1ea-4892-811f-4bd2bfe5d1cf · outbound

This paper cites Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:15.050862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5b35cfe-96bd-4be9-b3c7-92771cc55c1a · outbound

This paper cites an unresolved cited work.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:27:15.794586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3db06a8e-4974-486a-be49-7b6f79c7b686 · outbound

This paper cites Scalable approaches for a theory of many minds.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Scalable approaches for a theory of many minds

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:27:15.781218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 80348ff6-5ca7-4d79-86b4-96438e8153d7 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-11T12:27:15.062636Z

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Pith citing papers

Observation de804997-082a-43ea-92b9-a3953a2a84a2 · inbound

Position: Theory of Mind Benchmarks are Broken for Large Language Models cites this paper.

Position: Theory of Mind Benchmarks are Broken for Large Language Models Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T00:07:41.420435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a2b46ba-fbf4-420c-bf80-95161b1c80c2 · inbound

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms cites this paper.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.993979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e89106f-9536-49e9-9b41-6d31c9ab3a81 · inbound

Finding the Time to Think: Learning Planning Budgets in Real-Time RL cites this paper.

Finding the Time to Think: Learning Planning Budgets in Real-Time RL Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:29:51.964800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 20e97d7f-8c81-448b-9e81-6fec7a9ca9ef · inbound

Finding the Time to Think: Learning Planning Budgets in Real-Time RL cites this paper.

Finding the Time to Think: Learning Planning Budgets in Real-Time RL Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:34:34.896004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.