Paper Citation Record · LEDGER

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:1802.01561.

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

pith.paper-citation-record.v1
1802.01561 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:54:49.069229Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T14:09:52.701191Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 01cb16bc-ee80-47b5-8119-b8eecee0f75e · inbound

Shaping Belief States with Generative Environment Models for RL cites this paper.

Shaping Belief States with Generative Environment Models for RL IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-25T18:57:06.758886Z

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 8d9172cd-bbb9-4d08-acab-e7bd88f61f5e · inbound

Growing Action Spaces cites this paper.

Growing Action Spaces IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-25T13:25:52.358606Z

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 e6691caa-35d9-48f6-a089-98eb4e6a0373 · inbound

Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints cites this paper.

Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-24T23:15:03.078689Z

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 93d6e0d7-947c-457a-a553-f5a87b26683d · inbound

Dream to Control: Learning Behaviors by Latent Imagination cites this paper.

Dream to Control: Learning Behaviors by Latent Imagination IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:16:36.481403Z

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 c641b33c-8e7f-405f-acf7-910c8374e3f7 · inbound

Dota 2 with Large Scale Deep Reinforcement Learning cites this paper.

Dota 2 with Large Scale Deep Reinforcement Learning IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:18:15.786172Z

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 01b67e85-c8f9-4bd1-bfe4-702ab7aaa0ce · inbound

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 295

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:33:21.664988Z

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 6620b507-68df-41b9-95ea-d3089bcdcfce · inbound

Mastering Diverse Domains through World Models cites this paper.

Mastering Diverse Domains through World Models IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 66

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T09:08:21.921972Z

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 30932dcd-0afc-4cf7-b23d-1156aedd7cc6 · inbound

Bilinear Convolution Decomposition for Causal RL Interpretability cites this paper.

Bilinear Convolution Decomposition for Causal RL Interpretability IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T04:54:49.069229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9b4180-c2af-4ab1-9420-7e91d9c3ec09 · inbound

Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Data cites this paper.

Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Data IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T16:48:42.955351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6467b71b-4615-43d1-9bfb-192d6363263d · inbound

Divergence-Augmented Policy Optimization cites this paper.

Divergence-Augmented Policy Optimization IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-10T14:46:40.896067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03d0c68a-fe9d-415c-a8ea-b0196c1bf0c6 · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 257

Resolution: unresolved; no resolver link, observed 2026-08-07T15:24:07.347431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a90ddc6-33be-42a8-bfe5-3425ed2a759d · inbound

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution cites this paper.

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:31.462520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac34978-7ca8-41c5-85b1-5523b877bc77 · inbound

Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNN cites this paper.

Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNN IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T04:42:27.819005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24d7b1a2-8640-4d15-aa2a-d20528885b22 · inbound

M3PO: Massively Multi-Task Model-Based Policy Optimization cites this paper.

M3PO: Massively Multi-Task Model-Based Policy Optimization IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:50.021754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8e162b0-6260-4029-9169-179e10bf90f1 · inbound

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies cites this paper.

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 142

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:10:42.435634Z

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 c400599a-47be-4c03-b5fc-8696aad2b151 · inbound

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies cites this paper.

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:05:09.721995Z

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 f0b3a030-5ac9-4eed-9226-7b1e879ead9e · inbound

Approximate Next Policy Sampling: Replacing Conservative Target Policy Updates in Deep RL cites this paper.

Approximate Next Policy Sampling: Replacing Conservative Target Policy Updates in Deep RL IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:56:05.312851Z

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 67e90f2d-fd7c-4ba9-8993-fba9c2b4e2b9 · inbound

Approximate Next Policy Sampling: Replacing Conservative Target Policy Updates in Deep RL cites this paper.

Approximate Next Policy Sampling: Replacing Conservative Target Policy Updates in Deep RL IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T23:45:08.134398Z

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 795112a6-2e44-45b6-a3e3-63ce5fd9bae1 · inbound

Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models cites this paper.

Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:07:26.508407Z

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 e784af15-4b08-43b3-987b-f5840a9852cf · inbound

Bridging Performance and Generalization in Reinforcement Learning for Agile Flight cites this paper.

Bridging Performance and Generalization in Reinforcement Learning for Agile Flight IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-04T14:09:52.702576Z

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 5f4ac08a-1039-44ae-9c64-b296258edbab · inbound

Retroactive Advantage Correction: Closed-Form V-Trace Bias Correction for Delay-Aware RLHF cites this paper.

Retroactive Advantage Correction: Closed-Form V-Trace Bias Correction for Delay-Aware RLHF IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:55:58.783845Z

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 0374c552-206a-49c1-b20c-2af14c8ba37e · inbound

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning cites this paper.

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T07:56:35.435467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.