Paper Citation Record · LEDGER

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction

As of 17 July 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:1906.09205.

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

pith.paper-citation-record.v1
1906.09205 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T19:05:13.780087Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-17T06:31:00.352745+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact20
verified fuzzy12
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19abec0e-86c6-48a6-aef5-86432f1f6301 · outbound

This paper cites Variational Option Discovery Algorithms.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Variational Option Discovery Algorithms

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.926883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 23631712-647c-422e-83c7-f49165e3d531 · outbound

This paper cites Emergent Complexity via Multi-Agent Competition.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Emergent Complexity via Multi-Agent Competition

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.943025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 3913ab0b-c969-46c0-913f-433745ad9b49 · outbound

This paper cites Bengio, J.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Bengio, J

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.585043Z

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No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 29ca11e8-3b3b-4217-a5f5-296db6f95b2b · outbound

This paper cites Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.948221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 7d747ed9-1658-4d9e-907e-29155e521f07 · outbound

This paper cites HoME: a Household Multimodal Environment.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction HoME: a Household Multimodal Environment

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.983500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 85064ddb-4dc6-408e-93aa-906676eec7ae · outbound

This paper cites an unresolved cited work.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Unresolved cited work

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.600616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 5d7b2448-b3b2-434e-aa2f-a4dfee63a8ee · outbound

This paper cites Diversity is All You Need: Learning Skills without a Reward Function.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Diversity is All You Need: Learning Skills without a Reward Function

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.972898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation ccbee1f1-8d89-4236-bae6-f8e0c6075e73 · outbound

This paper cites PathNet: Evolution Channels Gradient Descent in Super Neural Networks.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.978097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 1bf5cfeb-6d54-423b-b831-bbf2b139e1b6 · outbound

This paper cites François-Lavet, P.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction François-Lavet, P

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.604018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation f7f598ec-18df-4ba9-ba8a-f23ebedc566e · outbound

This paper cites Goodfellow, J.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Goodfellow, J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.591632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation f9d537a7-f132-4967-b526-44949585943a · outbound

This paper cites Variational Intrinsic Control.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Variational Intrinsic Control

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.907950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 14e92d04-108f-4fd2-a2a6-f4964f1f82a5 · outbound

This paper cites Reinforcement Learning with Unsupervised Auxiliary Tasks.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Reinforcement Learning with Unsupervised Auxiliary Tasks

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.999190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation c4455924-5ba1-4a2e-86cf-68efd8cc0f63 · outbound

This paper cites Continual Reinforcement Learning with Complex Synapses.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Continual Reinforcement Learning with Complex Synapses

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.913787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 4e35ff59-08ae-4089-9cbb-700716a26cc4 · outbound

This paper cites Continuous control with deep reinforcement learning.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Continuous control with deep reinforcement learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.932194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 8004413d-ed8e-45f8-b8b7-9924f3f084b2 · outbound

This paper cites Lopez-Paz et al.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Lopez-Paz et al

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.588411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation f4ceaa4d-85c8-4b48-91f1-36f92e044b86 · outbound

This paper cites an unresolved cited work.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Unresolved cited work

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.595839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 16ab20f7-136c-4450-8f74-1146f5ad4d11 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Playing Atari with Deep Reinforcement Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.954594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation e7079742-e129-46e8-92d5-746685360c2c · outbound

This paper cites an unresolved cited work.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Unresolved cited work

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.581580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation da969c94-7876-498c-bab4-ae76800a1f04 · outbound

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

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.961381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation b821fb90-fdc2-44e1-b33c-f22083c685cd · outbound

This paper cites Progressive Neural Networks.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Progressive Neural Networks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.901745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 5db0a806-2a82-4a98-b9e0-7bcaf18c455f · outbound

This paper cites Prioritized Experience Replay.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Prioritized Experience Replay

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.993340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 90c46a59-5507-44ed-a07f-f81b502cc278 · outbound

This paper cites Schulman, S.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Schulman, S

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.606990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 7a4edf01-8e62-4f57-9231-26ce68060ac2 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Proximal Policy Optimization Algorithms

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.967068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation a50c287b-0889-42be-81c8-296961fd320f · outbound

This paper cites Silver, J.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Silver, J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.610517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 37c71489-6159-4790-99e3-71ba07c68c99 · outbound

This paper cites TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.920398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation c5e97c3e-19c8-4fb1-b3d5-505af041e889 · outbound

This paper cites an unresolved cited work.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Unresolved cited work

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.618595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 332c0005-2a74-4d36-ae8f-604ce2cc7cda · outbound

This paper cites an unresolved cited work.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Unresolved cited work

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.622440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 1da3fe04-a7a1-4e8c-96dd-3207e1013801 · outbound

This paper cites DeepMind Control Suite.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction DeepMind Control Suite

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.937336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation fc475484-c79f-4678-a956-514a8026550f · outbound

This paper cites Van Hasselt, A.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Van Hasselt, A

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:06:09.614531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 50d2c42a-9c1a-434e-9eec-99f92023a317 · outbound

This paper cites Deep Reinforcement Learning for Autonomous Driving.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Deep Reinforcement Learning for Autonomous Driving

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.894750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 52d6b2b0-e3da-4cb6-b80f-a8f77f337756 · outbound

This paper cites Dueling Network Architectures for Deep Reinforcement Learning.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Dueling Network Architectures for Deep Reinforcement Learning

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.889174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Observation 10e3d329-a291-4fb4-93c1-795b619403d6 · outbound

This paper cites Building Generalizable Agents with a Realistic and Rich 3D Environment.

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction Building Generalizable Agents with a Realistic and Rich 3D Environment

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:06:08.988779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-17T06:31:00.352745+00:00.

Pith citing papers

No inbound Pith citation observations are available.